Nathan O. Hodas

2.8k total citations · 1 hit paper
23 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 23 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, United Kingdom 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, Richard C. Flagan, Andreas Zuend and Wilton Mui 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 computational chemistry 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning for computational chemistry
    2017 555 citations Garrett B. Goh, Nathan O. Hodas et al. Journal of Computational Chemistry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan O. Hodas United States 12 321 302 273 217 207 23 1.2k
Francesc Giralt Spain 32 242 0.8× 335 1.1× 342 1.3× 330 1.5× 138 0.7× 96 3.3k
Yumei Huang China 34 200 0.6× 229 0.8× 144 0.5× 72 0.3× 34 0.2× 118 3.2k
Yijia Zhang China 27 493 1.5× 344 1.1× 1.2k 4.4× 964 4.4× 24 0.1× 208 3.1k
Yongna Yuan China 18 108 0.3× 105 0.3× 223 0.8× 133 0.6× 29 0.1× 48 737
Yimin Yang China 25 146 0.5× 35 0.1× 320 1.2× 127 0.6× 73 0.4× 184 2.2k
Yichen Zhang China 30 201 0.6× 162 0.5× 78 0.3× 1.7k 7.8× 38 0.2× 141 3.2k
Abdul Majid Pakistan 24 814 2.5× 29 0.1× 82 0.3× 324 1.5× 114 0.6× 169 2.3k
K.K. Shukla India 27 218 0.7× 206 0.7× 61 0.2× 314 1.4× 13 0.1× 173 2.3k
Xin Ma China 17 167 0.5× 48 0.2× 353 1.3× 144 0.7× 12 0.1× 59 1.1k
Dennis Thomas United States 23 466 1.5× 131 0.4× 531 1.9× 38 0.2× 9 0.0× 59 1.7k

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

20 of 20 papers shown
1.
Girard, Michael, et al.. (2021). Uranium Oxide Synthetic Pathway Discernment through Unsupervised Morphological Analysis. Journal of Nuclear Materials. 552. 152983–152983. 12 indexed citations
2.
Colby, Sean, Jamie Nuñez, Nathan O. Hodas, Courtney D. Corley, & Ryan Renslow. (2019). Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
3.
Colby, Sean, Jamie Nuñez, Nathan O. Hodas, Courtney D. Corley, & Ryan Renslow. (2019). Deep Learning to Generate in Silico Chemical Property Libraries and Candidate Molecules for Small Molecule Identification in Complex Samples. Analytical Chemistry. 92(2). 1720–1729. 76 indexed citations
4.
Pirrung, Meg, et al.. (2018). SHARKZOR. 1–2. 7 indexed citations
5.
Goh, Garrett B., Nathan O. Hodas, Charles Siegel, & Abhinav Vishnu. (2018). SMILES2vec: Predicting Chemical Properties from Text Representations. 9 indexed citations
6.
Goh, Garrett B., Charles Siegel, Abhinav Vishnu, & Nathan O. Hodas. (2017). ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. arXiv (Cornell University). 6 indexed citations
7.
Goh, Garrett B., Nathan O. Hodas, & Abhinav Vishnu. (2017). Deep learning for computational chemistry. Journal of Computational Chemistry. 38(16). 1291–1307. 555 indexed citations breakdown →
8.
Hohman, Fred, Nathan O. Hodas, & Duen Horng Chau. (2017). ShapeShop. PubMed. 2017. 1694–1699. 11 indexed citations
9.
Volkova, Svitlana, Kyle Shaffer, Jin Yea Jang, & Nathan O. Hodas. (2017). Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. 647–653. 207 indexed citations
10.
Phillips, Lawrence, Kyle Shaffer, Dustin Arendt, Nathan O. Hodas, & Svitlana Volkova. (2017). Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. 6 indexed citations
11.
Jurrus, Elizabeth, et al.. (2016). Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis. PubMed. 2016. 1–6. 1 indexed citations
12.
Hodas, Nathan O., Andreas Zuend, Wilton Mui, Richard C. Flagan, & John H. Seinfeld. (2015). Influence of particle-phase state on the hygroscopic behavior of mixed organic–inorganic aerosols. Atmospheric chemistry and physics. 15(9). 5027–5045. 82 indexed citations
13.
Dempsey, William P., Nathan O. Hodas, Aaron Ponti, & Periklis Pantazis. (2015). Determination of the source of SHG verniers in zebrafish skeletal muscle. Scientific Reports. 5(1). 18119–18119. 4 indexed citations
14.
Hodas, Nathan O., et al.. (2015). Disentangling the Lexicons of Disaster Response in Twitter. 1201–1204. 10 indexed citations
15.
Kooti, Farshad, Nathan O. Hodas, & Kristina Lerman. (2014). Network Weirdness: Exploring the Origins of Network Paradoxes. arXiv (Cornell University). 11 indexed citations
16.
Kooti, Farshad, Nathan O. Hodas, & Kristina Lerman. (2014). Network Weirdness: Exploring the Origins of Network Paradoxes. Proceedings of the International AAAI Conference on Web and Social Media. 8(1). 266–274. 13 indexed citations
17.
Wang, Yanting, Nathan O. Hodas, Yousung Jung, & R. A. Marcus. (2011). Microscopic structure and dynamics of air/water interface by computer simulations—comparison with sum-frequency generation experiments. Physical Chemistry Chemical Physics. 13(12). 5388–5388. 15 indexed citations
18.
Tang, Jianyong, Mark E. Greene, Geoffrey Lowman, et al.. (2007). Hydrosomes: femtoliter containers for fluorescence spectroscopy studies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6644. 66440E–66440E. 2 indexed citations
19.
Hodas, Nathan O.. (2004). Efficient computation of optimal oligo-RNA binding. Nucleic Acids Research. 32(22). 6636–6642. 14 indexed citations
20.
Hodas, Nathan O. & Anand Jagota. (2003). Microscopic modeling of multi-lane highway traffic flow. American Journal of Physics. 71(12). 1247–1256. 2 indexed citations

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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