Ashit Talukder
Impact in
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- Face and Expression Recognition
Papers in
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- Image and Object Detection Techniques 4
- Co-authors
- Anand Panangadan (15 shared papers)David Casasent (17 shared papers)Shen-Shyang Ho (4 shared papers)Robert J. Dengler (1 shared paper)Nuria Llombart (1 shared paper)Ken B. Cooper (1 shared paper)Peter H. Siegel (1 shared paper)Imran Mehdi (1 shared paper)
- Journals
- Journal of Applied Biomechanics (1 paper)Multimedia Tools and Applications (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)IEEE Sensors Journal (1 paper)Applied Artificial Intelligence (1 paper)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Ashit Talukder
43 papers receiving 399 citations
Peers
Comparison fields: 5 of 95
- Signal Processing 41
- Computer Vision and Pattern Recognition 74
- Biophysics 20
- Artificial Intelligence 103
- Analytical Chemistry 29
Countries citing papers authored by Ashit Talukder
This map shows the geographic impact of Ashit Talukder'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 Ashit Talukder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashit Talukder more than expected).
Fields of papers citing papers by Ashit Talukder
This network shows the impact of papers produced by Ashit Talukder. 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 Ashit Talukder. The network helps show where Ashit Talukder may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashit Talukder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 62 | |
| 2 | 2017 | 53 | |
| 3 | 2008 | 50 | |
| 4 | 1998 | 27 | |
| 5 | Markov decision processes for control of a sensor network-based health monitoring system | 2005 | 18 |
| 6 | 2001 | 13 | |
| 7 | 2017 | 13 | |
| 8 | 1998 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2008 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2005 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2008 | 8 | |
| 15 | 2005 | 8 | |
| 16 | 1999 | 8 | |
| 17 | 1998 | 7 | |
| 18 | 1998 | 6 | |
| 19 | 1999 | 6 | |
| 20 | 1996 | 6 |
About Ashit Talukder
Ashit Talukder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Networks and Communications and Atmospheric Science, having authored 44 papers that have together received 417 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (11 papers), Energy Efficient Wireless Sensor Networks (7 papers), Tropical and Extratropical Cyclones Research (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Image and Object Detection Techniques (4 papers), Image Processing Techniques and Applications (4 papers), Meteorological Phenomena and Simulations (4 papers) and Precipitation Measurement and Analysis (3 papers). The work is most often cited by research in Signal Processing (41 citations), Computer Vision and Pattern Recognition (74 citations), Biophysics (20 citations), Artificial Intelligence (103 citations) and Analytical Chemistry (29 citations). Ashit Talukder has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Anand Panangadan, David Casasent, Shen-Shyang Ho, Robert J. Dengler, Nuria Llombart, Ken B. Cooper, Peter H. Siegel, Imran Mehdi, Shabbir Bambot and Mark Faupel. Their work appears in journals such as Journal of Applied Biomechanics, Multimedia Tools and Applications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Sensors Journal and Applied Artificial Intelligence.
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.