Erik Nijkamp

55 total papers · 2.4k total citations
22 papers, 1.0k citations indexed

About

Erik Nijkamp is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Erik Nijkamp has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Erik Nijkamp's work include Generative Adversarial Networks and Image Synthesis (5 papers), Neural Networks and Applications (5 papers) and Topic Modeling (4 papers). Erik Nijkamp is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Neural Networks and Applications (5 papers) and Topic Modeling (4 papers). Erik Nijkamp collaborates with scholars based in United States, Germany and China. Erik Nijkamp's co-authors include Yannis Sismanis, Rainer Gemulla, Peter J. Haas, Ying Wu, Bo Pang, Ali Madani, Jeffrey A. Ruffolo, Nikhil Naik, Eli N. Weinstein and Ying Wu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Cell Systems.

In The Last Decade

Erik Nijkamp

22 papers receiving 984 citations

Hit Papers

Large-scale matrix factor... 2011 2026 2016 2021 2011 2019 2023 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Erik Nijkamp 415 272 263 170 150 22 1.0k
Razieh Sheikhpour 556 1.3× 414 1.5× 101 0.4× 178 1.0× 127 0.8× 46 1.2k
Junhui Wang 650 1.6× 166 0.6× 417 1.6× 129 0.8× 123 0.8× 54 1.2k
Hisashi Kashima 566 1.4× 234 0.9× 108 0.4× 171 1.0× 65 0.4× 28 1.0k
Purushottam Kar 642 1.5× 311 1.1× 146 0.6× 66 0.4× 69 0.5× 32 1.0k
Zhigang Liu 455 1.1× 270 1.0× 256 1.0× 35 0.2× 117 0.8× 37 1.1k
Jilian Zhang 787 1.9× 332 1.2× 265 1.0× 56 0.3× 109 0.7× 42 1.2k
Lifeng Wang 471 1.1× 275 1.0× 116 0.4× 97 0.6× 110 0.7× 25 1.2k
Zhicheng Cui 788 1.9× 270 1.0× 150 0.6× 123 0.7× 90 0.6× 13 1.2k
Binqiang Zhao 538 1.3× 371 1.4× 433 1.6× 54 0.3× 94 0.6× 24 1.1k
Jie Cheng 425 1.0× 182 0.7× 125 0.5× 147 0.9× 180 1.2× 50 1.0k

Countries citing papers authored by Erik Nijkamp

Since Specialization
Citations

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

Fields of papers citing papers by Erik Nijkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Nijkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Nijkamp. A scholar is included among the top collaborators of Erik Nijkamp 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 Erik Nijkamp. Erik Nijkamp 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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