Alex Gittens

960 total citations
23 papers, 333 citations indexed

About

Alex Gittens is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alex Gittens has authored 23 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alex Gittens's work include Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (5 papers) and Face and Expression Recognition (4 papers). Alex Gittens is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (5 papers) and Face and Expression Recognition (4 papers). Alex Gittens collaborates with scholars based in United States, Ireland and Israel. Alex Gittens's co-authors include Michael W. Mahoney, Christos Boutsidis, Shusen Wang, Dimitris Achlioptas, Roszilah Hamid, Joel A. Tropp, Dennis DeCoste, Ying Xiao, Bo Liu and Jia Li and has published in prestigious journals such as Journal of Materials Chemistry, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Alex Gittens

22 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Gittens United States	11	192	104	101	50	29	23	333
Cameron Musco United States	8	176 0.9×	85 0.8×	79 0.8×	9 0.2×	65 2.2×	27	283
Ali Çivril Türkiye	5	66 0.3×	81 0.8×	69 0.7×	9 0.2×	51 1.8×	6	239
Kaizheng Wang United States	4	60 0.3×	98 0.9×	30 0.3×	83 1.7×	16 0.6×	7	255
Sushant Sachdeva United States	10	132 0.7×	33 0.3×	31 0.3×	33 0.7×	154 5.3×	32	307
Aravindan Vijayaraghavan United States	8	140 0.7×	34 0.3×	28 0.3×	22 0.4×	182 6.3×	28	340
Hao Ji United States	9	68 0.4×	44 0.4×	50 0.5×	9 0.2×	52 1.8×	31	251
Hristo S. Sendov Canada	9	31 0.2×	118 1.1×	47 0.5×	23 0.5×	198 6.8×	34	375
Ronen Eldan Israel	10	136 0.7×	19 0.2×	46 0.5×	109 2.2×	46 1.6×	27	397
Nati Linial Israel	11	169 0.9×	22 0.2×	21 0.2×	28 0.6×	216 7.4×	35	353
Abbas Mehrabian Canada	9	124 0.6×	21 0.2×	35 0.3×	18 0.4×	68 2.3×	27	258

Countries citing papers authored by Alex Gittens

Since Specialization

Citations

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

Fields of papers citing papers by Alex Gittens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Gittens. 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 Alex Gittens. The network helps show where Alex Gittens may publish in the future.

Co-authorship network of co-authors of Alex Gittens

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gittens, Alex, et al.. (2025). Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 39(14). 14885–14892.

Gittens, Alex, et al.. (2023). Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning. 8. 1164–1175. 1 indexed citations

Gittens, Alex, et al.. (2023). Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming. 197–209. 3 indexed citations

Saha, Anik, et al.. (2022). SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models. 133–137. 3 indexed citations

Gittens, Alex, et al.. (2022). TINKER: A framework for Open source Cyberthreat Intelligence. 1569–1574. 6 indexed citations

Gittens, Alex, Bülent Yener, & Moti Yung. (2022). An Adversarial Perspective on Accuracy, Robustness, Fairness, and Privacy: Multilateral-Tradeoffs in Trustworthy ML. IEEE Access. 10. 120850–120865. 4 indexed citations

Hu, Dong, et al.. (2021). Sparse Graph Based Sketching for Fast Numerical Linear Algebra. 10. 3255–3259. 1 indexed citations

Gittens, Alex, Kareem S. Aggour, & Bülent Yener. (2020). Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition. 1. 3566–3575. 4 indexed citations

Wang, Shusen, Alex Gittens, & Michael W. Mahoney. (2019). Scalable kernel k-means clustering with Nyström approximation: relative-error bounds. Journal of Machine Learning Research. 20(12). 431–479. 31 indexed citations

10.

Liu, Bo, Liping Jing, Jia Li, et al.. (2018). Group Collaborative Representation for Image Set Classification. International Journal of Computer Vision. 127(2). 181–206. 24 indexed citations

11.

Gittens, Alex, et al.. (2018). Iterative Randomized Algorithms for Low Rank Approximation of Tera-scale Matrices with Small Spectral Gaps. abs 1504 5477. 33–40. 1 indexed citations

12.

Wang, Shusen, Alex Gittens, & Michael W. Mahoney. (2017). Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. Journal of Machine Learning Research. 18(1). 3608–3616. 23 indexed citations

13.

Gittens, Alex, Jiyan Yang, Michael F. Ringenburg, et al.. (2016). A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

14.

Kuang, Da, Alex Gittens, & Roszilah Hamid. (2015). Hardware compliant approximate image codes. 1. 924–932. 1 indexed citations

15.

Hamid, Roszilah, Ying Xiao, Alex Gittens, & Dennis DeCoste. (2014). Compact Random Feature Maps. arXiv (Cornell University). 19–27. 27 indexed citations

16.

Gittens, Alex, Prabhanjan Kambadur, & Christos Boutsidis. (2013). Approximate Spectral Clustering via Randomized Sketching. 10 indexed citations

17.

Gittens, Alex & Michael W. Mahoney. (2013). Revisiting the Nystrom Method for Improved Large-Scale Machine Learning. arXiv (Cornell University). 567–575. 37 indexed citations

18.

Gittens, Alex, et al.. (2012). The masked sample covariance estimator: an analysis using matrix concentration inequalities. Information and Inference A Journal of the IMA. 1(1). 2–20. 22 indexed citations

19.

Papadakis, Manos, Bernhard G. Bodmann, Deborah Vela, et al.. (2009). Texture‐based tissue characterization for high‐resolution CT scans of coronary arteries. Communications in Numerical Methods in Engineering. 25(6). 597–613. 7 indexed citations

20.

Ok, Kang Min, Alex Gittens, Lei Zhang, & P. Shiv Halasyamani. (2003). Synthesis, structure and characterization of two new antimony oxides–LaSb₃O₉and LaSb₅O₁₂: Formation of LaSb₅O₁₂from the reaction of LaSb₃O₉with Sb₂O₃. Journal of Materials Chemistry. 14(1). 116–120. 16 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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