Niranjan Chakravarthy

481 citations
16 papers · 348 · h-index 8

Impact in

Papers in

Niranjan Chakravarthy

16 papers receiving 336 citations

Peers

Niranjan Chakravarthy
Comparison fields: 5 of 54
  • Cognitive Neuroscience 127
  • Cellular and Molecular Neuroscience 89
  • Neurology 29
  • Cardiology and Cardiovascular Medicine 42
  • Statistical and Nonlinear Physics 20
Replace R.W.M. Keunen with:
R.W.M. Keunen Netherlands
Yashar Sarbaz Iran
Dae C. Shin United States
Jennifer Simonotto United Kingdom
Christian Geier Germany
Dennis A. Dean United States
Henning Dickten Germany
Hyeyoung Shin United States
George Petkov Netherlands
Frigyes Sámuel Rácz Hungary
Niranjan Chakravarthy relative to R.W.M. Keunen Netherlands R.W.M. Keunen's profile →
Citations per field
00.5×3.4×
R.W.M. Keunen · 1×
Citations per year

Countries citing papers authored by Niranjan Chakravarthy

Since Specialization
Citations

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

Fields of papers citing papers by Niranjan Chakravarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Niranjan Chakravarthy, 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 Niranjan Chakravarthy Line = papers co-authored together Niranjan Chakravarthy links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200490
2 200757
3 200951
4 201250
5 200835
6 200826
7 201114
8 20149
9 20145
10 20104
11 20132
12 20071
13 20051
14 20101
15 19901
16 20201

About Niranjan Chakravarthy

Niranjan Chakravarthy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoreceptor and optogenetics research (2 papers), Genomics and Phylogenetic Studies (2 papers), Fractal and DNA sequence analysis (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Wireless Body Area Networks (2 papers). The work is most often cited by research in Cognitive Neuroscience (127 citations), Cellular and Molecular Neuroscience (89 citations), Neurology (29 citations), Cardiology and Cardiovascular Medicine (42 citations) and Statistical and Nonlinear Physics (20 citations). Niranjan Chakravarthy has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Leonidas Iasemidis, K. Tsakalis, Shivkumar Sabesan, Andreas Spanias, Imad Libbus, Rodolphe P. Katra, Inder S. Anand, W.H. Wilson Tang, Barry Greenberg and Pãnos M. Pardalos. Their work appears in journals such as Journal of Cardiac Failure, Journal of Combinatorial Optimization, International Journal of Neural Systems, Annals of Biomedical Engineering and Physics Letters A.

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