A.B. Premkumar

2.1k citations
137 papers · 1.5k indexed · h-index 18

Impact in

Papers in

A.B. Premkumar

119 papers receiving 1.4k citations

Peers

A.B. Premkumar
Comparison fields: 5 of 66
  • Signal Processing 361
  • Information Systems 602
  • Artificial Intelligence 704
  • Computational Theory and Mathematics 246
  • Hardware and Architecture 82
Replace Xicheng Lu with:
Xicheng Lu China
Said Boussakta United Kingdom
S.D. Morgera Canada
Zhijie Shi United States
M.A. Soderstrand United States
Wai Ho Mow Hong Kong
Stefano Tomasin Italy
Roger Woods United Kingdom
Uwe Meyer‐Baese United States
Shuenn‐Shyang Wang Taiwan
A.B. Premkumar relative to Xicheng Lu China Xicheng Lu's profile →
Citations per field
00.5×3.3×
Xicheng Lu · 1×
Citations per year

Countries citing papers authored by A.B. Premkumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with A.B. Premkumar Line = papers co-authored together A.B. Premkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007236
2 2007181
3 200779
4 201264
5 199251
6 201247
7 201246
8 201143
9 199542
10 199842
11 200333
12 200032
13 200623
14 199921
15 201318
16 200218
17 201418
18 201117
19 201417
20 199815

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 137 papers that have together received 1.5k 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), Advanced Wireless Communication Techniques (17 papers), Digital Filter Design and Implementation (16 papers), Ultra-Wideband Communications Technology (16 papers) and Advanced Adaptive Filtering Techniques (15 papers). The work is most often cited by research in Signal Processing (361 citations), Information Systems (602 citations), Artificial Intelligence (704 citations), Computational Theory and Mathematics (246 citations) and Hardware and Architecture (82 citations). A.B. Premkumar has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Amos R. Omondi, A. S. Madhukumar, Xionghu Zhong, P. V. Ananda Mohan, G. V. Anand, A. P. Vinod, Chiew Tong Lau, Manish Bhardwaj, Edmund Lai and Thambipillai Srikanthan. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Communications Letters, Digital Signal Processing, IEEE Sensors Journal and Signal Processing.

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.

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