Caitlin Sadowski

2.6k total citations
47 papers, 1.7k citations indexed

About

Caitlin Sadowski is a scholar working on Information Systems, Computer Networks and Communications and Software. According to data from OpenAlex, Caitlin Sadowski has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 23 papers in Computer Networks and Communications and 15 papers in Software. Recurrent topics in Caitlin Sadowski's work include Software Engineering Research (25 papers), Parallel Computing and Optimization Techniques (11 papers) and Software Engineering Techniques and Practices (11 papers). Caitlin Sadowski is often cited by papers focused on Software Engineering Research (25 papers), Parallel Computing and Optimization Techniques (11 papers) and Software Engineering Techniques and Practices (11 papers). Caitlin Sadowski collaborates with scholars based in United States, China and Hong Kong. Caitlin Sadowski's co-authors include Ciera Jaspan, Jaeheon Yi, Sebastian Elbaum, Emma Söderberg, Edward Aftandilian, Kathryn T. Stolee, Yannis Smaragdakis, Alberto Bacchelli, Luke Church and Scott Brandt and has published in prestigious journals such as Communications of the ACM, Molecular Endocrinology and IEEE Transactions on Software Engineering.

In The Last Decade

Caitlin Sadowski

45 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caitlin Sadowski United States	19	1.0k	604	564	443	313	47	1.7k
Satish Chandra United States	22	1.3k 1.3×	1.2k 2.0×	376 0.7×	159 0.4×	417 1.3×	56	1.9k
Hridesh Rajan United States	21	1.3k 1.3×	512 0.8×	628 1.1×	202 0.5×	998 3.2×	140	1.9k
Ivan Beschastnikh Canada	23	1.1k 1.1×	418 0.7×	1.0k 1.8×	80 0.2×	623 2.0×	83	2.0k
Adam Porter United States	25	1.7k 1.6×	1.6k 2.7×	619 1.1×	127 0.3×	397 1.3×	88	2.4k
Nikolai Tillmann United States	28	1.5k 1.5×	2.0k 3.3×	403 0.7×	209 0.5×	465 1.5×	110	2.7k
Dennis Kafura United States	22	1.2k 1.2×	738 1.2×	610 1.1×	160 0.4×	661 2.1×	96	2.0k
Richard J. LeBlanc United States	18	693 0.7×	220 0.4×	407 0.7×	318 0.7×	292 0.9×	82	1.4k
Justyna Petke United Kingdom	17	673 0.7×	754 1.2×	179 0.3×	75 0.2×	471 1.5×	70	1.3k
Kathi Fisler United States	20	553 0.5×	413 0.7×	257 0.5×	139 0.3×	717 2.3×	85	1.5k
Sang Kil South Korea	19	754 0.7×	1.1k 1.8×	308 0.5×	176 0.4×	616 2.0×	42	1.7k

Countries citing papers authored by Caitlin Sadowski

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin Sadowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin Sadowski

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin Sadowski. A scholar is included among the top collaborators of Caitlin Sadowski 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 Caitlin Sadowski. Caitlin Sadowski 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

1.

Stolee, Kathryn T., et al.. (2025). 10 Years Later: Revisiting How Developers Search for Code. Proceedings of the ACM on software engineering.. 2(FSE). 1205–1225.

2.

Jaspan, Ciera, et al.. (2018). Advantages and disadvantages of a monolithic repository. 225–234. 19 indexed citations

3.

Head, Andrew, et al.. (2018). When not to comment. 643–653. 16 indexed citations

4.

Sadowski, Caitlin, et al.. (2018). Lessons from building static analysis tools at Google. Communications of the ACM. 61(4). 58–66. 152 indexed citations

5.

Sadowski, Caitlin, Kathryn T. Stolee, & Sebastian Elbaum. (2015). How developers search for code: a case study. 191–201. 138 indexed citations

6.

Sadowski, Caitlin, et al.. (2015). Tricorder: Building a Program Analysis Ecosystem. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 598–608. 95 indexed citations

7.

Sadowski, Caitlin & Jaeheon Yi. (2014). How Developers Use Data Race Detection Tools. 43–51. 18 indexed citations

8.

Lewis, Chris, et al.. (2013). Does bug prediction support human developers? findings from a google case study. International Conference on Software Engineering. 372–381. 70 indexed citations

9.

Lewis, Chris, et al.. (2013). Does bug prediction support human developers? Findings from a Google case study. 2013 35th International Conference on Software Engineering (ICSE). 74 indexed citations

10.

Sadowski, Caitlin, Jaeheon Yi, & Sunghun Kim. (2012). The evolution of data races. 171–174. 4 indexed citations

11.

Murphy-Hill, Emerson, et al.. (2012). Proceedings of the ACM 4th annual workshop on Evaluation and usability of programming languages and tools. 3 indexed citations

12.

Sadowski, Caitlin, Jaeheon Yi, & Sunghun Kim. (2012). The evolution of data races. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 171–174. 2 indexed citations

13.

Burckhardt, Sebastian, Daan Leijen, Caitlin Sadowski, Jaeheon Yi, & Thomas Ball. (2011). Two for the price of one. ACM SIGPLAN Notices. 46(10). 427–444. 2 indexed citations

14.

Buse, Raymond P.L., Caitlin Sadowski, & Westley Weimer. (2011). Benefits and barriers of user evaluation in software engineering research. 643–656. 34 indexed citations

15.

Yi, Jaeheon, Caitlin Sadowski, & Cormac Flanagan. (2011). Cooperative reasoning for preemptive execution. ACM SIGPLAN Notices. 46(8). 147–156. 1 indexed citations

16.

Sadowski, Caitlin. (2011). Mental models and parallel program maintenance. 1102–1105. 1 indexed citations

17.

Sadowski, Caitlin, et al.. (2010). The last mile. 309–314. 11 indexed citations

18.

Sadowski, Caitlin & Jaeheon Yi. (2010). User evaluation of correctness conditions. 1–6. 7 indexed citations

19.

Sadowski, Caitlin & Jaeheon Yi. (2009). Tiddle. 15–21. 3 indexed citations

20.

Sadowski, Caitlin, et al.. (2008). Proving correctness of a dynamic atomicity analysis in Coq. 2 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.

Explore authors with similar magnitude of impact