Varun Krishna

9.9k citations
5 papers · 14 · h-index 2

Impact in

Papers in

Journals
Indian Journal of Science and Technology (1 paper)Sadhana (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
Partner nations
India

In The Last Decade

Varun Krishna

3 papers receiving 11 citations

Peers

Varun Krishna
Comparison fields: 5 of 20
  • Water Science and Technology 4
  • Geography, Planning and Development 1
  • Geochemistry and Petrology 1
  • Information Systems and Management 1
  • Plant Science 5
Replace Irina Allenova with:
Irina Allenova Uzbekistan
Fei Hao China
Margarita Jaramillo Zapata Colombia
S. Kaur
W. S. Ahmed China
Snehalata Dongre India
C. P. Cheng China
Marlène Lefebvre France
Muhammad Salman China
Pezhman Safdari Finland
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Citations per field
00.5×
Irina Allenova · 1×
Citations per year

Countries citing papers authored by Varun Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Varun Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Varun Krishna, 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 Varun Krishna Line = papers co-authored together Varun Krishna links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20169
2 20144
3 20221
4 20230
5 20150

About Varun Krishna

Varun Krishna is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 5 papers that have together received 14 indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Bioinformatics and Genomic Networks (1 paper), IoT-based Smart Home Systems (1 paper), Advanced Database Systems and Queries (1 paper), Complex Network Analysis Techniques (1 paper), Data Visualization and Analytics (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Water Science and Technology (4 citations), Geography, Planning and Development (1 citation), Geochemistry and Petrology (1 citation), Information Systems and Management (1 citation) and Plant Science (5 citations). Varun Krishna has collaborated with scholars based in India. Frequent co-authors include Niranjan Suri and Sriram Ganapathy. Their work appears in journals such as Indian Journal of Science and Technology, Sadhana, IEEE/ACM Transactions on Audio Speech and Language Processing and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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