Robert E. Mercer

1.4k citations
112 papers · 945 · h-index 16

Impact in

    • Topic Modeling
    • Logic, Reasoning, and Knowledge
    • Advanced Text Analysis Techniques
    • Domain Adaptation and Few-Shot Learning
    • Semantic Web and Ontologies
    • Natural Language Processing Techniques
    • Spam and Phishing Detection

Papers in

    • Topic Modeling 42
    • Natural Language Processing Techniques 32
    • Advanced Text Analysis Techniques 21
    • Logic, Reasoning, and Knowledge 17
    • Semantic Web and Ontologies 13
    • Text and Document Classification Technologies 9
    • Multi-Agent Systems and Negotiation 7
    • Biomedical Text Mining and Ontologies 27

Robert E. Mercer

102 papers receiving 858 citations

Peers

Robert E. Mercer
Comparison fields: 5 of 92
  • Artificial Intelligence 719
  • Information Systems 156
  • Statistics, Probability and Uncertainty 43
  • Computer Vision and Pattern Recognition 130
  • Signal Processing 37
Replace Minbyul Jeong with:
Minbyul Jeong South Korea
Andreas Wichert Portugal
Eric Neufeld Canada
Margareta Ackerman United States
Claire Gardent France
Rebecca Hwa United States
Xian-Ling Mao China
Pei Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert E. Mercer

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Mercer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Mercer. 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 Robert E. Mercer. The network helps show where Robert E. Mercer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 198577
3 200077
4 201357
5 199652
6
Selective transfer of neural network task knowledge
200030
7 200229
8
A Design Methodology for a Biomedical Literature Indexing Tool Using the Rhetoric of Science
200422
9 200522
10 201520
11 201920
12 201918
13 201417
14 200216
15 200616
16 200416
17 201415
18 201714
19 201713
20
Method Mention Extraction from Scientific Research Papers
201212

About Robert E. Mercer

Robert E. Mercer is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Sociology and Political Science, having authored 112 papers that have together received 945 indexed citations. Recurring topics across this work include Topic Modeling (42 papers), Natural Language Processing Techniques (32 papers), Biomedical Text Mining and Ontologies (27 papers), Advanced Text Analysis Techniques (21 papers), Logic, Reasoning, and Knowledge (17 papers), Semantic Web and Ontologies (13 papers), Text and Document Classification Technologies (9 papers) and Multi-Agent Systems and Negotiation (7 papers). The work is most often cited by research in Artificial Intelligence (719 citations), Information Systems (156 citations), Statistics, Probability and Uncertainty (43 citations), Computer Vision and Pattern Recognition (130 citations) and Signal Processing (37 citations). Robert E. Mercer has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Daniel Silver, David W. Etherington, Chrysanne Di Marco, Raymond Reiter, Lu Xiao, Frederick Kroon, John A. Barron, Paul Joe, Peter K. Rogan and Torsten Schaub. Their work appears in journals such as Lecture notes in computer science, International Journal of Imaging Systems and Technology, Language Resources and Evaluation, Journal of Biomedical Semantics and Journal of Logic and Computation.

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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