Raghvendra Mall
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Immunology top 10%
- Information Systems top 2%
- Software top 2%
- Co-authors
- Johan A. K. SuykensHalima BensmailRocco LangoneThirumala‐Devi KannegantiKhalid KunjiSatchidananda DehuriR. K. Subbarao MalireddiReda Rawi
- Topics
- Software Testing and Debugging Techniques (20 papers)Software Engineering Research (17 papers)Software Reliability and Analysis Research (15 papers)
- Cited by
- SoftwareImmunologyMolecular Biology
- Partner nations
- IndiaQatarUnited States
In The Last Decade
Raghvendra Mall
112 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 1.0k
- Artificial Intelligence 432
- Immunology 364
- Information Systems 286
- Software 285
Countries citing papers authored by Raghvendra Mall
This map shows the geographic impact of Raghvendra Mall'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 Raghvendra Mall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghvendra Mall more than expected).
Fields of papers citing papers by Raghvendra Mall
This network shows the impact of papers produced by Raghvendra Mall. 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 Raghvendra Mall. The network helps show where Raghvendra Mall may publish in the future.
Co-authorship network of co-authors of Raghvendra Mall
This figure shows the co-authorship network connecting the top 25 collaborators of Raghvendra Mall. A scholar is included among the top collaborators of Raghvendra Mall 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 Raghvendra Mall. Raghvendra Mall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 45 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infectionbreakdown → | 209 |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 15 | |
| 15 | 50 | |
| 16 | 41 | |
| 17 | 13 | |
| 18 | 63 | |
| 19 | 14 | |
| 20 | Agglomerative hierarchical kernel spectral clustering for large scale networks | 1 |
About Raghvendra Mall
Raghvendra Mall is a scholar working on Software, Hardware and Architecture and Biophysics, having authored 120 papers that have together received 2.7k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (20 papers), Software Engineering Research (17 papers) and Software Reliability and Analysis Research (15 papers). The work is most often cited by research in Software (285 citations), Immunology (364 citations) and Molecular Biology (1.0k citations). Raghvendra Mall has collaborated with scholars based in India, Qatar and United States. Frequent co-authors include Johan A. K. Suykens, Halima Bensmail, Rocco Langone, Thirumala‐Devi Kanneganti, Khalid Kunji, Satchidananda Dehuri, R. K. Subbarao Malireddi, Reda Rawi, Rajendra Karki and Peter Vogel. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.
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.