S. P. Arun
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms 25
- Neural dynamics and brain function 18
- Face Recognition and Perception 17
- Tactile and Sensory Interactions 6
- Neural and Behavioral Psychology Studies 6
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- Multisensory perception and integration 4
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- Visual Attention and Saliency Detection 7
- Advanced Neural Network Applications 3
- Co-authors
- Sliman J. Bensmaı̈aR. T. PramodKenneth O. JohnsonCarl R. OlsonHarish KattiN. Apurva Ratan MurtySung Soo KimTakashi Yoshioka
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
S. P. Arun
49 papers receiving 751 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 614
- Experimental and Cognitive Psychology 98
- Computer Vision and Pattern Recognition 149
- Cellular and Molecular Neuroscience 110
- Human-Computer Interaction 19
Countries citing papers authored by S. P. Arun
This map shows the geographic impact of S. P. Arun'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 S. P. Arun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. P. Arun more than expected).
Fields of papers citing papers by S. P. Arun
This network shows the impact of papers produced by S. P. Arun. 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 S. P. Arun. The network helps show where S. P. Arun may publish in the future.
Co-authorship network
The 24 scholars most cited alongside S. P. Arun, 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 | 2022 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 60 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 11 | |
| 11 | Object detection can be improved using human-derived contextual expectations | 2016 | 1 |
| 12 | 2016 | 4 | |
| 13 | 2014 | 16 | |
| 14 | 2013 | 19 | |
| 15 | 2012 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2010 | 24 | |
| 18 | 2010 | 26 | |
| 19 | 2006 | 67 | |
| 20 | 2006 | 91 |
About S. P. Arun
S. P. Arun is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Developmental Biology, having authored 50 papers that have together received 762 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (25 papers), Neural dynamics and brain function (18 papers), Face Recognition and Perception (17 papers), Visual Attention and Saliency Detection (7 papers), Tactile and Sensory Interactions (6 papers), Neural and Behavioral Psychology Studies (6 papers), Multisensory perception and integration (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (614 citations), Experimental and Cognitive Psychology (98 citations) and Computer Vision and Pattern Recognition (149 citations). S. P. Arun has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Sliman J. Bensmaı̈a, R. T. Pramod, Kenneth O. Johnson, Carl R. Olson, Harish Katti, N. Apurva Ratan Murty, Sung Soo Kim, Takashi Yoshioka, Steven S. Hsiao and Kirtimaan A. Mohan.
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.