Priya Ranjan

144 papers receiving 3.2k citations

Priya Ranjan's Hit Papers

KBase: The United States Department of Energy Systems Biology Knowledgebase 2018 · 1.1k citations
1.1k0+2+5Years since publication2505007501000

Peers

Priya Ranjan
Comparison fields: 5 of 183
  • Computer Networks and Communications 460
  • Statistical and Nonlinear Physics 215
  • Molecular Biology 1.1k
  • Ecology 359
  • Immunology 259
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Georgios A. Pavlopoulos Greece
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Priya Ranjan relative to Preetam Ghosh United States Preetam Ghosh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Priya Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Priya Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
KBase: The United States Department of Energy Systems Biology Knowledgebase
Hit paper breakdown →
20181075
2 2000266
3 2015194
4 2017130
5 200695
6 200090
7 201383
8 200475
9 201162
10 201059
11 200353
12 201248
13 200645
14 202345
15 202042
16 201538
17 201738
18 200932
19 201230
20 202129

About Priya Ranjan

Priya Ranjan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 157 papers that have together received 3.3k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (17 papers), AI in cancer detection (11 papers), Advanced Wireless Network Optimization (10 papers), Influenza Virus Research Studies (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), COVID-19 diagnosis using AI (9 papers), EEG and Brain-Computer Interfaces (8 papers) and IoT-based Smart Home Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (460 citations), Statistical and Nonlinear Physics (215 citations), Molecular Biology (1.1k citations), Ecology (359 citations) and Immunology (259 citations). Priya Ranjan has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Soumitro Banerjee, Celso Grebogi, Richard J. La, Eyad H. Abed, Ajit Sodhi, Malay Ranjan Tripathy, Rajiv Janardhanan, Suryaprakash R. Sambhara, Nicholas H. Heintz and Sunil Kumar. Their work appears in journals such as Neural Computing and Applications, PLoS ONE, IEEE/ACM Transactions on Networking, Journal of Virology and The Journal of Immunology.

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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