Luiz Chaimowicz

2.4k citations
106 papers · 1.4k · h-index 19

Impact in

Papers in

Luiz Chaimowicz

96 papers receiving 1.3k citations

Peers

Luiz Chaimowicz
Comparison fields: 5 of 91
  • Computer Networks and Communications 689
  • Computer Vision and Pattern Recognition 558
  • Mechanical Engineering 418
  • Artificial Intelligence 353
  • Aerospace Engineering 267
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Dylan A. Shell United States
Rui P. Rocha Portugal
Itsuki Noda Japan
Erann Gat United States
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Michaël Bonani Switzerland
Luís de la Torre Spain
Paul E. Rybski United States
Carlo Pinciroli Belgium
David W. Payton United States
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Citations per field
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Citations per year

Countries citing papers authored by Luiz Chaimowicz

Since Specialization
Citations

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

Fields of papers citing papers by Luiz Chaimowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 2008111
3 2007106
4 200296
5 201378
6 200670
7 200447
8 201647
9 200441
10 200338
11 201628
12 200427
13 200825
14 201124
15 201524
16 200921
17 201821
18 201220
19 202118
20 201418

About Luiz Chaimowicz

Luiz Chaimowicz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mechanical Engineering and Sociology and Political Science, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (33 papers), Robotic Path Planning Algorithms (30 papers), Modular Robots and Swarm Intelligence (30 papers), Distributed Control Multi-Agent Systems (25 papers), Digital Games and Media (22 papers), Robotics and Sensor-Based Localization (17 papers), Reinforcement Learning in Robotics (13 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Computer Networks and Communications (689 citations), Computer Vision and Pattern Recognition (558 citations), Mechanical Engineering (418 citations), Artificial Intelligence (353 citations) and Aerospace Engineering (267 citations). Luiz Chaimowicz has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Mário F. M. Campos, Vijay Kumar, M. Ani Hsieh, Vijay Kumar, Leandro Soriano Marcolino, Camillo J. Taylor, Thomas G. Sugar, V. Kumar, N. Michael and Vijay Kumar. Their work appears in journals such as Robotica, Sensors, Autonomous Robots, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.

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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