Eric Sid

487 citations
20 papers · 251 · h-index 7

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 7
    • Bioinformatics and Genomic Networks 5
    • Genomics and Rare Diseases 10

Eric Sid

15 papers receiving 246 citations

Peers

Eric Sid
Comparison fields: 5 of 65
  • Insect Science 67
  • Gender Studies 27
  • Health Informatics 3
  • Molecular Biology 146
  • Genetics 45
Replace Alex R. Jones with:
Alex R. Jones United States
Aucky Hinting Indonesia
Michael L. Chen United States
J. F. Guérin France
Ethan Chen United States
Alan B. Fleischer United States
A. Cox Belgium
Gordon Baker Australia
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G.M. Willott United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Eric Sid

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005108
2 201650
3 202026
4 201917
5 201913
6 202111
7 20238
8 20226
9 20224
10 20202
11 20241
12 20211
13
Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed.
20211
14 20201
15 20201
16 20201
17 20240
18 20190
19 20140
20 20240

About Eric Sid

Eric Sid is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 251 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (10 papers), Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (5 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Biomedical and Engineering Education (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Insect Science (67 citations), Gender Studies (27 citations), Health Informatics (3 citations), Molecular Biology (146 citations) and Genetics (45 citations). Eric Sid has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Taro Ohkawa, Jan O. Washburn, Loy E. Volkman, Janice Sabin, Qian Zhu, Ðắc-Trung Nguyễn, Anne Pariser, Noel Southall, Ivan Grishagin and Ewy A. Mathé. Their work appears in journals such as Journal of Virology, Orphanet Journal of Rare Diseases, Academic Medicine, Journal of Biomedical Semantics and Methods of Information in Medicine.

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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