Greg Ver Steeg

3.2k total citations
75 papers, 1.1k citations indexed

About

Greg Ver Steeg is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Greg Ver Steeg has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 21 papers in Statistical and Nonlinear Physics and 12 papers in Molecular Biology. Recurrent topics in Greg Ver Steeg's work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and Topic Modeling (10 papers). Greg Ver Steeg is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers) and Topic Modeling (10 papers). Greg Ver Steeg collaborates with scholars based in United States, Armenia and Spain. Greg Ver Steeg's co-authors include Aram Galstyan, Nicolas C. Menicucci, Dong Guo, Linhong Zhu, Junming Yin, Vasanthan Raghavan, Kristina Lerman, Alexander G. Tartakovsky, Rumi Ghosh and Yoon-Sik Cho and has published in prestigious journals such as PLoS ONE, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Greg Ver Steeg

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Greg Ver Steeg United States 16 465 428 190 107 105 75 1.1k
Gábor Vattay Hungary 21 153 0.3× 555 1.3× 193 1.0× 211 2.0× 142 1.4× 85 1.4k
Vito D. P. Servedio Italy 20 240 0.5× 628 1.5× 137 0.7× 218 2.0× 117 1.1× 53 1.6k
Eduardo G. Altmann Germany 23 312 0.7× 840 2.0× 120 0.6× 34 0.3× 208 2.0× 57 1.6k
Jiawei Zhang China 11 648 1.4× 388 0.9× 58 0.3× 308 2.9× 97 0.9× 31 987
Lock Yue Chew Singapore 17 126 0.3× 195 0.5× 189 1.0× 23 0.2× 203 1.9× 100 1.0k
Raúl J. Mondragón United Kingdom 14 116 0.2× 795 1.9× 270 1.4× 49 0.5× 161 1.5× 43 1.5k
Pan Zhang China 21 701 1.5× 717 1.7× 496 2.6× 73 0.7× 152 1.4× 106 2.0k
A. Ratkiewicz United States 19 312 0.7× 420 1.0× 200 1.1× 245 2.3× 10 0.1× 54 1.5k
Oliver Riordan United Kingdom 23 242 0.5× 1.6k 3.6× 50 0.3× 65 0.6× 190 1.8× 70 2.9k
Aurélien Decelle France 13 327 0.7× 568 1.3× 67 0.4× 9 0.1× 150 1.4× 37 1.1k

Countries citing papers authored by Greg Ver Steeg

Since Specialization
Citations

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

Fields of papers citing papers by Greg Ver Steeg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Ver Steeg. 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 Greg Ver Steeg. The network helps show where Greg Ver Steeg may publish in the future.

Co-authorship network of co-authors of Greg Ver Steeg

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Ver Steeg. A scholar is included among the top collaborators of Greg Ver Steeg 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 Greg Ver Steeg. Greg Ver Steeg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yunxiang, et al.. (2025). Denoising diffusion wavelet models for zero-shot medical image translation. Knowledge-Based Systems. 324. 113800–113800.
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Gupta, Umang, Hamza Saleem, Greg Ver Steeg, et al.. (2024). A federated learning architecture for secure and private neuroimaging analysis. Patterns. 5(8). 101031–101031. 11 indexed citations
5.
Littman, Russell, Francesca Battaglin, Donna Niedzwiecki, et al.. (2024). q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics. Communications Biology. 7(1). 400–400.
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Qiu, Xinru, et al.. (2024). Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development. Biomolecules. 14(3). 339–339. 43 indexed citations
8.
Li, Qiang, Greg Ver Steeg, & Jesús Malo. (2023). Functional connectivity via total correlation: Analytical results in visual areas. Neurocomputing. 571. 127143–127143. 7 indexed citations
9.
Gupta, Umang, Varun Kumar, Yada Pruksachatkun, et al.. (2022). Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. Findings of the Association for Computational Linguistics: ACL 2022. 658–678. 16 indexed citations
10.
Li, Qiang, Greg Ver Steeg, Shujian Yu, & Jesús Malo. (2022). Functional Connectome of the Human Brain with Total Correlation. Entropy. 24(12). 1725–1725. 12 indexed citations
11.
Burghardt, Keith, et al.. (2022). Inferring topological transitions in pattern-forming processes with self-supervised learning. npj Computational Materials. 8(1). 10 indexed citations
12.
Annavaram, Murali, et al.. (2022). StATIK: Structure and Text for Inductive Knowledge Graph Completion. 604–615. 11 indexed citations
13.
Steeg, Greg Ver, et al.. (2021). Discovering Higher-Order Interactions Through Neural Information Decomposition. Entropy. 23(1). 79–79. 2 indexed citations
14.
Steeg, Greg Ver, et al.. (2021). Influence Decompositions For Neural Network Attribution. International Conference on Artificial Intelligence and Statistics. 2710–2718.
15.
Moyer, Daniel, et al.. (2018). Invariant Representations without Adversarial Training. Neural Information Processing Systems. 31. 9084–9093. 22 indexed citations
16.
Gao, Shuyang, Greg Ver Steeg, & Aram Galstyan. (2016). Variational information maximization for feature selection. Neural Information Processing Systems. 29. 487–495. 5 indexed citations
17.
Zhu, Linhong, Dong Guo, Junming Yin, Greg Ver Steeg, & Aram Galstyan. (2016). Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. IEEE Transactions on Knowledge and Data Engineering. 28(10). 2765–2777. 169 indexed citations
18.
Steeg, Greg Ver & Aram Galstyan. (2015). Maximally Informative Hierarchical Representations of High-Dimensional Data. International Conference on Artificial Intelligence and Statistics. 1004–1012. 11 indexed citations
19.
Steeg, Greg Ver & Aram Galstyan. (2013). Statistical Tests for Contagion in Observational Social Network Studies. International Conference on Artificial Intelligence and Statistics. 563–571. 7 indexed citations
20.
Huesch, Marco D., Greg Ver Steeg, & Aram Galstyan. (2013). Vaccination (anti-) campaigns in social media. National Conference on Artificial Intelligence. 31–34. 7 indexed citations

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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