Doo Soon Kim

45 total papers · 578 total citations
10 papers, 158 citations indexed

About

Doo Soon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Doo Soon Kim has authored 10 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Doo Soon Kim's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Doo Soon Kim is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Doo Soon Kim collaborates with scholars based in United States, Switzerland and Canada. Doo Soon Kim's co-authors include Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang, Trung Bui, Franck Dernoncourt, Walter Chang, Logan Lebanoff, Fei Liu and Seokhwan Kim and has published in prestigious journals such as Language Resources and Evaluation, Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Doo Soon Kim

10 papers receiving 147 citations

Author Peers

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

Author Last Decade Papers Cites
Doo Soon Kim 143 38 24 8 7 10 158
Guillaume Wenzek 193 1.3× 47 1.2× 19 0.8× 10 1.3× 10 1.4× 6 198
Abhik Bhattacharjee 193 1.3× 35 0.9× 24 1.0× 13 1.6× 11 1.6× 7 256
Guanghui Qin 218 1.5× 62 1.6× 27 1.1× 5 0.6× 8 1.1× 10 248
Yan Wang 166 1.2× 58 1.5× 27 1.1× 6 0.8× 3 0.4× 14 213
Piyawat Lertvittayakumjorn 102 0.7× 20 0.5× 14 0.6× 9 1.1× 6 0.9× 17 122
Rangan Majumder 208 1.5× 86 2.3× 32 1.3× 7 0.9× 7 1.0× 5 221
Corina Forăscu 192 1.3× 30 0.8× 27 1.1× 4 0.5× 11 1.6× 15 216
Rongzhong Lian 232 1.6× 54 1.4× 24 1.0× 9 1.1× 4 0.6× 12 248
Catherine Kobus 189 1.3× 41 1.1× 16 0.7× 4 0.5× 3 0.4× 9 198
Γεράσιμος Λάμπουρας 141 1.0× 16 0.4× 22 0.9× 6 0.8× 13 1.9× 17 147

Countries citing papers authored by Doo Soon Kim

Since Specialization
Citations

This map shows the geographic impact of Doo Soon Kim'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 Doo Soon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doo Soon Kim more than expected).

Fields of papers citing papers by Doo Soon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo Soon Kim. 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 Doo Soon Kim. The network helps show where Doo Soon Kim may publish in the future.

Co-authorship network of co-authors of Doo Soon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Doo Soon Kim. A scholar is included among the top collaborators of Doo Soon Kim 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 Doo Soon Kim. Doo Soon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026