Erez Karpas

940 total citations
60 papers, 620 citations indexed

About

Erez Karpas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erez Karpas has authored 60 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erez Karpas's work include AI-based Problem Solving and Planning (37 papers), Logic, Reasoning, and Knowledge (23 papers) and Robotic Path Planning Algorithms (18 papers). Erez Karpas is often cited by papers focused on AI-based Problem Solving and Planning (37 papers), Logic, Reasoning, and Knowledge (23 papers) and Robotic Path Planning Algorithms (18 papers). Erez Karpas collaborates with scholars based in Israel, United States and United Kingdom. Erez Karpas's co-authors include Carmel Domshlak, Avigdor Gal, Daniele Magazzeni, Brian Williams, Shaul Markovitch, Wheeler Ruml, Andrew Coles, Brian P. Williams, Solomon Eyal Shimony and Peng Yu and has published in prestigious journals such as Artificial Intelligence, Engineering Applications of Artificial Intelligence and Journal of Optimization Theory and Applications.

In The Last Decade

Erez Karpas

56 papers receiving 584 citations

Peers

Erez Karpas
Comparison fields: 5 of 48
  • Artificial Intelligence 513
  • Computer Networks and Communications 159
  • Computer Vision and Pattern Recognition 155
  • Control and Systems Engineering 72
  • Computational Theory and Mathematics 62
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Citations per field, relative to Erez Karpas
Erez Karpas · 1×
Citations per year, relative to Erez Karpas
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Countries citing papers authored by Erez Karpas

Since Specialization
Citations

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

Fields of papers citing papers by Erez Karpas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erez Karpas

This figure shows the co-authorship network connecting the top 25 collaborators of Erez Karpas. A scholar is included among the top collaborators of Erez Karpas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erez Karpas. Erez Karpas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 6
4 1
5 3
6 5
7 1
8 5
9 3
10
Position Paper: Reasoning About Domains with PDDL.
1
11 7
12 4
13
Privacy preserving plans in partially observable environments
31
14
Mixed discrete-continuous heuristic generative planning based on flow tubes
9
15 20
16 13
17 8
18 8
19
Cost-optimal planning with landmarks
99
20 3

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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