Thomas Anantharaman

6.0k citations
40 papers · 1.2k · h-index 17

Impact in

Papers in

    • Genomics and Phylogenetic Studies 14
    • Genetics, Bioinformatics, and Biomedical Research 8
    • DNA and Biological Computing 4
    • RNA and protein synthesis mechanisms 3
    • Algorithms and Data Compression 6
    • Artificial Intelligence in Games 5

Thomas Anantharaman

38 papers receiving 1.2k citations

Peers

Thomas Anantharaman
Comparison fields: 5 of 124
  • Structural Biology 16
  • Molecular Biology 565
  • Endocrinology 37
  • Genetics 149
  • Hardware and Architecture 37
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Anantharaman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Anantharaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Anantharaman, 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 Thomas Anantharaman Line = papers co-authored together Thomas Anantharaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998241
2 1999132
3 2014106
4 199091
5 201572
6 200164
7 199963
8 199754
9 199050
10 199849
11 200840
12 200434
13
Genomics via optical mapping. III: Contiging genomic DNA.
199931
14 199528
15 199924
16 198620
17 198817
18
Genomics via Optical Mapping III: Contiging Genomic DNA and Variations
199815
19 200014
20 199112

About Thomas Anantharaman

Thomas Anantharaman is a scholar working on Molecular Biology, Artificial Intelligence, Economics and Econometrics, Hardware and Architecture and Genetics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Genetics, Bioinformatics, and Biomedical Research (8 papers), Algorithms and Data Compression (6 papers), Artificial Intelligence in Games (5 papers), Sports Analytics and Performance (5 papers), DNA and Biological Computing (4 papers), Embedded Systems Design Techniques (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Structural Biology (16 citations), Molecular Biology (565 citations), Endocrinology (37 citations), Genetics (149 citations) and Hardware and Architecture (37 citations). Thomas Anantharaman has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David C. Schwartz, Bud Mishra, Murray Campbell, Feng-hsiung Hsu, Junping Jing, Christopher E. Aston, Andreas Nowatzyk, Virginia Clarke, Edward J. Huff and J. Craig Venter. Their work appears in journals such as Genome Research, Proceedings of the National Academy of Sciences, Distributed Computing, Journal of Computational Biology and Scientific American.

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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