2026 Aram Galstyan: 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	49	5778	5612	2627	2533	248	13816

Overview

Aram Galstyan is affiliated with the University of Southern California in the United States. Their research primarily engages with the field of Computer Science, encompassing 183 publications with a focus on multiple subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Statistics and Probability, and Statistical and Nonlinear Physics.

The scientist's work covers a diverse range of topics within these areas, including:

Topic Modeling
Natural Language Processing Techniques
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
Advanced Graph Neural Networks
Multimodal Machine Learning Applications
Speech and Dialogue Systems

Galstyan's recent papers reflect active involvement in several research directions. Notable publications include:

"A Survey on Bias and Fairness in Machine Learning" (2021), published in ACM Computing Surveys
"Stacking models for nearly optimal link prediction in complex networks" (2020), published in Proceedings of the National Academy of Sciences
"Identifying and Analyzing Cryptocurrency Manipulations in Social Media" (2021), published in IEEE Transactions on Computational Social Systems
"Partner-Assisted Learning for Few-Shot Image Classification" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"A survey of human judgement and quantitative forecasting methods" (2021), published in Royal Society Open Science

Frequent coauthors contributing to these research efforts include Greg Ver Steeg, Ninareh Mehrabi, Kai-Wei Chang, Fred Morstatter, and Jwala Dhamala. Collaboration with these researchers spans multiple projects and publications.

Publication venues where Galstyan frequently contributes comprise:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the International AAAI Conference on Web and Social Media
ACM Computing Surveys
Proceedings of the National Academy of Sciences

Best Publications

A Survey on Bias and Fairness in Machine Learning

Ninareh Mehrabi;Fred Morstatter;Nripsuta Saxena;Kristina Lerman

3674
Citations
Multitask learning and benchmarking with clinical time series data.

Hrayr Harutyunyan;Hrant Khachatrian;David C. Kale;Greg Ver Steeg

1201
Citations
The DARPA Twitter Bot Challenge

V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

397
Citations
The DARPA Twitter Bot Challenge

V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

395
Citations
A review of probabilistic macroscopic models for swarm robotic systems

Kristina Lerman;Alcherio Martinoli;Aram Galstyan

388
Citations
Distributed online localization in sensor networks using a moving target

Aram Galstyan;Bhaskar Krishnamachari;Kristina Lerman;Sundeep Pattem

378
Citations
Analysis of Dynamic Task Allocation in Multi-Robot Systems

Kristina Lerman;Chris Jones;Aram Galstyan;Maja J Mataríc

359
Citations
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Sami Abu-El-Haija;Bryan Perozzi;Amol Kapoor;Nazanin Alipourfard

297
Citations
Mathematical Model of Foraging in a Group of Robots: Effect of Interference

Kristina Lerman;Aram Galstyan

290
Citations
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks

Linhong Zhu;Dong Guo;Junming Yin;Greg Ver Steeg

279
Citations
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms

Wei-Min Shen;Peter Will;Aram Galstyan;Cheng-Ming Chuong

274
Citations
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Sami Abu-El-Haija;Bryan Perozzi;Amol Kapoor;Hrayr Harutyunyan

266
Citations
Information transfer in social media

Greg Ver Steeg;Aram Galstyan

257
Citations
Predicting Online Extremism, Content Adopters, and Interaction Reciprocity

Emilio Ferrara;Wen-Qiang Wang;Onur Varol;Alessandro Flammini

188
Citations
A macroscopic analytical model of collaboration in distributed robotic systems

Kristina Lerman;Aram Galstyan;Alcherio Martinoli;Auke Ijspeert

187
Citations
Efficient Estimation of Mutual Information for Strongly Dependent Variables

Shuyang Gao;Greg Ver Steeg;Aram Galstyan

182
Citations
Top-down vs bottom-up methodologies in multi-agent system design

Valentino Crespi;Aram Galstyan;Kristina Lerman

178
Citations
Resource Allocation in the Grid Using Reinforcement Learning

Aram Galstyan;Karl Czajkowski;Kristina Lerman

158
Citations
Analysis of social voting patterns on digg

Kristina Lerman;Aram Galstyan

157
Citations
Stacking models for nearly optimal link prediction in complex networks.

Amir Ghasemian;Amir Ghasemian;Amir Ghasemian;Homa Hosseinmardi;Aram Galstyan;Edoardo M. Airoldi

145
Citations
Invariant Representations without Adversarial Training

Daniel Moyer;Shuyang Gao;Rob Brekelmans;Aram Galstyan

112
Citations
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization.

Linhong Zhu;Greg Ver Steeg;Aram Galstyan

112
Citations

Frequent Co-Authors

Kristina Lerman University of Southern California

Emilio Ferrara University of Southern California

Nanyun Peng University of California, Los Angeles

Guillermo A. Cecchi IBM (United States)

Paul R. Cohen University of Pittsburgh

Irina Rish University of Montreal

Alexander G. Tartakovsky Moscow Institute of Physics and Technology

Ralph Weischedel University of Southern California

Paul M. Thompson University of Southern California

Alessandro Flammini Indiana University

External Links

Personal website of Aram Galstyan Google Scholar page

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