Sukanta Sabut

2.3k citations
71 papers · 1.6k indexed · h-index 22
Topics
EEG and Brain-Computer Interfaces (23 papers)Brain Tumor Detection and Classification (20 papers)Muscle activation and electromyography studies (18 papers)
Partner nations
IndiaSingaporeMalaysia

In The Last Decade

Sukanta Sabut

66 papers receiving 1.5k citations

Peers

Sukanta Sabut
Comparison fields: 5 of 109
  • Biomedical Engineering 563
  • Cardiology and Cardiovascular Medicine 546
  • Cognitive Neuroscience 507
  • Neurology 329
  • Rehabilitation 264
Replace Ramakrishnan Swaminathan with:
Ramakrishnan Swaminathan India
Iqram Hussain South Korea
Hanung Adi Nugroho Indonesia
Luay Fraiwan Jordan
Noman Naseer Pakistan
Mohiuddin Ahmad Bangladesh
Ahmet Alkan Türkiye
Bor-Shing Lin Taiwan
Syoji Kobashi Japan
Maheshkumar H. Kolekar India
Sukanta Sabut relative to Ramakrishnan Swaminathan India Ramakrishnan Swaminathan's profile →
Citations per field
00.5×7.1×
Ramakrishnan Swaminathan · 1×
Citations per year

Countries citing papers authored by Sukanta Sabut

Since Specialization
Citations

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

Fields of papers citing papers by Sukanta Sabut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukanta Sabut

This figure shows the co-authorship network connecting the top 25 collaborators of Sukanta Sabut. A scholar is included among the top collaborators of Sukanta Sabut based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sukanta Sabut. Sukanta Sabut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 0
5 8
6 36
7 35
8 42
9 48
10 3
11 41
12 8
13 133
14 27
15 18
16 2
17 25
18 11
19 11
20 51

About Sukanta Sabut

Sukanta Sabut is a scholar working on Neurology, Rehabilitation and Cognitive Neuroscience, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Brain Tumor Detection and Classification (20 papers) and Muscle activation and electromyography studies (18 papers). The work is most often cited by research in Neurology (329 citations), Rehabilitation (264 citations) and Cognitive Neuroscience (507 citations). Sukanta Sabut has collaborated with scholars based in India, Singapore and Malaysia. Frequent co-authors include Santanu Kumar Sahoo, Asit Kumar Subudhi, Manjunatha Mahadevappa, U. Rajendra Acharya, Soumya Surath Panda, Monalisa Mohanty, Ratnesh Kumar, Santosh Kumar Behera, Pradyut Kumar Biswal and Ramesh Chandra Mohanty. Their work appears in journals such as Measurement, Computers in Biology and Medicine and Disability and Rehabilitation.

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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