Ramakrishna Hegde

692 total citations
40 papers, 522 citations indexed

About

Ramakrishna Hegde is a scholar working on Virology, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ramakrishna Hegde has authored 40 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ramakrishna Hegde's work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Network Security and Intrusion Detection (3 papers). Ramakrishna Hegde is often cited by papers focused on HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (5 papers) and Network Security and Intrusion Detection (3 papers). Ramakrishna Hegde collaborates with scholars based in United States, India and France. Ramakrishna Hegde's co-authors include B.S. Vijayaraman, Ranjan B. Kini, Shilpa Buch, Honghong Yao, Sirosh Bokhari, Opendra Narayan, Denise Potosky, Yahia Chebloune, Istvan Adany and Paul D. Cheney and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ramakrishna Hegde

35 papers receiving 489 citations

Peers

Ramakrishna Hegde
Comparison fields: 5 of 107
  • Virology 189
  • Molecular Biology 102
  • Immunology 91
  • Neurology 74
  • Marketing 67
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Citations per field, relative to Ramakrishna Hegde
Ramakrishna Hegde · 1×
Citations per year, relative to Ramakrishna Hegde
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Countries citing papers authored by Ramakrishna Hegde

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishna Hegde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishna Hegde

This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishna Hegde. A scholar is included among the top collaborators of Ramakrishna Hegde 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 Ramakrishna Hegde. Ramakrishna Hegde 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 0
2 5
3 0
4 7
5 0
6 2
7
ENGLISH TEXT TO INDIAN SIGN LANGUAGE TRANSLATION SYSTEM
3
8 31
9
Developing PMS tracker tool using oracle adf
1
10 7
11 59
12 8
13 73
14 6
15 11
16 25
17 15
18 21
19 34
20
Master’s of Science Programs in Information Systems: Match Between the Model Curriculum and Existing Programs
1

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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