Nicholas Kolkin

24 total papers · 1.6k total citations
4 papers, 819 citations indexed

About

Nicholas Kolkin is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Information Systems and Management. According to data from OpenAlex, Nicholas Kolkin has authored 4 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Information Systems and 1 paper in Information Systems and Management. Recurrent topics in Nicholas Kolkin's work include Multimodal Machine Learning Applications (2 papers), Recommender Systems and Techniques (1 paper) and Topic Modeling (1 paper). Nicholas Kolkin is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Recommender Systems and Techniques (1 paper) and Topic Modeling (1 paper). Nicholas Kolkin collaborates with scholars based in United States and Canada. Nicholas Kolkin's co-authors include Matt J. Kusner, Yu Sun, Kilian Q. Weinberger, M. Fisher, Helge Rhodin, Lantao Yu, James Hays, Ratheesh Kalarot, Yuchen Liu and Richard Zhang and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and PolyPublie (École Polytechnique de Montréal).

In The Last Decade

Nicholas Kolkin

4 papers receiving 745 citations

Hit Papers

From Word Embeddings To D... 2015 2026 2018 2022 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Nicholas Kolkin 629 183 139 45 43 4 819
Steve Yuan 843 1.3× 161 0.9× 150 1.1× 41 0.9× 52 1.2× 4 1.1k
Lawrence Shih 490 0.8× 270 1.5× 79 0.6× 69 1.5× 55 1.3× 7 723
S TAN 661 1.1× 244 1.3× 104 0.7× 47 1.0× 39 0.9× 6 823
Pankaj Kumar Singh 776 1.2× 157 0.9× 297 2.1× 33 0.7× 57 1.3× 8 1.0k
Sheng-yi Kong 715 1.1× 147 0.8× 119 0.9× 40 0.9× 70 1.6× 12 890
Julie B. Lovins 600 1.0× 292 1.6× 66 0.5× 50 1.1× 56 1.3× 7 776
Kevin Thompson 568 0.9× 238 1.3× 105 0.8× 80 1.8× 98 2.3× 7 844
Doug Cutting 669 1.1× 308 1.7× 102 0.7× 107 2.4× 76 1.8× 7 932
Ning Dai 685 1.1× 162 0.9× 149 1.1× 54 1.2× 66 1.5× 13 938
Zhi-Hua Zhou 481 0.8× 231 1.3× 201 1.4× 87 1.9× 91 2.1× 8 1.0k

Countries citing papers authored by Nicholas Kolkin

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Kolkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Kolkin. 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 Nicholas Kolkin. The network helps show where Nicholas Kolkin may publish in the future.

Co-authorship network of co-authors of Nicholas Kolkin

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

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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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