D. Chawla
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Face Recognition and Perception
- Memory and Neural Mechanisms
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- Multisensory perception and integration
Papers in
-
- Neural dynamics and brain function 9
- Functional Brain Connectivity Studies 3
- Visual perception and processing mechanisms 3
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- Neurobiology and Insect Physiology Research 2
- Co-authors
- Karl Friston (9 shared papers)Geraint Rees (1 shared paper)Erik D. Lumer (3 shared papers)Christian Büchel (3 shared papers)Christian Buechel (2 shared papers)J. Phillips (1 shared paper)John Ashburner (1 shared paper)Oliver Josephs (1 shared paper)
- Journals
- Human Brain Mapping (2 papers)Neural Computation (2 papers)NeuroImage (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Neural Networks (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
D. Chawla
9 papers receiving 800 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 778
- Experimental and Cognitive Psychology 77
- Sensory Systems 19
- Cellular and Molecular Neuroscience 68
- Radiology, Nuclear Medicine and Imaging 62
Countries citing papers authored by D. Chawla
This map shows the geographic impact of D. Chawla'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 D. Chawla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Chawla more than expected).
Fields of papers citing papers by D. Chawla
This network shows the impact of papers produced by D. Chawla. 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 D. Chawla. The network helps show where D. Chawla may publish in the future.
Co-authors
The 9 scholars most cited alongside D. Chawla, 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 | 1999 | 439 | |
| 2 | 1999 | 108 | |
| 3 | 1998 | 66 | |
| 4 | 1999 | 52 | |
| 5 | 2000 | 50 | |
| 6 | 2000 | 37 | |
| 7 | 1999 | 34 | |
| 8 | 2001 | 33 | |
| 9 | 1999 | 2 |
About D. Chawla
D. Chawla is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics and Signal Processing, having authored 9 papers that have together received 821 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (3 papers), Neurobiology and Insect Physiology Research (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Blind Source Separation Techniques (2 papers), Neural Networks and Applications (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Cognitive Neuroscience (778 citations), Experimental and Cognitive Psychology (77 citations), Sensory Systems (19 citations), Cellular and Molecular Neuroscience (68 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). D. Chawla has collaborated with scholars based in United Kingdom. Frequent co-authors include Karl Friston, Geraint Rees, Erik D. Lumer, Christian Büchel, Christian Buechel, J. Phillips, John Ashburner, Oliver Josephs and A. Howseman. Their work appears in journals such as Human Brain Mapping, Neural Computation, NeuroImage, Philosophical Transactions of the Royal Society B Biological Sciences and Neural Networks.
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.