David Carmel

5.6k citations
114 papers · 4.0k · h-index 34

Impact in

    • Information Retrieval and Search Behavior
    • Web Data Mining and Analysis
    • Recommender Systems and Techniques
    • Data Management and Algorithms

Papers in

    • Information Retrieval and Search Behavior 39
    • Web Data Mining and Analysis 33
    • Expert finding and Q&A systems 12
    • Recommender Systems and Techniques 12
    • Topic Modeling 35
    • Semantic Web and Ontologies 14

David Carmel

109 papers receiving 3.7k citations

Peers

David Carmel
Comparison fields: 5 of 97
  • Information Systems 2.5k
  • Signal Processing 795
  • Artificial Intelligence 2.4k
  • Computer Networks and Communications 845
  • Management Science and Operations Research 436
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by David Carmel

Since Specialization
Citations

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

Fields of papers citing papers by David Carmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003319
2 2010236
3 2009190
4
Blocking blog spam with language model disagreement
2005178
5 2009168
6 2006163
7 2001154
8 2003149
9 2010131
10 2012120
11
Learning models of intelligent agents
199693
12 201178
13 201371
14 201667
15 200665
16 201065
17 201464
18 200961
19 200261
20
Incorporating opponent models into adversary search
199658

About David Carmel

David Carmel is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 114 papers that have together received 4.0k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (39 papers), Topic Modeling (35 papers), Web Data Mining and Analysis (33 papers), Data Management and Algorithms (19 papers), Advanced Database Systems and Queries (17 papers), Semantic Web and Ontologies (14 papers), Expert finding and Q&A systems (12 papers) and Recommender Systems and Techniques (12 papers). The work is most often cited by research in Information Systems (2.5k citations), Signal Processing (795 citations), Artificial Intelligence (2.4k citations), Computer Networks and Communications (845 citations) and Management Science and Operations Research (436 citations). David Carmel has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Aya Soffer, Elad Yom‐Tov, Shaul Markovitch, Oren Kurland, Ido Guy, Yoelle Maarek, Inbal Ronen, Naama Zwerdling, Anna Shtok and Michael Herscovici. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, Autonomous Agents and Multi-Agent Systems, Journal of Architectural Engineering and IBM Journal of Research and Development.

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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