2026 Lav R. Varshney: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	32	12909	12529	5209	4968	363	7513

Lav R. Varshney publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lav R. Varshney sits on this spectrum.

32 publications 991+

This scientist: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lav R. Varshney D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lav R. Varshney sits on this spectrum.

30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Lav R. Varshney is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Management Science and Operations Research, and Cognitive Neuroscience.

The main topics of their work span a range of areas such as Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, COVID-19 epidemiological studies, Blockchain Technology Applications and Security, Machine Learning and Algorithms, and Error Correcting Code Techniques.

Recent publications by Varshney include the following:

"What governs attitudes toward artificial intelligence adoption and governance?", 2022, Science and Public Policy
"BERTology Meets Biology: Interpreting Attention in Protein Language Models", 2020, bioRxiv (Cold Spring Harbor Laboratory)
"COVID-19 Growth Rate Decreases with Social Capital", 2020, bioRxiv (Cold Spring Harbor Laboratory)
"Social capital dimensions are differentially associated with COVID-19 vaccinations, masks, and physical distancing", 2021, PLoS ONE
"The impact of COVID-19 lockdowns on mental health patient populations in the United States", 2024, Scientific Reports

Varshney collaborates frequently with several researchers, notably:

Ibtihal Ferwana
Haizi Yu
Sourya Basu
Anuj K. Nayak
Akhil Bhimaraju

Their work has been published in various academic venues, with multiple publications appearing in:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the AAAI Conference on Artificial Intelligence
SSRN Electronic Journal
IEEE Journal of Selected Topics in Signal Processing

Best Publications

Transporting information and energy simultaneously

L.R. Varshney

1978
Citations
Structural Properties of the Caenorhabditis elegans Neuronal Network

Lav R. Varshney;Beth L. Chen;Eric Paniagua;David H. Hall

1094
Citations
CTRL: A Conditional Transformer Language Model for Controllable Generation

Nitish Shirish Keskar;Bryan McCann;Lav R. Varshney;Caiming Xiong

1058
Citations
BERTology Meets Biology: Interpreting Attention in Protein Language Models

Jesse Vig;Ali Madani;Lav R. Varshney;Caiming Xiong

223
Citations
Performance of LDPC Codes Under Faulty Iterative Decoding

L. R. Varshney

146
Citations
Customer Referral Incentives and Social Media

Ilan Lobel;Evan Sadler;Lav R. Varshney

120
Citations
Optimal Information Storage in Noisy Synapses under Resource Constraints

Lav R Varshney;Lav R Varshney;Per Jesper Sjöström;Dmitri B B. Chklovskii

111
Citations
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Bruno Clerckx;Kaibin Huang;Lav Varshney;Sennur Ulukus

93
Citations
Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory

Aditya Vempaty;Lav R. Varshney;Pramod K. Varshney

84
Citations
A framework for Bayesian optimality of psychophysical laws

John Z. Sun;Grace I. Wang;Grace I. Wang;Vivek K Goyal;Lav R. Varshney;Lav R. Varshney

83
Citations
Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions

V. Misra;V. K. Goyal;L. R. Varshney

81
Citations
Noise-Enhanced Information Systems

Hao Chen;Lav R. Varshney;Pramod K. Varshney

80
Citations
Privacy and Reliability in Crowdsourcing Service Delivery

Lav R. Varshney

75
Citations
Cognition as a part of computational creativity

Lav R. Varshney;Florian Pinel;Kush R. Varshney;Angela Schorgendorfer

64
Citations
Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer

Anshoo Tandon;Mehul Motani;Lav R. Varshney

59
Citations
Quantization of Prior Probabilities for Hypothesis Testing

K.R. Varshney;L.R. Varshney

54
Citations
BERTology Meets Biology: Interpreting Attention in Protein Language Models

Jesse Vig;Ali Madani;Lav R. Varshney;Caiming Xiong

50
Citations
Models of dataset size, question design, and cross-language speech perception for speech crowdsourcing applications

Mark Allan Hasegawa-Johnson;Jennifer Cole;Preethi Jyothi;Lav R Varshney

49
Citations
On energy/information cross-layer architectures

Lav R. Varshney

46
Citations
An Algorithmic Framework for Estimating Rumor Sources With Different Start Times

Feng Ji;Wee Peng Tay

46
Citations
Distributed Storage Meets Secret Sharing on the Blockchain

Ravi Kiran Raman;Lav R. Varshney

44
Citations
A big data approach to computational creativity: The curious case of Chef Watson

Lav R. Varshney;Florian Pinel;Kush R. Varshney;Debarun Bhattacharjya

40
Citations
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Helena H. Lee;Ke Shu;Palakorn Achananuparp;Philips Kokoh Prasetyo

35
Citations
Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions

Vinith Misra;Vivek K. Goyal;Lav R. Varshney

6
Citations

Frequent Co-Authors

Vivek K. Goyal Boston University

Kush R. Varshney IBM (United States)

Mehul Motani National University of Singapore

Richard Socher you.com

Vincent Y. F. Tan National University of Singapore

Pramod K. Varshney Syracuse University

Caiming Xiong Salesforce (United States)

Sriram Vishwanath The University of Texas at Austin

Ee-Peng Lim Singapore Management University

Naresh R. Shanbhag University of Illinois at Urbana-Champaign

External Links

Personal website of Lav R. Varshney

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