Kim Schouten

45 total papers · 1.5k total citations
22 papers, 881 citations indexed

About

Kim Schouten is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Kim Schouten has authored 22 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Kim Schouten's work include Advanced Text Analysis Techniques (14 papers), Sentiment Analysis and Opinion Mining (13 papers) and Text and Document Classification Technologies (6 papers). Kim Schouten is often cited by papers focused on Advanced Text Analysis Techniques (14 papers), Sentiment Analysis and Opinion Mining (13 papers) and Text and Document Classification Technologies (6 papers). Kim Schouten collaborates with scholars based in Netherlands, Germany and Austria. Kim Schouten's co-authors include Flavius Frăsincar, Rommert Dekker, Frederik Hogenboom, Erik‐Hans Klijn, Alexander Hogenboom, Franciska de Jong, Renée van Pel, Steven W. J. Lamberts, Aart H. Bootsma and Ellen C. Zwarthoff and has published in prestigious journals such as Expert Systems with Applications, International Journal of Cancer and IEEE Transactions on Cybernetics.

In The Last Decade

Kim Schouten

22 papers receiving 830 citations

Hit Papers

Survey on Aspect-Level Se... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kim Schouten 744 179 127 58 32 22 881
Guixian Xu 554 0.7× 182 1.0× 90 0.7× 52 0.9× 41 1.3× 31 804
Kang Liu 644 0.9× 147 0.8× 95 0.7× 27 0.5× 23 0.7× 28 824
Marouane Birjali 564 0.8× 188 1.1× 116 0.9× 56 1.0× 26 0.8× 16 791
Zhu Zhang 771 1.0× 219 1.2× 106 0.8× 42 0.7× 37 1.2× 43 961
Yohan Jo 739 1.0× 227 1.3× 142 1.1× 26 0.4× 80 2.5× 29 999
Tony Mullen 704 0.9× 157 0.9× 70 0.6× 28 0.5× 34 1.1× 18 838
Annavarapu Chandra Sekhara Rao 489 0.7× 102 0.6× 95 0.7× 40 0.7× 19 0.6× 12 767
Jeonghee Yi 770 1.0× 332 1.9× 126 1.0× 59 1.0× 66 2.1× 12 1.0k
Óscar Araque 746 1.0× 294 1.6× 279 2.2× 49 0.8× 34 1.1× 29 989
Khairullah Khan 574 0.8× 285 1.6× 75 0.6× 51 0.9× 20 0.6× 31 785

Countries citing papers authored by Kim Schouten

Since Specialization
Citations

This map shows the geographic impact of Kim Schouten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kim Schouten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Schouten more than expected).

Fields of papers citing papers by Kim Schouten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Schouten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kim Schouten. The network helps show where Kim Schouten may publish in the future.

Co-authorship network of co-authors of Kim Schouten

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Schouten. A scholar is included among the top collaborators of Kim Schouten based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Schouten. Kim Schouten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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