Benjamin J. Hescott
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Bioinformatics and Genomic Networks 12
- Microbial Metabolic Engineering and Bioproduction 4
- Gene Regulatory Network Analysis 3
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- Computational Drug Discovery Methods 2
- Co-authors
- Jisoo Park (4 shared papers)Lenore Cowen (6 shared papers)Hao Zhang (2 shared papers)Donna K. Slonim (5 shared papers)Mark E. Crovella (2 shared papers)Thomas J. Schaffner (2 shared papers)Noah M. Daniels (1 shared paper)Mark D.M. Leiserson (6 shared papers)
- Journals
- Bioinformatics (2 papers)Journal of Computational Biology (2 papers)Nature Methods (2 papers)Artificial Intelligence (1 paper)Journal of Biomedical Semantics (1 paper)
- Partner nations
- United StatesIsraelBelgium
In The Last Decade
Benjamin J. Hescott
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 105
- Molecular Biology 386
- Computational Mathematics 3
- Computer Science Applications 23
- Statistical and Nonlinear Physics 28
Countries citing papers authored by Benjamin J. Hescott
This map shows the geographic impact of Benjamin J. Hescott'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 Benjamin J. Hescott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Hescott more than expected).
Fields of papers citing papers by Benjamin J. Hescott
This network shows the impact of papers produced by Benjamin J. Hescott. 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 Benjamin J. Hescott. The network helps show where Benjamin J. Hescott may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin J. Hescott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 205 | |
| 2 | 2014 | 91 | |
| 3 | 2013 | 84 | |
| 4 | 2011 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2022 | 15 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2010 | 8 | |
| 13 | On Clustering Images Using Compression | 2006 | 7 |
| 14 | 2011 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2009 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2014 | 2 |
About Benjamin J. Hescott
Benjamin J. Hescott is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Science Applications, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 546 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (3 papers), Modular Robots and Swarm Intelligence (2 papers), Digital Image Processing Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Computational Geometry and Mesh Generation (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Molecular Biology (386 citations), Computational Mathematics (3 citations), Computer Science Applications (23 citations) and Statistical and Nonlinear Physics (28 citations). Benjamin J. Hescott has collaborated with scholars based in United States, Israel and Belgium. Frequent co-authors include Jisoo Park, Lenore Cowen, Hao Zhang, Donna K. Slonim, Mark E. Crovella, Thomas J. Schaffner, Noah M. Daniels, Mark D.M. Leiserson, Anselm Blumer and Andrew D. Fox. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Nature Methods, Artificial Intelligence and Journal of Biomedical Semantics.
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.