Eric Neumann

2.1k citations
22 papers · 1.6k · h-index 16

Impact in

    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • Gene Regulatory Network Analysis
    • Metabolomics and Mass Spectrometry Studies
    • Scientific Computing and Data Management

Papers in

Eric Neumann

22 papers receiving 1.5k citations

Peers

Eric Neumann
Comparison fields: 5 of 113
  • Molecular Biology 1k
  • Information Systems and Management 101
  • Artificial Intelligence 335
  • Cellular and Molecular Neuroscience 108
  • Computational Theory and Mathematics 103
Replace David B. Searls with:
David B. Searls United States
Kristina Maria Hettne Netherlands
Martijn van Iersel United States
Misha Kapushesky United Kingdom
Rafael Alcántara United Kingdom
Gabriella Rustici United Kingdom
Ele Holloway United Kingdom
Sarala Wimalaratne United Kingdom
Tommi Nyrönen Finland
Elgar Pichler United States
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Citations per field
00.5×2×3×4.3×
David B. Searls · 1×
Citations per year

Countries citing papers authored by Eric Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Eric Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010544
2 2007250
3 1996146
4 2007122
5 2004102
6 200560
7 200456
8 200552
9 200951
10 199237
11 200433
12 200830
13 200429
14
An evaluation of ontology exchange languages for bioinformatics.
200024
15 200217
16
BioPAX - Biological Pathways Exchange Language Level 2, Version 1.0 Documentation
200516
17 199210
18 20067
19 19993
20 20023

About Eric Neumann

Eric Neumann is a scholar working on Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience, Developmental Biology and Signal Processing, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers), Bioinformatics and Genomic Networks (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Neurobiology and Insect Physiology Research (2 papers), Genomics and Rare Diseases (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Science Education and Pedagogy (1 paper). The work is most often cited by research in Molecular Biology (1k citations), Information Systems and Management (101 citations), Artificial Intelligence (335 citations), Cellular and Molecular Neuroscience (108 citations) and Computational Theory and Mathematics (103 citations). Eric Neumann has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jeffrey C. Hall, Dennis Quan, Alexandre Afrânio Peixoto, Lee Ann Smith, Iván Herman, Susie M Stephens, Lee Feigenbaum, Tonya Hongsermeier, Bruce J. Aronow and Anil Goud Jegga. Their work appears in journals such as BMC Bioinformatics, OMICS A Journal of Integrative Biology, Biological Cybernetics, Journal of Insect Behavior and Journal of Web 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.

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