Nathan O. Hodas

82 total papers · 2.8k total citations
22 papers, 1.2k citations indexed

About

Nathan O. Hodas is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Nathan O. Hodas has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Nathan O. Hodas's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (5 papers) and Complex Network Analysis Techniques (4 papers). Nathan O. Hodas is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (5 papers) and Complex Network Analysis Techniques (4 papers). Nathan O. Hodas collaborates with scholars based in United States, Switzerland and Egypt. Nathan O. Hodas's co-authors include Garrett B. Goh, Abhinav Vishnu, Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, Charles Siegel, Courtney D. Corley, Wilton Mui, John H. Seinfeld and Andreas Zuend and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Scientific Reports.

In The Last Decade

Nathan O. Hodas

22 papers receiving 1.1k citations

Hit Papers

Deep learning for computa... 2017 2026 2020 2023 2017 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
Nathan O. Hodas 320 301 271 215 204 22 1.2k
Hao Lü 187 0.6× 125 0.4× 339 1.3× 256 1.2× 34 0.2× 69 1.4k
Jingbo Zhou 323 1.0× 388 1.3× 337 1.2× 351 1.6× 28 0.1× 75 1.2k
Pedro Contreras 48 0.1× 70 0.2× 130 0.5× 379 1.8× 45 0.2× 33 1.4k
Bowen Liu 367 1.1× 425 1.4× 308 1.1× 63 0.3× 11 0.1× 17 990
Qiao Xue 65 0.2× 104 0.3× 414 1.5× 92 0.4× 28 0.1× 96 1.4k
Xin Ma 167 0.5× 48 0.2× 349 1.3× 140 0.7× 12 0.1× 58 1.1k
Chaoyang Zhang 62 0.2× 177 0.6× 170 0.6× 424 2.0× 29 0.1× 81 1.3k
Nathaniel A. Woody 66 0.2× 66 0.2× 126 0.5× 251 1.2× 18 0.1× 13 1.5k
Xianghua Li 118 0.4× 48 0.2× 47 0.2× 317 1.5× 155 0.8× 115 1.4k
Jie Li 249 0.8× 104 0.3× 61 0.2× 250 1.2× 32 0.2× 71 1.1k

Countries citing papers authored by Nathan O. Hodas

Since Specialization
Citations

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

Fields of papers citing papers by Nathan O. Hodas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan O. Hodas. 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 Nathan O. Hodas. The network helps show where Nathan O. Hodas may publish in the future.

Co-authorship network of co-authors of Nathan O. Hodas

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan O. Hodas. A scholar is included among the top collaborators of Nathan O. Hodas 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 Nathan O. Hodas. Nathan O. Hodas 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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