Luiz Chaimowicz

2.4k citations
121 papers · 1.8k · h-index 22

Impact in

Papers in

Luiz Chaimowicz

107 papers receiving 1.7k citations

Peers

Luiz Chaimowicz
Comparison fields: 5 of 94
  • Computer Networks and Communications 897
  • Computer Vision and Pattern Recognition 743
  • Aerospace Engineering 393
  • Mechanical Engineering 537
  • Control and Systems Engineering 288
Replace Carlo Pinciroli with:
Carlo Pinciroli Belgium
Dylan A. Shell United States
Rui P. Rocha Portugal
David Portugal Portugal
Erann Gat United States
Paul E. Rybski United States
Manuele Brambilla Belgium
Zack Butler United States
Richard J. Duro Spain
Paolo Pirjanian United States
Luiz Chaimowicz relative to Carlo Pinciroli Belgium Carlo Pinciroli's profile →
Citations per field
00.5×1.5×1.9×
Carlo Pinciroli · 1×
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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003138
2 2008126
3 2007123
4 2002108
5 201387
6 200677
7 200864
8 200459
9 200559
10 201652
11 200450
12 200339
13 201632
14 200431
15 200829
16 201527
17 201027
18 201226
19 201126
20 201825

About Luiz Chaimowicz

Luiz Chaimowicz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering and Aerospace Engineering, having authored 121 papers that have together received 1.8k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (39 papers), Robotic Path Planning Algorithms (38 papers), Distributed Control Multi-Agent Systems (33 papers), Artificial Intelligence in Games (33 papers), Digital Games and Media (22 papers), Robotics and Sensor-Based Localization (21 papers), Reinforcement Learning in Robotics (15 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Computer Networks and Communications (897 citations), Computer Vision and Pattern Recognition (743 citations), Aerospace Engineering (393 citations), Mechanical Engineering (537 citations) and Control and Systems Engineering (288 citations). Luiz Chaimowicz has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Vijay Kumar, Mário F. M. Campos, M. Ani Hsieh, Vijay Kumar, Camillo J. Taylor, Leandro Soriano Marcolino, Vijay Kumar, V. Kumar, Thomas G. Sugar and N. Michael. Their work appears in journals such as Springer tracts in advanced robotics, Autonomous Robots, Robotica, Sensors and IEEE Robotics and Automation Letters.

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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