Michael Lebowitz

2.8k citations
70 papers · 1.9k · h-index 25

Impact in

Papers in

    • Topic Modeling 12
    • Natural Language Processing Techniques 10
    • Semantic Web and Ontologies 7
    • AI-based Problem Solving and Planning 7
    • Speech and dialogue systems 7
    • AI in Service Interactions 5
    • Epigenetics and DNA Methylation 5

Michael Lebowitz

65 papers receiving 1.7k citations

Peers

Michael Lebowitz
Comparison fields: 5 of 151
  • Artificial Intelligence 900
  • Developmental and Educational Psychology 147
  • Immunology 226
  • General Decision Sciences 18
  • History and Philosophy of Science 39
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Citations per field
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Citations per year

Countries citing papers authored by Michael Lebowitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lebowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987165
2 1983137
3
Generalization and memory in an integrated understanding system
1980131
4 1999110
5 1987106
6 198597
7 199892
8 198684
9 198859
10 198458
11 198454
12 198051
13 198349
14 199943
15 199142
16 199338
17 198338
18 199637
19 199737
20 201736

About Michael Lebowitz

Michael Lebowitz is a scholar working on Artificial Intelligence, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers), Semantic Web and Ontologies (7 papers), AI-based Problem Solving and Planning (7 papers), Speech and dialogue systems (7 papers), Cancer Research and Treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and AI in Service Interactions (5 papers). The work is most often cited by research in Artificial Intelligence (900 citations), Developmental and Educational Psychology (147 citations), Immunology (226 citations), General Decision Sciences (18 citations) and History and Philosophy of Science (39 citations). Michael Lebowitz has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Peter L. Pedersen, Jonathan P. Schneck, Roger C. Schank, Hossein Ghanbari, Sean M. O’Herrin, Joan Glick Bieler, Didier Marguet, Lawrence Birnbaum, Zhi-Gang Jiang and Elias T. Spiliotis. Their work appears in journals such as Cognitive Science, Journal for ImmunoTherapy of Cancer, Archives of Biochemistry and Biophysics, Behavioral and Brain Sciences and Poetics.

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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