diff --git a/WOS/wos_analysis/wos_analyses.ipynb b/WOS/wos_analysis/wos_analyses.ipynb index 227585b..8d592dc 100644 --- a/WOS/wos_analysis/wos_analyses.ipynb +++ b/WOS/wos_analysis/wos_analyses.ipynb @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "outputs": [], "source": [ "os.makedirs('plot_html',exist_ok=True)\n", @@ -54,8 +54,15 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 3, "outputs": [ + { + "data": { + "text/html": " \n " + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/vnd.plotly.v1+json": { @@ -238087,7 +238094,7 @@ "plotlyServerURL": "https://plotly.com" } }, - "text/html": "
\n | Publication Years | \nRecord Count | \nScope | \n
---|---|---|---|
0 | \n2022 | \n137341 | \nCH | \n
1 | \n2021 | \n115165 | \nCH | \n
2 | \n2020 | \n93883 | \nCH | \n
3 | \n2019 | \n84000 | \nCH | \n
4 | \n2018 | \n66036 | \nCH | \n
... | \n... | \n... | \n... | \n
79 | \n2015 | \n37300 | \nUSA | \n
80 | \n2014 | \n33877 | \nUSA | \n
81 | \n2013 | \n29787 | \nUSA | \n
82 | \n2012 | \n27217 | \nUSA | \n
83 | \n2011 | \n24728 | \nUSA | \n
84 rows × 3 columns
\n\n | Publication Years | \nRecord Count | \nScope | \n
---|---|---|---|
0 | \n2022 | \n137341 | \nCH | \n
1 | \n2021 | \n115165 | \nCH | \n
2 | \n2020 | \n93883 | \nCH | \n
3 | \n2019 | \n84000 | \nCH | \n
4 | \n2018 | \n66036 | \nCH | \n
5 | \n2017 | \n51529 | \nCH | \n
6 | \n2016 | \n44347 | \nCH | \n
7 | \n2015 | \n37593 | \nCH | \n
8 | \n2014 | \n33470 | \nCH | \n
9 | \n2013 | \n27578 | \nCH | \n
10 | \n2012 | \n24429 | \nCH | \n
11 | \n2011 | \n20404 | \nCH | \n
24 | \n2021 | \n106565 | \nEU | \n
25 | \n2022 | \n101584 | \nEU | \n
26 | \n2020 | \n91410 | \nEU | \n
27 | \n2019 | \n86682 | \nEU | \n
28 | \n2018 | \n74242 | \nEU | \n
29 | \n2017 | \n62142 | \nEU | \n
30 | \n2016 | \n57011 | \nEU | \n
31 | \n2015 | \n52705 | \nEU | \n
32 | \n2014 | \n47238 | \nEU | \n
33 | \n2013 | \n41915 | \nEU | \n
34 | \n2012 | \n36755 | \nEU | \n
35 | \n2011 | \n34544 | \nEU | \n
60 | \n2022 | \n382731 | \nglobal | \n
61 | \n2021 | \n372598 | \nglobal | \n
62 | \n2020 | \n319809 | \nglobal | \n
63 | \n2019 | \n300113 | \nglobal | \n
64 | \n2018 | \n254106 | \nglobal | \n
65 | \n2017 | \n206298 | \nglobal | \n
66 | \n2016 | \n184780 | \nglobal | \n
67 | \n2015 | \n166257 | \nglobal | \n
68 | \n2014 | \n148467 | \nglobal | \n
69 | \n2013 | \n128943 | \nglobal | \n
70 | \n2012 | \n114565 | \nglobal | \n
71 | \n2011 | \n100984 | \nglobal | \n
72 | \n2021 | \n81152 | \nUSA | \n
73 | \n2022 | \n72447 | \nUSA | \n
74 | \n2020 | \n71191 | \nUSA | \n
75 | \n2019 | \n68441 | \nUSA | \n
76 | \n2018 | \n57237 | \nUSA | \n
77 | \n2017 | \n47038 | \nUSA | \n
78 | \n2016 | \n41587 | \nUSA | \n
79 | \n2015 | \n37300 | \nUSA | \n
80 | \n2014 | \n33877 | \nUSA | \n
81 | \n2013 | \n29787 | \nUSA | \n
82 | \n2012 | \n27217 | \nUSA | \n
83 | \n2011 | \n24728 | \nUSA | \n
\n | Publication Years | \nRecord Count | \nScope | \n
---|---|---|---|
12 | \n2021 | \n11677 | \nCN+US | \n
13 | \n2020 | \n10774 | \nCN+US | \n
14 | \n2022 | \n10551 | \nCN+US | \n
15 | \n2019 | \n10098 | \nCN+US | \n
16 | \n2018 | \n7907 | \nCN+US | \n
17 | \n2017 | \n6064 | \nCN+US | \n
18 | \n2016 | \n4827 | \nCN+US | \n
19 | \n2015 | \n4051 | \nCN+US | \n
20 | \n2014 | \n3321 | \nCN+US | \n
21 | \n2013 | \n2541 | \nCN+US | \n
22 | \n2012 | \n2002 | \nCN+US | \n
23 | \n2011 | \n1629 | \nCN+US | \n
36 | \n2022 | \n11079 | \nEU+CN | \n
37 | \n2021 | \n10573 | \nEU+CN | \n
38 | \n2020 | \n8492 | \nEU+CN | \n
39 | \n2019 | \n7007 | \nEU+CN | \n
40 | \n2018 | \n5243 | \nEU+CN | \n
41 | \n2017 | \n3802 | \nEU+CN | \n
42 | \n2016 | \n3046 | \nEU+CN | \n
43 | \n2015 | \n2487 | \nEU+CN | \n
44 | \n2014 | \n2123 | \nEU+CN | \n
45 | \n2013 | \n1558 | \nEU+CN | \n
46 | \n2012 | \n1226 | \nEU+CN | \n
47 | \n2011 | \n1000 | \nEU+CN | \n
48 | \n2021 | \n13659 | \nEU+US | \n
49 | \n2022 | \n12705 | \nEU+US | \n
50 | \n2020 | \n11524 | \nEU+US | \n
51 | \n2019 | \n10610 | \nEU+US | \n
52 | \n2018 | \n9044 | \nEU+US | \n
53 | \n2017 | \n7587 | \nEU+US | \n
54 | \n2016 | \n6714 | \nEU+US | \n
55 | \n2015 | \n5911 | \nEU+US | \n
56 | \n2014 | \n5177 | \nEU+US | \n
57 | \n2013 | \n4525 | \nEU+US | \n
58 | \n2012 | \n3982 | \nEU+US | \n
59 | \n2011 | \n3663 | \nEU+US | \n
\n | UT (Unique WOS ID) | \nCountry_eu | \nInstitution_harm_eu | \nCountry_Type_eu | \nEurovoc_Class_eu | \nISO3_eu | \nInstitution_harm_label_eu | \nCountry_ch | \nInstitution_harm_ch | \nCountry_Type_ch | \nEurovoc_Class_ch | \nISO3_ch | \nInstitution_harm_label_ch | \nDomain_English | \nField_English | \nSubField_English | \n
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | \nWOS:000209339300005 | \nBelgium | \nUniv Ghent | \nEU | \nWestern Europe | \nBEL | \nUniv Ghent (BEL) | \nChina | \nChinese Acad Sci | \nChina | \nChina | \nCHN | \nChinese Acad Sci (CHN) | \nApplied Sciences | \nInformation & Communication Technologies | \nSoftware Engineering | \n
9 | \nWOS:000285920700035 | \nBelgium | \nUniv Ghent | \nEU | \nWestern Europe | \nBEL | \nUniv Ghent (BEL) | \nChina | \nUniv Elect Sci & Technol China | \nChina | \nChina | \nCHN | \nUniv Elect Sci & Technol China (CHN) | \nApplied Sciences | \nEngineering | \nElectrical & Electronic Engineering | \n
41 | \nWOS:000290883000018 | \nBelgium | \nUniv Ghent | \nEU | \nWestern Europe | \nBEL | \nUniv Ghent (BEL) | \nChina | \nChinese Acad Sci | \nChina | \nChina | \nCHN | \nChinese Acad Sci (CHN) | \nNatural Sciences | \nChemistry | \nAnalytical Chemistry | \n
85 | \nWOS:000295004100006 | \nBelgium | \nUniv Ghent | \nEU | \nWestern Europe | \nBEL | \nUniv Ghent (BEL) | \nChina | \nFudan Univ | \nChina | \nChina | \nCHN | \nFudan Univ (CHN) | \nHealth Sciences | \nClinical Medicine | \nObstetrics & Reproductive Medicine | \n
86 | \nWOS:000295004100006 | \nBelgium | \nUniv Ghent | \nEU | \nWestern Europe | \nBEL | \nUniv Ghent (BEL) | \nChina | \nXi An Jiao Tong Univ | \nChina | \nChina | \nCHN | \nXi An Jiao Tong Univ (CHN) | \nHealth Sciences | \nClinical Medicine | \nObstetrics & Reproductive Medicine | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
334438 | \nWOS:000799112900001 | \nPortugal | \nUniv Lisbon | \nEU | \nSouthern Europe | \nPRT | \nUniv Lisbon (PRT) | \nChina | \nChinese Univ Hong Kong | \nChina | \nChina | \nCHN | \nChinese Univ Hong Kong (CHN) | \nHealth Sciences | \nPsychology & Cognitive Sciences | \nExperimental Psychology | \n
334485 | \nWOS:000822117100001 | \nPortugal | \nUniv Lisbon | \nEU | \nSouthern Europe | \nPRT | \nUniv Lisbon (PRT) | \nChina | \nUniv Hong Kong | \nChina | \nChina | \nCHN | \nUniv Hong Kong (CHN) | \nApplied Sciences | \nEngineering | \nGeological & Geomatics Engineering | \n
334492 | \nWOS:000837179400001 | \nPortugal | \nUniv Lisbon | \nEU | \nSouthern Europe | \nPRT | \nUniv Lisbon (PRT) | \nChina | \nSun Yat Sen Univ | \nChina | \nChina | \nCHN | \nSun Yat Sen Univ (CHN) | \nApplied Sciences | \nEngineering | \nCivil Engineering | \n
334493 | \nWOS:000837179400001 | \nPortugal | \nUniv Lisbon | \nEU | \nSouthern Europe | \nPRT | \nUniv Lisbon (PRT) | \nChina | \nUniv Elect Sci & Technol China | \nChina | \nChina | \nCHN | \nUniv Elect Sci & Technol China (CHN) | \nApplied Sciences | \nEngineering | \nCivil Engineering | \n
334529 | \nWOS:000863320100004 | \nPortugal | \nUniv Lisbon | \nEU | \nSouthern Europe | \nPRT | \nUniv Lisbon (PRT) | \nChina | \nUniv Elect Sci & Technol China | \nChina | \nChina | \nCHN | \nUniv Elect Sci & Technol China (CHN) | \nApplied Sciences | \nEnabling & Strategic Technologies | \nStrategic, Defence & Security Studies | \n
13409 rows × 16 columns
\n\n | Publication Year | \nField_English | \nUT (Unique WOS ID) | \nDomain_English | \nPublication Year_relative_growth | \nUT (Unique WOS ID)_relative_growth | \nDomain_English_relative_growth | \nUT (Unique WOS ID)_cumsum | \n
---|---|---|---|---|---|---|---|---|
0 | \n2011 | \nAgriculture, Fisheries & Forestry | \n9.0 | \nApplied Sciences | \n2011 | \n0.000000 | \nApplied Sciences | \n9.0 | \n
1 | \n2012 | \nAgriculture, Fisheries & Forestry | \n18.0 | \nApplied Sciences | \n2011 | \n1.000000 | \nApplied Sciences | \n27.0 | \n
2 | \n2013 | \nAgriculture, Fisheries & Forestry | \n15.0 | \nApplied Sciences | \n2011 | \n0.666667 | \nApplied Sciences | \n42.0 | \n
3 | \n2014 | \nAgriculture, Fisheries & Forestry | \n26.0 | \nApplied Sciences | \n2011 | \n1.888889 | \nApplied Sciences | \n68.0 | \n
4 | \n2015 | \nAgriculture, Fisheries & Forestry | \n12.0 | \nApplied Sciences | \n2011 | \n0.333333 | \nApplied Sciences | \n80.0 | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
79 | \n2018 | \nSocial Sciences | \n0.0 | \nApplied Sciences | \n2017 | \n-1.000000 | \nApplied Sciences | \n1.0 | \n
80 | \n2019 | \nSocial Sciences | \n0.0 | \nApplied Sciences | \n2017 | \n-1.000000 | \nApplied Sciences | \n1.0 | \n
81 | \n2020 | \nSocial Sciences | \n0.0 | \nApplied Sciences | \n2017 | \n-1.000000 | \nApplied Sciences | \n1.0 | \n
82 | \n2021 | \nSocial Sciences | \n0.0 | \nApplied Sciences | \n2017 | \n-1.000000 | \nApplied Sciences | \n1.0 | \n
83 | \n2022 | \nSocial Sciences | \n0.0 | \nApplied Sciences | \n2017 | \n-1.000000 | \nApplied Sciences | \n1.0 | \n
84 rows × 8 columns
\n\n | Publication Year | \nDomain_English | \nField_English | \nUT (Unique WOS ID) | \n
---|---|---|---|---|
0 | \n2011 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n9.0 | \n
1 | \n2011 | \nApplied Sciences | \nBiology | \n0.0 | \n
2 | \n2011 | \nApplied Sciences | \nBiomedical Research | \n0.0 | \n
3 | \n2011 | \nApplied Sciences | \nBuilt Environment & Design | \n6.0 | \n
4 | \n2011 | \nApplied Sciences | \nChemistry | \n0.0 | \n
... | \n... | \n... | \n... | \n... | \n
1375 | \n2022 | \nNatural Sciences | \nPhilosophy & Theology | \n0.0 | \n
1376 | \n2022 | \nNatural Sciences | \nPhysics & Astronomy | \n596.0 | \n
1377 | \n2022 | \nNatural Sciences | \nPsychology & Cognitive Sciences | \n0.0 | \n
1378 | \n2022 | \nNatural Sciences | \nPublic Health & Health Services | \n0.0 | \n
1379 | \n2022 | \nNatural Sciences | \nSocial Sciences | \n0.0 | \n
1380 rows × 4 columns
\n\n | Field_English | \nUT (Unique WOS ID) | \n
---|---|---|
5 | \nInformation & Communication Technologies | \n15648 | \n
4 | \nEngineering | \n9232 | \n
3 | \nEnabling & Strategic Technologies | \n3940 | \n
0 | \nAgriculture, Fisheries & Forestry | \n612 | \n
1 | \nBuilt Environment & Design | \n537 | \n
2 | \nEconomics & Business | \n15 | \n
6 | \nSocial Sciences | \n1 | \n
\n | Publication Year | \nDomain_English | \nField_English | \nUT (Unique WOS ID) | \nPublication Year_relative_growth | \nUT (Unique WOS ID)_relative_growth | \nUT (Unique WOS ID)_cumsum | \n
---|---|---|---|---|---|---|---|
0 | \n2011 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n9.0 | \n2011 | \n0.000000 | \n9.0 | \n
1 | \n2012 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n18.0 | \n2011 | \n1.000000 | \n27.0 | \n
2 | \n2013 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n15.0 | \n2011 | \n0.666667 | \n42.0 | \n
3 | \n2014 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n26.0 | \n2011 | \n1.888889 | \n68.0 | \n
4 | \n2015 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n12.0 | \n2011 | \n0.333333 | \n80.0 | \n
5 | \n2016 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n24.0 | \n2011 | \n1.666667 | \n104.0 | \n
6 | \n2017 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n39.0 | \n2011 | \n3.333333 | \n143.0 | \n
7 | \n2018 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n46.0 | \n2011 | \n4.111111 | \n189.0 | \n
8 | \n2019 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n73.0 | \n2011 | \n7.111111 | \n262.0 | \n
9 | \n2020 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n105.0 | \n2011 | \n10.666667 | \n367.0 | \n
10 | \n2021 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n118.0 | \n2011 | \n12.111111 | \n485.0 | \n
11 | \n2022 | \nApplied Sciences | \nAgriculture, Fisheries & Forestry | \n127.0 | \n2011 | \n13.111111 | \n612.0 | \n
12 | \n2011 | \nApplied Sciences | \nBuilt Environment & Design | \n6.0 | \n2011 | \n0.000000 | \n6.0 | \n
13 | \n2012 | \nApplied Sciences | \nBuilt Environment & Design | \n8.0 | \n2011 | \n0.333333 | \n14.0 | \n
14 | \n2013 | \nApplied Sciences | \nBuilt Environment & Design | \n1.0 | \n2011 | \n-0.833333 | \n15.0 | \n
15 | \n2014 | \nApplied Sciences | \nBuilt Environment & Design | \n17.0 | \n2011 | \n1.833333 | \n32.0 | \n
16 | \n2015 | \nApplied Sciences | \nBuilt Environment & Design | \n18.0 | \n2011 | \n2.000000 | \n50.0 | \n
17 | \n2016 | \nApplied Sciences | \nBuilt Environment & Design | \n13.0 | \n2011 | \n1.166667 | \n63.0 | \n
18 | \n2017 | \nApplied Sciences | \nBuilt Environment & Design | \n24.0 | \n2011 | \n3.000000 | \n87.0 | \n
19 | \n2018 | \nApplied Sciences | \nBuilt Environment & Design | \n41.0 | \n2011 | \n5.833333 | \n128.0 | \n
20 | \n2019 | \nApplied Sciences | \nBuilt Environment & Design | \n59.0 | \n2011 | \n8.833333 | \n187.0 | \n
21 | \n2020 | \nApplied Sciences | \nBuilt Environment & Design | \n84.0 | \n2011 | \n13.000000 | \n271.0 | \n
22 | \n2021 | \nApplied Sciences | \nBuilt Environment & Design | \n116.0 | \n2011 | \n18.333333 | \n387.0 | \n
23 | \n2022 | \nApplied Sciences | \nBuilt Environment & Design | \n150.0 | \n2011 | \n24.000000 | \n537.0 | \n
24 | \n2011 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n53.0 | \n2011 | \n0.000000 | \n53.0 | \n
25 | \n2012 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n61.0 | \n2011 | \n0.150943 | \n114.0 | \n
26 | \n2013 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n80.0 | \n2011 | \n0.509434 | \n194.0 | \n
27 | \n2014 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n115.0 | \n2011 | \n1.169811 | \n309.0 | \n
28 | \n2015 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n117.0 | \n2011 | \n1.207547 | \n426.0 | \n
29 | \n2016 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n161.0 | \n2011 | \n2.037736 | \n587.0 | \n
30 | \n2017 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n213.0 | \n2011 | \n3.018868 | \n800.0 | \n
31 | \n2018 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n330.0 | \n2011 | \n5.226415 | \n1130.0 | \n
32 | \n2019 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n468.0 | \n2011 | \n7.830189 | \n1598.0 | \n
33 | \n2020 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n577.0 | \n2011 | \n9.886792 | \n2175.0 | \n
34 | \n2021 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n815.0 | \n2011 | \n14.377358 | \n2990.0 | \n
35 | \n2022 | \nApplied Sciences | \nEnabling & Strategic Technologies | \n950.0 | \n2011 | \n16.924528 | \n3940.0 | \n
36 | \n2011 | \nApplied Sciences | \nEngineering | \n166.0 | \n2011 | \n0.000000 | \n166.0 | \n
37 | \n2012 | \nApplied Sciences | \nEngineering | \n181.0 | \n2011 | \n0.090361 | \n347.0 | \n
38 | \n2013 | \nApplied Sciences | \nEngineering | \n238.0 | \n2011 | \n0.433735 | \n585.0 | \n
39 | \n2014 | \nApplied Sciences | \nEngineering | \n318.0 | \n2011 | \n0.915663 | \n903.0 | \n
40 | \n2015 | \nApplied Sciences | \nEngineering | \n381.0 | \n2011 | \n1.295181 | \n1284.0 | \n
41 | \n2016 | \nApplied Sciences | \nEngineering | \n481.0 | \n2011 | \n1.897590 | \n1765.0 | \n
42 | \n2017 | \nApplied Sciences | \nEngineering | \n587.0 | \n2011 | \n2.536145 | \n2352.0 | \n
43 | \n2018 | \nApplied Sciences | \nEngineering | \n767.0 | \n2011 | \n3.620482 | \n3119.0 | \n
44 | \n2019 | \nApplied Sciences | \nEngineering | \n1059.0 | \n2011 | \n5.379518 | \n4178.0 | \n
45 | \n2020 | \nApplied Sciences | \nEngineering | \n1379.0 | \n2011 | \n7.307229 | \n5557.0 | \n
46 | \n2021 | \nApplied Sciences | \nEngineering | \n1626.0 | \n2011 | \n8.795181 | \n7183.0 | \n
47 | \n2022 | \nApplied Sciences | \nEngineering | \n2049.0 | \n2011 | \n11.343373 | \n9232.0 | \n
48 | \n2011 | \nApplied Sciences | \nInformation & Communication Technologies | \n256.0 | \n2011 | \n0.000000 | \n256.0 | \n
49 | \n2012 | \nApplied Sciences | \nInformation & Communication Technologies | \n325.0 | \n2011 | \n0.269531 | \n581.0 | \n
50 | \n2013 | \nApplied Sciences | \nInformation & Communication Technologies | \n404.0 | \n2011 | \n0.578125 | \n985.0 | \n
51 | \n2014 | \nApplied Sciences | \nInformation & Communication Technologies | \n554.0 | \n2011 | \n1.164062 | \n1539.0 | \n
52 | \n2015 | \nApplied Sciences | \nInformation & Communication Technologies | \n673.0 | \n2011 | \n1.628906 | \n2212.0 | \n
53 | \n2016 | \nApplied Sciences | \nInformation & Communication Technologies | \n855.0 | \n2011 | \n2.339844 | \n3067.0 | \n
54 | \n2017 | \nApplied Sciences | \nInformation & Communication Technologies | \n1055.0 | \n2011 | \n3.121094 | \n4122.0 | \n
55 | \n2018 | \nApplied Sciences | \nInformation & Communication Technologies | \n1622.0 | \n2011 | \n5.335938 | \n5744.0 | \n
56 | \n2019 | \nApplied Sciences | \nInformation & Communication Technologies | \n2068.0 | \n2011 | \n7.078125 | \n7812.0 | \n
57 | \n2020 | \nApplied Sciences | \nInformation & Communication Technologies | \n2296.0 | \n2011 | \n7.968750 | \n10108.0 | \n
58 | \n2021 | \nApplied Sciences | \nInformation & Communication Technologies | \n2617.0 | \n2011 | \n9.222656 | \n12725.0 | \n
59 | \n2022 | \nApplied Sciences | \nInformation & Communication Technologies | \n2923.0 | \n2011 | \n10.417969 | \n15648.0 | \n
\n | Field_English | \nUT (Unique WOS ID) | \n
---|---|---|
0 | \nAgriculture, Fisheries & Forestry | \n612 | \n
1 | \nBuilt Environment & Design | \n537 | \n
2 | \nEconomics & Business | \n15 | \n
3 | \nEnabling & Strategic Technologies | \n3940 | \n
4 | \nEngineering | \n9232 | \n
5 | \nInformation & Communication Technologies | \n15648 | \n
6 | \nSocial Sciences | \n1 | \n