Raghvendra Mall

4.7k citations
120 papers · 2.7k indexed · 3 hit papers · h-index 28

Raghvendra Mall

112 papers receiving 2.6k citations

Hit Papers

NLRC5 senses NAD+ depletion, forming a PANo...96202220262023202450100150200

Peers

Raghvendra Mall
Comparison fields: 5 of 173
  • Software 285
  • Immunology 364
  • Molecular Biology 1.0k
  • Artificial Intelligence 432
  • Information Systems 286
Replace Satwinder Singh with:
Satwinder Singh India
Long Lu United States
Felix Agakov United Kingdom
Stephan Winkler Austria
Mark Craven United States
Pietro Hiram Guzzi Italy
Claus A. Andersen Denmark
Yanjun Qi United States
David F. Anderson United States
Raghvendra Mall relative to Satwinder Singh India Satwinder Singh's profile →
Citations per field
00.5×10×20×27×
Satwinder Singh · 1×
Citations per year

Countries citing papers authored by Raghvendra Mall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20240
3 202445
4 20241
5 20237
6 20227
7 20227
8
ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infectionbreakdown →
2022209
9 202221
10 20219
11 202124
12 20216
13 202121
14 202015
15 202050
16 202041
17 201913
18 201963
19 201814
20
Agglomerative hierarchical kernel spectral clustering for large scale networks
20141

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), Software Reliability and Analysis Research (15 papers), Advanced Clustering Algorithms Research (11 papers), Inflammasome and immune disorders (11 papers), Complex Network Analysis Techniques (9 papers), Machine Learning in Bioinformatics (8 papers) and Face and Expression Recognition (8 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 Journal of Translational Medicine, Bioinformatics, Scientific Reports, Information and Software Technology 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.

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2026