Rajan Bhattacharyya
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 11
- Neural and Behavioral Psychology Studies 7
- Memory and Neural Mechanisms 6
- EEG and Brain-Computer Interfaces 6
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- Neuroscience and Neuropharmacology Research 4
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- Visual Attention and Saliency Detection 2
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- Decision-Making and Behavioral Economics 2
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- Robot Manipulation and Learning 2
- Co-authors
- Michael D. HowardRandall C. O’ReillyNicholas KetzRichard A. AndersenSam MusallamKarl ZillesAllen R. BraunKeith J. Jeffries
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neurophysiology (1 paper)Neuropsychologia (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Rajan Bhattacharyya
23 papers receiving 407 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 324
- Developmental and Educational Psychology 67
- Social Psychology 73
- Cellular and Molecular Neuroscience 63
- Experimental and Cognitive Psychology 44
Countries citing papers authored by Rajan Bhattacharyya
This map shows the geographic impact of Rajan Bhattacharyya'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 Rajan Bhattacharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajan Bhattacharyya more than expected).
Fields of papers citing papers by Rajan Bhattacharyya
This network shows the impact of papers produced by Rajan Bhattacharyya. 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 Rajan Bhattacharyya. The network helps show where Rajan Bhattacharyya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajan Bhattacharyya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2018 | 12 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 2 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 7 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 2 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 1 | |
| 14 | Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model. | 2013 | 3 |
| 15 | 2013 | 0 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 7 | |
| 18 | 2011 | 156 | |
| 19 | 2009 | 54 | |
| 20 | 2003 | 116 |
About Rajan Bhattacharyya
Rajan Bhattacharyya is a scholar working on Cognitive Neuroscience, General Decision Sciences and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 415 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neural and Behavioral Psychology Studies (7 papers), Memory and Neural Mechanisms (6 papers), EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Visual Attention and Saliency Detection (2 papers), Decision-Making and Behavioral Economics (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Cognitive Neuroscience (324 citations), Developmental and Educational Psychology (67 citations) and Social Psychology (73 citations). Rajan Bhattacharyya has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Michael D. Howard, Randall C. O’Reilly, Nicholas Ketz, Richard A. Andersen, Sam Musallam, Karl Zilles, Allen R. Braun, Keith J. Jeffries, Katrin Amunts and Barry Horwitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neurophysiology and Neuropsychologia.
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.