Raju S. Bapi

2.0k citations
109 papers · 1.4k · h-index 18

Impact in

Papers in

    • Neural dynamics and brain function 19
    • Functional Brain Connectivity Studies 17
    • EEG and Brain-Computer Interfaces 15
    • Neuroscience and Music Perception 8
    • Motor Control and Adaptation 8
    • Neural Networks and Applications 14
    • Imbalanced Data Classification Techniques 8

Raju S. Bapi

104 papers receiving 1.3k citations

Peers

Raju S. Bapi
Comparison fields: 5 of 144
  • Cognitive Neuroscience 697
  • Developmental and Educational Psychology 137
  • Artificial Intelligence 287
  • Health Informatics 11
  • Social Psychology 161
Replace Francisco Pereira with:
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Jeffrey S. Grethe United States
Zdeněk Smékal Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Raju S. Bapi

Since Specialization
Citations

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

Fields of papers citing papers by Raju S. Bapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raju S. Bapi. 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 Raju S. Bapi. The network helps show where Raju S. Bapi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 2000151
3 200687
4 201977
5 200771
6 201761
7 200749
8 201832
9 201132
10 200929
11 200825
12 201820
13 202120
14 200719
15
Investigation of sequence processing: A cognitive and computational neuroscience perspective
200518
16 200718
17 200618
18
Neural representation of an alphasyllabary - the story of Devanagari
200917
19 201617
20 201616

About Raju S. Bapi

Raju S. Bapi is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (17 papers), EEG and Brain-Computer Interfaces (15 papers), Neural Networks and Applications (14 papers), Imbalanced Data Classification Techniques (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Neuroscience and Music Perception (8 papers) and Motor Control and Adaptation (8 papers). The work is most often cited by research in Cognitive Neuroscience (697 citations), Developmental and Educational Psychology (137 citations), Artificial Intelligence (287 citations), Health Informatics (11 citations) and Social Psychology (161 citations). Raju S. Bapi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kenji Doya, P. Radha Krishna, V. Srinivasa Chakravarthy, Denny Joseph, Krishna Prasad Miyapuram, P. K. Vinod, Pradeep Kumar, Anuj Shukla, Supriya Kumar De and Gustavo Deco. Their work appears in journals such as Scientific Reports, Frontiers in Human Neuroscience, NeuroImage, Reading and Writing and Biological Cybernetics.

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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