José Cambronero

507 total citations
20 papers, 207 citations indexed

About

José Cambronero is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, José Cambronero has authored 20 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Software. Recurrent topics in José Cambronero's work include Software Engineering Research (8 papers), Software Testing and Debugging Techniques (5 papers) and Topic Modeling (4 papers). José Cambronero is often cited by papers focused on Software Engineering Research (8 papers), Software Testing and Debugging Techniques (5 papers) and Topic Modeling (4 papers). José Cambronero collaborates with scholars based in United States, Austria and India. José Cambronero's co-authors include Sumit Gulwani, Martin Rinard, Gustavo Soares, Adish Singla, Micah J. Smith, Samuel Madden, Jürgen Cito, Tobias Kohn, Rupak Majumdar and Vu Le and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Cancer and Proceedings of the VLDB Endowment.

In The Last Decade

José Cambronero

15 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José Cambronero United States	8	122	42	39	35	31	20	207
Serge Autexier Germany	9	135 1.1×	33 0.8×	52 1.3×	21 0.6×	9 0.3×	44	251
Kaveh Taghipour Iran	8	447 3.7×	95 2.3×	37 0.9×	3 0.1×	32 1.0×	16	519
Marc Pouly Switzerland	7	40 0.3×	16 0.4×	4 0.1×	7 0.2×	27 0.9×	24	122
Clement Fung Canada	6	269 2.2×	145 3.5×	29 0.7×	5 0.1×	3 0.1×	10	342
Jie Zou China	10	140 1.1×	161 3.8×	17 0.4×	15 0.4×	1 0.0×	29	253
Julien Aligon France	7	71 0.6×	43 1.0×	7 0.2×		7 0.2×	14	188
Fadel Touré Canada	11	53 0.4×	199 4.7×	17 0.4×	181 5.2×	47 1.5×	23	289
Karthikeyan Ponnalagu India	10	126 1.0×	163 3.9×	8 0.2×	15 0.4×	13 0.4×	27	244
Braden Hancock United States	7	139 1.1×	36 0.9×	10 0.3×	4 0.1×		9	191
Sadia Ali Pakistan	9	83 0.7×	166 4.0×	40 1.0×	44 1.3×		30	241

Countries citing papers authored by José Cambronero

Since Specialization

Citations

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

Fields of papers citing papers by José Cambronero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Cambronero

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

All Works

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20 of 20 papers shown

Cambronero, José, et al.. (2025). DataVinci: Learning Syntactic and Semantic String Repairs. Proceedings of the ACM on Management of Data. 3(1). 1–26.

Wei, Rui, et al.. (2025). Evaluating Agent-Based Program Repair at Google. 365–376. 1 indexed citations

Brooks, Christopher, et al.. (2024). Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. 12–23. 20 indexed citations

Cambronero, José, Sumit Gulwani, Vu Le, et al.. (2024). PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proceedings of the ACM on Programming Languages. 8(OOPSLA1). 1100–1124. 15 indexed citations

Zhou, Mengyu, et al.. (2024). Encoding Spreadsheets for Large Language Models. 20728–20748.

Barke, Shraddha, Benjamin G. Zorn, José Cambronero, et al.. (2024). Solving Data-centric Tasks using Large Language Models. 626–638.

Cambronero, José, et al.. (2023). EmFore: Online Learning of Email Folder Classification Rules. 9. 2280–2290.

Cambronero, José, Sumit Gulwani, Tobias Kohn, et al.. (2023). Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. 41–42. 45 indexed citations

Cambronero, José, et al.. (2023). CodeFusion: A Pre-trained Diffusion Model for Code Generation. 11697–11708. 5 indexed citations

10.

Cambronero, José, et al.. (2023). FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proceedings of the VLDB Endowment. 17(3). 497–510. 4 indexed citations

11.

Cambronero, José, et al.. (2023). FlashFill++: Scaling Programming by Example by Cutting to the Chase. Proceedings of the ACM on Programming Languages. 7(POPL). 952–981. 13 indexed citations

12.

Joshi, Harshit, et al.. (2022). Neurosymbolic repair for low-code formula languages. Proceedings of the ACM on Programming Languages. 6(OOPSLA2). 1093–1122. 7 indexed citations

13.

Cambronero, José, et al.. (2021). Doing more with less. Proceedings of the VLDB Endowment. 14(11). 2059–2072. 9 indexed citations

14.

Appelbaum, Limor, José Cambronero, Thurston H. Y. Dang, et al.. (2021). Development of a pancreatic cancer prediction model using a multinational medical records database.. Journal of Clinical Oncology. 39(3_suppl). 394–394. 4 indexed citations

15.

Appelbaum, Limor, José Cambronero, Jennifer P. Stevens, et al.. (2020). Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study. European Journal of Cancer. 143. 19–30. 35 indexed citations

16.

Cambronero, José, Jürgen Cito, & Martin Rinard. (2020). AMS: generating AutoML search spaces from weak specifications. 763–774. 10 indexed citations

17.

Appelbaum, Limor, José Cambronero, George Silva, et al.. (2020). Development and validation of a pancreatic cancer prediction model from electronic health records using machine learning.. Journal of Clinical Oncology. 38(4_suppl). 679–679.

18.

Cambronero, José, et al.. (2019). Active learning for software engineering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 62–78. 6 indexed citations

19.

Cambronero, José & Martin Rinard. (2019). AL: autogenerating supervised learning programs. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–28. 7 indexed citations

20.

Cambronero, José, et al.. (2017). Query optimization for dynamic imputation. Proceedings of the VLDB Endowment. 10(11). 1310–1321. 26 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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