Aws Albarghouthi

1.8k total citations
41 papers, 548 citations indexed

About

Aws Albarghouthi is a scholar working on Artificial Intelligence, Software and Computer Networks and Communications. According to data from OpenAlex, Aws Albarghouthi has authored 41 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Software and 9 papers in Computer Networks and Communications. Recurrent topics in Aws Albarghouthi's work include Software Testing and Debugging Techniques (11 papers), Distributed systems and fault tolerance (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Aws Albarghouthi is often cited by papers focused on Software Testing and Debugging Techniques (11 papers), Distributed systems and fault tolerance (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Aws Albarghouthi collaborates with scholars based in United States, Canada and Belgium. Aws Albarghouthi's co-authors include Calvin Smith, Arie Gurfinkel, Loris D’Antoni, Aditya V. Nori, Bilge Mutlu, Allison Sauppé, Yi Li, Zachary Kincaid, Marsha Chećhik and Paraschos Koutris and has published in prestigious journals such as Communications of the ACM, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

In The Last Decade

Aws Albarghouthi

38 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aws Albarghouthi United States 15 317 159 152 114 113 41 548
Nadia Polikarpova United States 12 278 0.9× 313 2.0× 265 1.7× 50 0.4× 93 0.8× 39 602
Assaf Marron Israel 10 229 0.7× 121 0.8× 121 0.8× 70 0.6× 105 0.9× 47 375
Joshua Sunshine United States 13 223 0.7× 247 1.6× 81 0.5× 98 0.9× 75 0.7× 52 469
Loris D’Antoni United States 15 341 1.1× 222 1.4× 197 1.3× 156 1.4× 131 1.2× 56 679
Ganesh Sittampalam United Kingdom 14 710 2.2× 556 3.5× 255 1.7× 301 2.6× 147 1.3× 24 919
Edward Aftandilian United States 12 202 0.6× 464 2.9× 327 2.2× 205 1.8× 21 0.2× 17 670
Mohammad Reza Mousavi Netherlands 17 489 1.5× 241 1.5× 308 2.0× 300 2.6× 350 3.1× 127 1.0k
Joshua Bloch United States 8 270 0.9× 289 1.8× 145 1.0× 263 2.3× 37 0.3× 14 646
D Barstow United States 14 495 1.6× 336 2.1× 191 1.3× 160 1.4× 171 1.5× 40 768
Christopher Jefferson United Kingdom 14 278 0.9× 81 0.5× 124 0.8× 329 2.9× 96 0.8× 40 555

Countries citing papers authored by Aws Albarghouthi

Since Specialization
Citations

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

Fields of papers citing papers by Aws Albarghouthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aws Albarghouthi

This figure shows the co-authorship network connecting the top 25 collaborators of Aws Albarghouthi. A scholar is included among the top collaborators of Aws Albarghouthi 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 Aws Albarghouthi. Aws Albarghouthi 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.
Tannu, Swamit, et al.. (2025). Optimizing Quantum Circuits, Fast and Slow. 777–793. 1 indexed citations
2.
Tannu, Swamit, et al.. (2025). Dependency-Aware Compilation for Surface Code Quantum Architectures. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 57–84.
3.
Lepoint, Tancrède, et al.. (2025). Verified Foundations for Differential Privacy. Proceedings of the ACM on Programming Languages. 9(PLDI). 1094–1118.
4.
Desai, Ankush, et al.. (2025). Checking Observational Correctness of Database Systems. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 1661–1688.
5.
Tannu, Swamit, et al.. (2023). Synthesizing Quantum-Circuit Optimizers. Proceedings of the ACM on Programming Languages. 7(PLDI). 835–859. 14 indexed citations
6.
Albarghouthi, Aws, et al.. (2023). The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions. 193–204. 3 indexed citations
7.
Wang, Zi, et al.. (2022). Semantic Robustness of Models of Source Code. arXiv (Cornell University). 526–537. 34 indexed citations
8.
Çakmak, Maya, et al.. (2021). Figaro: A Tabletop Authoring Environment for Human-Robot Interaction. 1–15. 6 indexed citations
9.
Smith, Calvin, et al.. (2020). Generating Programmatic Referring Expressions via Program Synthesis. International Conference on Machine Learning. 1. 4495–4506. 2 indexed citations
10.
Albarghouthi, Aws, et al.. (2020). Proving data-poisoning robustness in decision trees. 1083–1097. 9 indexed citations
11.
Sauppé, Allison, et al.. (2020). Transforming Robot Programs Based on Social Context. 1–12. 9 indexed citations
12.
Sen, Rathijit, et al.. (2020). Automated tuning of query degree of parallelism via machine learning. 1–4. 8 indexed citations
13.
Sauppé, Allison, et al.. (2019). Bodystorming Human-Robot Interactions. 479–491. 23 indexed citations
14.
Smith, Calvin & Aws Albarghouthi. (2019). Synthesizing differentially private programs. Proceedings of the ACM on Programming Languages. 3(ICFP). 1–29. 5 indexed citations
15.
Alagappan, Ramnatthan, et al.. (2018). Protocol-Aware Recovery for Consensus-Based Storage.. File and Storage Technologies. 15–31. 4 indexed citations
16.
Alagappan, Ramnatthan, et al.. (2018). Protocol-Aware Recovery for Consensus-Based Distributed Storage. ACM Transactions on Storage. 14(3). 1–30. 6 indexed citations
17.
Sauppé, Allison, et al.. (2018). Authoring and Verifying Human-Robot Interactions. 75–86. 35 indexed citations
18.
Smith, Calvin, et al.. (2017). Discovering relational specifications. 616–626. 8 indexed citations
19.
Albarghouthi, Aws, et al.. (2017). FairSquare: probabilistic verification of program fairness. Proceedings of the ACM on Programming Languages. 1(OOPSLA). 1–30. 54 indexed citations
20.
Alagappan, Ramnatthan, et al.. (2015). Beyond storage APIs: provable semantics for storage stacks. 20–20. 9 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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