Nicholas C. Ide

19 total papers · 1.6k total citations
12 papers, 1.1k citations indexed

About

Nicholas C. Ide is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nicholas C. Ide has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nicholas C. Ide's work include Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (4 papers) and Meta-analysis and systematic reviews (3 papers). Nicholas C. Ide is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (4 papers) and Meta-analysis and systematic reviews (3 papers). Nicholas C. Ide collaborates with scholars based in United States and France. Nicholas C. Ide's co-authors include Tony Tse, Deborah A. Zarin, Robert M. Califf, Rebecca J. Williams, Donald A. B. Lindberg, William R. Harlan, Joyce C. West, Russell F. Loane, Alan R. Aronson and Dina Demner‐Fushman and has published in prestigious journals such as New England Journal of Medicine, JAMA and Studies in health technology and informatics.

In The Last Decade

Nicholas C. Ide

12 papers receiving 1.0k citations

Hit Papers

The ClinicalTrials.gov Re... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicholas C. Ide 429 415 318 205 142 12 1.1k
Rebecca J. Williams 485 1.1× 493 1.2× 367 1.2× 139 0.7× 107 0.8× 17 1.2k
Kirby Lee 332 0.8× 268 0.6× 256 0.8× 55 0.3× 260 1.8× 19 1.2k
Ruijun Chen 125 0.3× 181 0.4× 176 0.6× 86 0.4× 39 0.3× 53 1.2k
Carolina Riveros 232 0.5× 218 0.5× 177 0.6× 142 0.7× 33 0.2× 26 1.0k
Gerry Gray 74 0.2× 153 0.4× 337 1.1× 115 0.6× 38 0.3× 9 1.4k
Chun Pang 297 0.7× 217 0.5× 127 0.4× 146 0.7× 71 0.5× 33 1.2k
Eugenia Cronin 494 1.2× 276 0.7× 244 0.8× 31 0.2× 73 0.5× 6 1.1k
Élodie Perrodeau 291 0.7× 235 0.6× 202 0.6× 66 0.3× 39 0.3× 43 1.3k
Laura Flight 203 0.5× 214 0.5× 278 0.9× 45 0.2× 15 0.1× 28 1.1k
Alun Bedding 100 0.2× 88 0.2× 184 0.6× 147 0.7× 52 0.4× 32 1.2k

Countries citing papers authored by Nicholas C. Ide

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas C. Ide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas C. Ide. 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 Nicholas C. Ide. The network helps show where Nicholas C. Ide may publish in the future.

Co-authorship network of co-authors of Nicholas C. Ide

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas C. Ide. A scholar is included among the top collaborators of Nicholas C. Ide 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 Nicholas C. Ide. Nicholas C. Ide is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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