Aaron P. Batista

6.9k citations
58 papers · 4.5k indexed · 3 hit papers · h-index 27
Topics
EEG and Brain-Computer Interfaces (33 papers)Neural dynamics and brain function (31 papers)Neuroscience and Neural Engineering (21 papers)

In The Last Decade

Aaron P. Batista

55 papers receiving 4.4k citations

Hit Papers

Coding of intention in the posterior parietal cortex1997202620062016199719992014250500750

Peers

Aaron P. Batista
Comparison fields: 5 of 106
  • Cognitive Neuroscience 4.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Biomedical Engineering 586
  • Social Psychology 546
  • Electrical and Electronic Engineering 290
Replace Mark M. Churchland with:
Mark M. Churchland United States
Matthew T. Kaufman United States
Christopher A. Buneo United States
Stefano Ferraina Italy
Bijan Pesaran United States
Kae Nakamura Japan
Byron M. Yu United States
Driss Boussaoud France
Philip N. Sabes United States
Peter Praamstra Netherlands
Aaron P. Batista relative to Mark M. Churchland United States Mark M. Churchland's profile →
Citations per field
00.5×1.5×
Mark M. Churchland · 1×
Citations per year

Countries citing papers authored by Aaron P. Batista

Since Specialization
Citations

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

Fields of papers citing papers by Aaron P. Batista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron P. Batista. 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 Aaron P. Batista. The network helps show where Aaron P. Batista may publish in the future.

Co-authorship network of co-authors of Aaron P. Batista

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron P. Batista. A scholar is included among the top collaborators of Aaron P. Batista based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aaron P. Batista. Aaron P. Batista is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 19
4 3
5 4
6 0
7 7
8 7
9 104
10 61
11
Neural constraints on learningbreakdown →
399
12 25
13 34
14 124
15 114
16 6
17 20
18 5
19 270
20 2

About Aaron P. Batista

Aaron P. Batista is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental and Educational Psychology, having authored 58 papers that have together received 4.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (33 papers), Neural dynamics and brain function (31 papers) and Neuroscience and Neural Engineering (21 papers). The work is most often cited by research in Cognitive Neuroscience (4.3k citations), Cellular and Molecular Neuroscience (1.2k citations) and Neurology (274 citations). Aaron P. Batista has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Richard A. Andersen, Lawrence H. Snyder, Christopher A. Buneo, Byron M. Yu, Steven M. Chase, M. R. Jarvis, Elizabeth C. Tyler‐Kabara, Patrick T. Sadtler, Matthew D. Golub and Kristin M. Quick. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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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