Ashit Talukder
Impact in
- Biophysics top 10%
Papers in
-
- Industrial Vision Systems and Defect Detection 11
-
- Image and Object Detection Techniques 4
- Co-authors
- Anand PanangadanDavid CasasentShen-Shyang HoKen B. CooperRobert J. DenglerPeter H. SiegelNuria LlombartImran Mehdi
- Journals
- Journal of Applied Biomechanics (1 paper)IEEE Sensors Journal (1 paper)Neural Networks (1 paper)Applied Artificial Intelligence (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Ashit Talukder
43 papers receiving 396 citations
Peers
Comparison fields: 5 of 97
- Biophysics 24
- Signal Processing 41
- Computer Vision and Pattern Recognition 75
- Analytical Chemistry 33
- Artificial Intelligence 102
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 13 | |
| 2 | 2017 | 51 | |
| 3 | 2012 | 5 | |
| 4 | 2009 | 5 | |
| 5 | 2009 | 3 | |
| 6 | 2009 | 3 | |
| 7 | 2008 | 11 | |
| 8 | Markov decision processes for control of a sensor network-based health monitoring system | 2005 | 18 |
| 9 | 2005 | 9 | |
| 10 | 2005 | 8 | |
| 11 | 2001 | 13 | |
| 12 | 2000 | 1 | |
| 13 | 1999 | 5 | |
| 14 | 1999 | 2 | |
| 15 | 1999 | 3 | |
| 16 | 1999 | 8 | |
| 17 | 1998 | 6 | |
| 18 | 1998 | 1 | |
| 19 | 1998 | 1 | |
| 20 | 1998 | 7 |
About Ashit Talukder
Ashit Talukder is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Analytical Chemistry, Media Technology and Computer Networks and Communications, having authored 44 papers that have together received 414 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), Meteorological Phenomena and Simulations (4 papers), Image Processing Techniques and Applications (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Biophysics (24 citations), Signal Processing (41 citations), Computer Vision and Pattern Recognition (75 citations), Analytical Chemistry (33 citations) and Artificial Intelligence (102 citations). Ashit Talukder has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Anand Panangadan, David Casasent, Shen-Shyang Ho, Ken B. Cooper, Robert J. Dengler, Peter H. Siegel, Nuria Llombart, Imran Mehdi, Mark Faupel and Syed Muhammad Ali. Their work appears in journals such as Journal of Applied Biomechanics, IEEE Sensors Journal, Neural Networks, Applied Artificial Intelligence and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.