Lalan Kumar

746 citations
58 papers · 459 · h-index 11

Impact in

Papers in

Lalan Kumar

44 papers receiving 450 citations

Peers

Lalan Kumar
Comparison fields: 5 of 64
  • Signal Processing 227
  • Cognitive Neuroscience 109
  • Human-Computer Interaction 34
  • Computer Graphics and Computer-Aided Design 15
  • Computational Mechanics 76
Replace Enzo De Sena with:
Enzo De Sena United Kingdom
Hüseyin Hacıhabiboğlu United Kingdom
Jeongil Seo South Korea
Takanobu Nishiura Japan
Sebastian J. Schlecht Finland
Paul T. Calamia United States
Carl Schissler United States
Sebastià V. Amengual Garí United States
Franz Zotter Austria
Fabian Brinkmann Germany
Lalan Kumar relative to Enzo De Sena United Kingdom Enzo De Sena's profile →
Citations per field
00.5×1.5×2×2.5×
Enzo De Sena · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 202247
3 201439
4 201626
5 201426
6 202319
7 202018
8 202015
9 202314
10 201312
11 202211
12 202211
13 201410
14 201310
15 202110
16 20189
17 20219
18 20229
19 20219
20 20196

About Lalan Kumar

Lalan Kumar is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Mechanics and Human-Computer Interaction, having authored 58 papers that have together received 459 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), EEG and Brain-Computer Interfaces (17 papers), Direction-of-Arrival Estimation Techniques (10 papers), Advanced Adaptive Filtering Techniques (6 papers), Muscle activation and electromyography studies (6 papers), Blind Source Separation Techniques (5 papers), Neuroscience and Neural Engineering (5 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Signal Processing (227 citations), Cognitive Neuroscience (109 citations), Human-Computer Interaction (34 citations), Computer Graphics and Computer-Aided Design (15 citations) and Computational Mechanics (76 citations). Lalan Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Rajesh Mahanand Hegde, Amita Giri, Anant V. Jain, Tapan Kumar Gandhi, Ayush Tripathi, Prathosh AP, Sitikantha Roy, Sidharth Pancholi, Guoan Bi and Gary P. T. Choi. 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 The Journal of the Acoustical Society of America.

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.

Explore authors with similar magnitude of impact