A.B. Premkumar
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Information Systems top 1%
- Cryptography and Residue Arithmetic
Papers in
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- Ultra-Wideband Communications Technology 17
- Advanced Wireless Communication Techniques 17
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- Speech and Audio Processing 31
- Digital Filter Design and Implementation 17
- Co-authors
- Amos R. Omondi (2 shared papers)A. S. Madhukumar (53 shared papers)Xionghu Zhong (18 shared papers)P. V. Ananda Mohan (2 shared papers)A. P. Vinod (9 shared papers)G. V. Anand (8 shared papers)Chiew Tong Lau (21 shared papers)Manish Bhardwaj (4 shared papers)
In The Last Decade
A.B. Premkumar
122 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 70
- Signal Processing 380
- Information Systems 644
- Artificial Intelligence 761
- Computational Theory and Mathematics 262
- Hardware and Architecture 90
Countries citing papers authored by A.B. Premkumar
This map shows the geographic impact of A.B. Premkumar'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 A.B. Premkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.B. Premkumar more than expected).
Fields of papers citing papers by A.B. Premkumar
This network shows the impact of papers produced by A.B. Premkumar. 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 A.B. Premkumar. The network helps show where A.B. Premkumar may publish in the future.
Co-authors
The 25 scholars most cited alongside A.B. Premkumar, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 254 | |
| 2 | 2007 | 203 | |
| 3 | 2007 | 81 | |
| 4 | 2012 | 67 | |
| 5 | 1992 | 54 | |
| 6 | 2012 | 48 | |
| 7 | 2012 | 48 | |
| 8 | 2011 | 45 | |
| 9 | 1998 | 44 | |
| 10 | 1995 | 43 | |
| 11 | 2000 | 34 | |
| 12 | 2003 | 33 | |
| 13 | 2006 | 26 | |
| 14 | 1999 | 21 | |
| 15 | 2002 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2011 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 1998 | 16 |
About A.B. Premkumar
A.B. Premkumar is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Oceanography, having authored 142 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (31 papers), Wireless Communication Networks Research (22 papers), Underwater Acoustics Research (19 papers), Cryptography and Residue Arithmetic (17 papers), Digital Filter Design and Implementation (17 papers), Ultra-Wideband Communications Technology (17 papers), Advanced Wireless Communication Techniques (17 papers) and Advanced Adaptive Filtering Techniques (16 papers). The work is most often cited by research in Signal Processing (380 citations), Information Systems (644 citations), Artificial Intelligence (761 citations), Computational Theory and Mathematics (262 citations) and Hardware and Architecture (90 citations). A.B. Premkumar has collaborated with scholars based in Singapore, India and China. Frequent co-authors include Amos R. Omondi, A. S. Madhukumar, Xionghu Zhong, P. V. Ananda Mohan, A. P. Vinod, G. V. Anand, Chiew Tong Lau, Manish Bhardwaj, Edmund Lai and Thambipillai Srikanthan. Their work appears in journals such as IEEE Transactions on Wireless Communications, Digital Signal Processing, IEEE Communications Letters, Signal Processing and IEEE Sensors Journal.
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.