Lalan Kumar

672 citations
49 papers · 415 · h-index 11

Impact in

Papers in

Lalan Kumar

43 papers receiving 409 citations

Peers

Lalan Kumar
Comparison fields: 5 of 63
  • Signal Processing 218
  • Human-Computer Interaction 30
  • Cognitive Neuroscience 99
  • Computational Mechanics 67
  • Computer Graphics and Computer-Aided Design 10
Replace Hannes Gamper with:
Hannes Gamper United States
Jeongil Seo South Korea
Hüseyin Hacıhabiboğlu United Kingdom
Sebastian J. Schlecht Finland
Kyuwan Choi Japan
Matthias Frank Austria
Jürgen Peissig Germany
Franz Zotter Austria
Fabian Brinkmann Germany
Carl Schissler United States
Lalan Kumar relative to Hannes Gamper United States Hannes Gamper's profile →
Citations per field
00.5×3.2×
Hannes Gamper · 1×
Citations per year

Countries citing papers authored by Lalan Kumar

Since Specialization
Citations

This map shows the geographic impact of Lalan Kumar'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 Lalan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalan Kumar more than expected).

Fields of papers citing papers by Lalan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalan Kumar. 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 Lalan Kumar. The network helps show where Lalan Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Lalan Kumar, 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 Lalan Kumar Line = papers co-authored together Lalan Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 202239
3 201436
4 201427
5 201624
6 202317
7 202013
8 202013
9 202312
10 201312
11 202210
12 201410
13 20229
14 20229
15 20139
16 20189
17 20219
18 20218
19 20216
20 20196

About Lalan Kumar

Lalan Kumar is a scholar working on Signal Processing, Cognitive Neuroscience, Biomedical Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 49 papers that have together received 415 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), EEG and Brain-Computer Interfaces (15 papers), Direction-of-Arrival Estimation Techniques (10 papers), Neuroscience and Neural Engineering (6 papers), Muscle activation and electromyography studies (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Indoor and Outdoor Localization Technologies (5 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Signal Processing (218 citations), Human-Computer Interaction (30 citations), Cognitive Neuroscience (99 citations), Computational Mechanics (67 citations) and Computer Graphics and Computer-Aided Design (10 citations). Lalan Kumar has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Rajesh M. Hegde, Amita Giri, Tapan Kumar Gandhi, Ayush Tripathi, Sitikantha Roy, Prathosh AP, Guoan Bi, Sidharth Pancholi, Gary P. T. Choi and Arnab Kumar Mondal. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Signal Processing, Computers in Biology and Medicine, Biomedical Signal Processing and Control and Scientific Reports.

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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