Irwin King

27.8k total citations · 14 hit papers
404 papers, 15.4k citations indexed

About

Irwin King is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Irwin King has authored 404 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Artificial Intelligence, 132 papers in Information Systems and 108 papers in Computer Vision and Pattern Recognition. Recurrent topics in Irwin King's work include Recommender Systems and Techniques (76 papers), Topic Modeling (74 papers) and Advanced Graph Neural Networks (53 papers). Irwin King is often cited by papers focused on Recommender Systems and Techniques (76 papers), Topic Modeling (74 papers) and Advanced Graph Neural Networks (53 papers). Irwin King collaborates with scholars based in Hong Kong, China and United States. Irwin King's co-authors include Michael R. Lyu, Hao Ma, Haiqin Yang, Zibin Zheng, Zenglin Xu, Haixuan Yang, Chao Liu, Dengyong Zhou, Zixing Song and Tong Zhao and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Irwin King

387 papers receiving 14.8k citations

Hit Papers

Recommender systems with social regularization 2008 2026 2014 2020 2011 2008 2009 2010 2022 250 500 750 1000

Peers

Irwin King
Comparison fields: 5 of 189
  • Information Systems 8.0k
  • Artificial Intelligence 7.9k
  • Computer Vision and Pattern Recognition 3.7k
  • Computer Networks and Communications 2.8k
  • Statistical and Nonlinear Physics 1.4k
Replace Yehuda Koren with:
Yehuda Koren United States
Xiangnan He China
Michael R. Lyu Hong Kong
Yong Yu China
ChengXiang Zhai United States
Naixue Xiong China
Hongzhi Yin Australia
Aristides Gionis Finland
Laurence T. Yang Canada
Lei Chen China
Yehuda Koren United States View profile →
Citations per field, relative to Irwin King
Irwin King · 1×
Citations per year, relative to Irwin King
Irwin King · 1×

Countries citing papers authored by Irwin King

Since Specialization
Citations

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

Fields of papers citing papers by Irwin King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irwin King

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 15
4 2
5 3
6 2
7 2
8 1
9 28
10 4
11
Accurate RNA 3D structure prediction using a language model-based deep learning approach breakdown →
61
12 0
13 14
14 19
15 3
16 84
17 38
18 41
19 6
20 6

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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