Jorge Cham

30 papers receiving 1.3k citations

Peers

Jorge Cham
Comparison fields: 5 of 102
  • Biomedical Engineering 803
  • Cognitive Neuroscience 262
  • Cellular and Molecular Neuroscience 226
  • Aerospace Engineering 272
  • Control and Systems Engineering 247
Replace Qing Shi with:
Qing Shi China
Tony Pipe United Kingdom
Domenico Campolo Singapore
David C. Yates United Kingdom
Poramate Manoonpong Denmark
Stéphane Viollet France
Sarah Bergbreiter United States
Erik D. Engeberg United States
S. Lafontaine United States
Andrew T. Conn United Kingdom
Jorge Cham relative to Qing Shi China Qing Shi's profile →
Citations per field
00.5×1.7×
Qing Shi · 1×
Citations per year

Countries citing papers authored by Jorge Cham

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002228
2 2002218
3 2002139
4 2004114
5 2006102
6 2004100
7 200484
8 200074
9 200543
10 200733
11 199929
12 200025
13 200722
14 200621
15 200521
16 200518
17 200517
18 200415
19 200912
20 200610

About Jorge Cham

Jorge Cham is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Aerospace Engineering and Mechanical Engineering, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (10 papers), Robotic Locomotion and Control (9 papers), Biomimetic flight and propulsion mechanisms (7 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers), Modular Robots and Swarm Intelligence (3 papers) and Spatial Cognition and Navigation (2 papers). The work is most often cited by research in Biomedical Engineering (803 citations), Cognitive Neuroscience (262 citations), Cellular and Molecular Neuroscience (226 citations), Aerospace Engineering (272 citations) and Control and Systems Engineering (247 citations). Jorge Cham has collaborated with scholars based in United States, Russia and Bulgaria. Frequent co-authors include Mark R. Cutkosky, Robert J. Full, Jonathan E. Clark, Sean A. Bailey, Maria C. Yang, Joel W. Burdick, Sam Musallam, Richard A. Andersen, Bijan Pesaran and RA Andersen. Their work appears in journals such as The International Journal of Robotics Research, Journal of Dynamic Systems Measurement and Control, Springer tracts in advanced robotics, Trends in Cognitive Sciences and Lecture notes in control and information sciences.

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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