Kamalanand Krishnamurthy

775 total citations
51 papers, 390 citations indexed

About

Kamalanand Krishnamurthy is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Virology. According to data from OpenAlex, Kamalanand Krishnamurthy has authored 51 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 9 papers in Cognitive Neuroscience and 7 papers in Virology. Recurrent topics in Kamalanand Krishnamurthy's work include EEG and Brain-Computer Interfaces (8 papers), HIV Research and Treatment (7 papers) and Muscle activation and electromyography studies (7 papers). Kamalanand Krishnamurthy is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), HIV Research and Treatment (7 papers) and Muscle activation and electromyography studies (7 papers). Kamalanand Krishnamurthy collaborates with scholars based in India, United States and Australia. Kamalanand Krishnamurthy's co-authors include V. Rajinikanth, N. Sri Madhava Raja, P. Jawahar, Seifedine Kadry, Ramakrishnan Swaminathan, Ramesh Sunder Nayak, Fuqian Shi, João Manuel R. S. Tavares, Hong Lin and K. Karthik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Kamalanand Krishnamurthy

46 papers receiving 373 citations

Peers

Kamalanand Krishnamurthy
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 125
  • Neurology 90
  • Cognitive Neuroscience 89
  • Biomedical Engineering 85
  • Radiology, Nuclear Medicine and Imaging 75
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Citations per field, relative to Kamalanand Krishnamurthy
Kamalanand Krishnamurthy · 1×
Citations per year, relative to Kamalanand Krishnamurthy
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Countries citing papers authored by Kamalanand Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Kamalanand Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamalanand Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of Kamalanand Krishnamurthy. A scholar is included among the top collaborators of Kamalanand Krishnamurthy 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 Kamalanand Krishnamurthy. Kamalanand Krishnamurthy 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 6
6 4
7 8
8 1
9 46
10 31
11 1
12 16
13
Firefly Algorithm Assisted Segmentation of Tumor from Brain MRI using Tsallis Function and Markov Random Field
43
14 10
15 4
16 6
17
Convergence Analysis on Normal and Atherosclerotic Blood Vessel Finite Element Models
1
18 3
19 2
20 3

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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