Manuel Lopes

73 papers receiving 4.0k citations

Hit Papers

Information-seeking, curiosity, and attention: computational and neural mechanisms 2013 · 400 citations
4000+4+8Years since publication100200300400

Peers

Manuel Lopes
Comparison fields: 5 of 156
  • Cognitive Neuroscience 1.2k
  • Genetics 479
  • Control and Systems Engineering 789
  • Human-Computer Interaction 176
  • Neurology 476
Replace Jun Morimoto with:
Jun Morimoto Japan
Michael Bach Germany
Paul Bentley United Kingdom
Feng Wan Macao
Dong Ming China
Charles Y. Liu United States
Clare Howarth United Kingdom
Robert B. Welch United States
Gordon Cheng Germany
Stefan Scherer United States
Manuel Lopes relative to Jun Morimoto Japan Jun Morimoto's profile →
Citations per field
00.5×4.3×
Jun Morimoto · 1×
Citations per year

Countries citing papers authored by Manuel Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002431
2 2003404
3
Information-seeking, curiosity, and attention: computational and neural mechanisms
Hit paper breakdown →
2013400
4 2010364
5 2008252
6 1999219
7 2016216
8 2000158
9 2006137
10 2002119
11 2003113
12 200889
13 201078
14 200774
15 200572
16 200671
17 201760
18 200951
19 201649
20 201745

About Manuel Lopes

Manuel Lopes is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience, Social Psychology and Electrical and Electronic Engineering, having authored 78 papers that have together received 4.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (18 papers), Reinforcement Learning in Robotics (13 papers), Glioma Diagnosis and Treatment (6 papers), AI-based Problem Solving and Planning (5 papers), Robotic Mechanisms and Dynamics (4 papers), Gaze Tracking and Assistive Technology (4 papers), Robotic Locomotion and Control (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Genetics (479 citations), Control and Systems Engineering (789 citations), Human-Computer Interaction (176 citations) and Neurology (476 citations). Manuel Lopes has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include José Santos-Victor, Jacqueline Gottlieb, Hugues Duffau, Pierre‐Yves Oudeyer, Laurent Capelle, Luis Montesano, J. P. Sichez, Alexandre Bernardino, Dominique Denvil and Ahmad Bitar. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Acta Obstetricia Et Gynecologica Scandinavica, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Scientific Reports.

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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