Benjamin Hescott

22 papers receiving 303 citations

Peers

Benjamin Hescott
Comparison fields: 5 of 83
  • Computational Mathematics 3
  • Computational Theory and Mathematics 77
  • Computer Science Applications 21
  • Molecular Biology 211
  • Family Practice 6
Replace Luke Mathieson with:
Luke Mathieson Australia
Lori Ziegelmeier United States
Matthew England United Kingdom
Hengtong Zhang United States
Kevin R. Sanft United States
Ava P. Amini United States
Ruoyun Xiong United States
Dazhi Jiao United States
Łukasz Dębowski Poland
Marija Rašajski Serbia
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Citations per field
00.5×7.3×
Luke Mathieson · 1×
Citations per year

Countries citing papers authored by Benjamin Hescott

Since Specialization
Citations

This map shows the geographic impact of Benjamin 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 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 Hescott more than expected).

Fields of papers citing papers by Benjamin Hescott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Benjamin Hescott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Hescott Line = papers co-authored together Benjamin Hescott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20209
2 201911
3 201910
4 201921
5 20183
6 20184
7 201711
8 20150
9 20142
10 20142
11 201484
12 20133
13 201373
14 201311
15 20131
16 20116
17 201123
18 20107
19
Compositematch: detecting N-ary matches in ontology alignment
20091
20
On Clustering Images Using Compression
20067

About Benjamin Hescott

Benjamin Hescott is a scholar working on Computer Graphics and Computer-Aided Design, Aging, Computer Science Applications, Family Practice and Computational Theory and Mathematics, having authored 23 papers that have together received 308 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Computational Geometry and Mesh Generation (2 papers), Biomedical Text Mining and Ontologies (2 papers), Computational Drug Discovery Methods (2 papers), Teaching and Learning Programming (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computational Mathematics (3 citations), Computational Theory and Mathematics (77 citations), Computer Science Applications (21 citations), Molecular Biology (211 citations) and Family Practice (6 citations). Benjamin Hescott has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Jisoo Park, Lenore Cowen, Hao Zhang, Donna K. Slonim, Mark Crovella, Noah M. Daniels, Thomas Schaffner, Andrew Fox, Anselm Blumer and Mark D.M. Leiserson. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, PLoS ONE, Scientific Reports and Theory of Computing Systems.

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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