Michael Katz

1.8k citations
81 papers · 1.2k · h-index 19

Impact in

Papers in

Michael Katz

75 papers receiving 1.1k citations

Peers

Michael Katz
Comparison fields: 5 of 102
  • Artificial Intelligence 687
  • Software 75
  • Computer Networks and Communications 420
  • Computational Theory and Mathematics 128
  • Ceramics and Composites 41
Replace Yuan Feng with:
Yuan Feng China
Yuqing Lin Australia
Robert Balzer United States
Jing Tao China
Scott Nettles United States
Samuel H. Fuller United States
Saurabh Srivastava India
Guiling Wang China
Laurent Doyen France
Herbert Kuchen Germany
Michael Katz relative to Yuan Feng China Yuan Feng's profile →
Citations per field
00.5×4.8×
Yuan Feng · 1×
Citations per year

Countries citing papers authored by Michael Katz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004101
2 201058
3 201556
4 198855
5 195654
6 200551
7
Optimal additive composition of abstraction-based admissible heuristics
200843
8 200642
9 201642
10 201037
11 201235
12 201834
13 201532
14 201932
15 200830
16 200828
17 201822
18 201319
19 200619
20 199118

About Michael Katz

Michael Katz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics and Software, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (50 papers), Constraint Satisfaction and Optimization (26 papers), Logic, Reasoning, and Knowledge (24 papers), Wireless Communication Security Techniques (10 papers), Cooperative Communication and Network Coding (9 papers), Machine Learning and Algorithms (9 papers), Formal Methods in Verification (6 papers) and Model-Driven Software Engineering Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (687 citations), Software (75 citations), Computer Networks and Communications (420 citations), Computational Theory and Mathematics (128 citations) and Ceramics and Composites (41 citations). Michael Katz has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Carmel Domshlak, Shlomo Shamai, Shirin Sohrabi, Octavian Udrea, Jörg Hoffmann, Martin Wehrle, Malte Helmert, Dan Cassel, Miriam Rotman and Edward J. Cragoe. Their work appears in journals such as IEEE Transactions on Information Theory, Artificial Intelligence, Optics Letters, Journal of Artificial Intelligence Research and Journal of the European Ceramic Society.

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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