Babak Salimi

628 total citations
27 papers, 296 citations indexed

About

Babak Salimi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Babak Salimi has authored 27 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Management Science and Operations Research. Recurrent topics in Babak Salimi's work include Advanced Database Systems and Queries (10 papers), Data Quality and Management (9 papers) and Bayesian Modeling and Causal Inference (7 papers). Babak Salimi is often cited by papers focused on Advanced Database Systems and Queries (10 papers), Data Quality and Management (9 papers) and Bayesian Modeling and Causal Inference (7 papers). Babak Salimi collaborates with scholars based in United States, Canada and Israel. Babak Salimi's co-authors include Dan Suciu, Bill Howe, Johannes Gehrke, Sainyam Galhotra, Leopoldo Bertossi, Sudeepa Roy, Boris Glavic, Lise Getoor, Alexandra Meliou and Michael Cafarella and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Theory of Computing Systems.

In The Last Decade

Babak Salimi

26 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Babak Salimi United States 10 238 83 73 43 28 27 296
Michael Wick United States 13 427 1.8× 14 0.2× 139 1.9× 54 1.3× 54 1.9× 29 506
Nezihe Merve Gürel Switzerland 8 210 0.9× 6 0.1× 52 0.7× 17 0.4× 16 0.6× 16 281
Pasin Manurangsi United States 8 63 0.3× 15 0.2× 77 1.1× 49 1.1× 9 0.3× 47 252
Alex Ratner United States 9 278 1.2× 4 0.0× 59 0.8× 28 0.7× 19 0.7× 11 372
Guohui Ling China 6 243 1.0× 9 0.1× 101 1.4× 55 1.3× 17 0.6× 8 389
Scott Alfeld United States 4 166 0.7× 8 0.1× 8 0.1× 45 1.0× 46 1.6× 11 229
Kareem Amin United States 9 126 0.5× 6 0.1× 136 1.9× 92 2.1× 19 0.7× 21 262
Chonggang Song China 7 234 1.0× 9 0.1× 107 1.5× 44 1.0× 8 0.3× 12 408
Mohammad Hadi Sadreddini Iran 10 165 0.7× 18 0.2× 9 0.1× 52 1.2× 53 1.9× 30 287
Muazzam Ahmed Siddiqui Saudi Arabia 9 194 0.8× 15 0.2× 10 0.1× 126 2.9× 131 4.7× 23 323

Countries citing papers authored by Babak Salimi

Since Specialization
Citations

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

Fields of papers citing papers by Babak Salimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Babak Salimi

This figure shows the co-authorship network connecting the top 25 collaborators of Babak Salimi. A scholar is included among the top collaborators of Babak Salimi 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 Babak Salimi. Babak Salimi 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.
Gómez, Óscar, et al.. (2023). Causal What-If and How-To Analysis Using HypeR. 3663–3666. 3 indexed citations
2.
Cafarella, Michael, et al.. (2023). On Explaining Confounding Bias. 1846–1859. 5 indexed citations
3.
Cafarella, Michael, et al.. (2023). NEXUS: On Explaining Confounding Bias. 171–174. 1 indexed citations
4.
Cafarella, Michael, et al.. (2023). Causal Data Integration. Proceedings of the VLDB Endowment. 16(10). 2659–2665. 7 indexed citations
5.
Galhotra, Sainyam, et al.. (2023). Consistent Range Approximation for Fair Predictive Modeling. Proceedings of the VLDB Endowment. 16(11). 2925–2938. 1 indexed citations
6.
Galhotra, Sainyam, et al.. (2022). Explainable AI: Foundations, Applications, Opportunities for Data Management Research. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3209–3212. 6 indexed citations
7.
Glavic, Boris, et al.. (2022). Interpretable Data-Based Explanations for Fairness Debugging. Proceedings of the 2022 International Conference on Management of Data. 247–261. 26 indexed citations
8.
Meliou, Alexandra, et al.. (2022). Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. Proceedings of the 2022 International Conference on Management of Data. 232–246. 16 indexed citations
9.
Galhotra, Sainyam, et al.. (2022). Explainable AI: Foundations, Applications, Opportunities for Data Management Research. Proceedings of the 2022 International Conference on Management of Data. 2452–2457. 12 indexed citations
10.
Wang, Paul Y., et al.. (2021). Demonstration of generating explanations for black-box algorithms using Lewis. Proceedings of the VLDB Endowment. 14(12). 2787–2790. 7 indexed citations
11.
Salimi, Babak, Bill Howe, & Dan Suciu. (2020). Database Repair Meets Algorithmic Fairness. ACM SIGMOD Record. 49(1). 34–41. 18 indexed citations
12.
Salimi, Babak, et al.. (2020). Causal Relational Learning. 241–256. 23 indexed citations
13.
Salimi, Babak, et al.. (2020). Demonstration of inferring causality from relational databases with CaRL. Proceedings of the VLDB Endowment. 13(12). 2985–2988. 2 indexed citations
14.
Salimi, Babak, et al.. (2020). Mining Approximate Acyclic Schemes from Relations. 297–312. 8 indexed citations
15.
Salimi, Babak, Johannes Gehrke, & Dan Suciu. (2018). HypDB: Detect, Explain And Resolve Bias in OLAP.. arXiv (Cornell University). 1 indexed citations
16.
Salimi, Babak, et al.. (2017). ZaliQL. Proceedings of the VLDB Endowment. 10(12). 1957–1960. 5 indexed citations
17.
Salimi, Babak, Leopoldo Bertossi, Dan Suciu, & Guy Van den Broeck. (2016). Quantifying causal effects on query answering in databases. 7–10. 3 indexed citations
18.
Salimi, Babak & Leopoldo Bertossi. (2015). From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
19.
Bertossi, Leopoldo & Babak Salimi. (2014). Causality in Databases, Database Repairs, and Consistency-Based Diagnosis (extended abstract).. 1 indexed citations
20.
Rajski, Janusz, Jerzy Tyszer, & Babak Salimi. (2002). On the diagnostic resolution of signature analysis. 364–367. 1 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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