Raphen Becker

877 citations
14 papers · 667 · h-index 10

Impact in

Papers in

Raphen Becker

14 papers receiving 602 citations

Peers

Raphen Becker
Comparison fields: 5 of 65
  • Management Science and Operations Research 208
  • Artificial Intelligence 448
  • Computer Networks and Communications 231
  • Management Information Systems 33
  • Computer Vision and Pattern Recognition 65
Replace Sherif Barakat with:
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Raphen Becker relative to Sherif Barakat Egypt Sherif Barakat's profile →
Citations per field
00.5×5×10×15×20×24×
Sherif Barakat · 1×
Citations per year

Countries citing papers authored by Raphen Becker

Since Specialization
Citations

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

Fields of papers citing papers by Raphen Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Raphen Becker, 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 Raphen Becker Line = papers co-authored together Raphen Becker links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004166
2 2001116
3 200494
4 200390
5 200458
6 200944
7 196428
8 200321
9 200619
10 200614
11
Exploiting structure in decentralized markov decision processes
20066
12 20075
13 20035
14
Distributed Sensor Network for Real Time Tracking TITLE2
20001

About Raphen Becker

Raphen Becker is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Management Information Systems and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 667 indexed citations. Recurring topics across this work include Game Theory and Applications (7 papers), Auction Theory and Applications (7 papers), Logic, Reasoning, and Knowledge (3 papers), Multi-Agent Systems and Negotiation (3 papers), Supply Chain and Inventory Management (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Management Science and Operations Research (208 citations), Artificial Intelligence (448 citations), Computer Networks and Communications (231 citations), Management Information Systems (33 citations) and Computer Vision and Pattern Recognition (65 citations). Raphen Becker has collaborated with scholars based in United States. Frequent co-authors include Victor Lesser, Shlomo Zilberstein, Claudia V. Goldman, Jiaying Shen, Bryan Horling, Roger Mailler, Régis Vincent, B. M. Honigberg, Daniel D. Corkill and Robert Balzer. Their work appears in journals such as Journal of Artificial Intelligence Research, Computational Intelligence, The Journal of Protozoology, IEEE/WIC/ACM International Conference on Intelligent Agent Technology and NASA Technical Reports Server (NASA).

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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