Ajit Kumar Sahoo
Impact in
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- Quality and Supply Management
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Advanced Adaptive Filtering Techniques 24
- Sparse and Compressive Sensing Techniques 10
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- Blind Source Separation Techniques 18
- Co-authors
- Upendra Kumar Sahoo (18 shared papers)Manoj Tiwari (2 shared papers)Ravi Shankar (1 shared paper)Debiprasad Priyabrata Acharya (7 shared papers)A R Mileham (1 shared paper)Manoj Kumar Tiwari (1 shared paper)Ming J. Zuo (1 shared paper)Mukesh Tiwari (1 shared paper)
- Journals
- Digital Signal Processing (4 papers)Signal Processing (3 papers)Measurement (2 papers)Aerospace Science and Technology (2 papers)IEEE Transactions on Industrial Informatics (1 paper)
- Partner nations
- IndiaCanadaUnited Kingdom
In The Last Decade
Ajit Kumar Sahoo
60 papers receiving 498 citations
Peers
Comparison fields: 5 of 78
- Management Information Systems 108
- Signal Processing 101
- Computational Mechanics 140
- Industrial and Manufacturing Engineering 58
- Strategy and Management 77
Countries citing papers authored by Ajit Kumar Sahoo
This map shows the geographic impact of Ajit Kumar Sahoo'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 Ajit Kumar Sahoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Kumar Sahoo more than expected).
Fields of papers citing papers by Ajit Kumar Sahoo
This network shows the impact of papers produced by Ajit Kumar Sahoo. 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 Ajit Kumar Sahoo. The network helps show where Ajit Kumar Sahoo may publish in the future.
Co-authors
The 23 scholars most cited alongside Ajit Kumar Sahoo, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 2007 | 52 | |
| 3 | 2021 | 27 | |
| 4 | 2012 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2021 | 6 |
About Ajit Kumar Sahoo
Ajit Kumar Sahoo is a scholar working on Computational Mechanics, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 68 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (24 papers), Blind Source Separation Techniques (18 papers), Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (10 papers), Control Systems and Identification (9 papers), Advanced SAR Imaging Techniques (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Radar Systems and Signal Processing (7 papers). The work is most often cited by research in Management Information Systems (108 citations), Signal Processing (101 citations), Computational Mechanics (140 citations), Industrial and Manufacturing Engineering (58 citations) and Strategy and Management (77 citations). Ajit Kumar Sahoo has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Upendra Kumar Sahoo, Manoj Tiwari, Ravi Shankar, Debiprasad Priyabrata Acharya, A R Mileham, Manoj Kumar Tiwari, Ming J. Zuo, Mukesh Tiwari, Ganapati Panda and Vinod Kumar. Their work appears in journals such as Digital Signal Processing, Signal Processing, Measurement, Aerospace Science and Technology and IEEE Transactions on Industrial Informatics.
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.