Mark Gabel

2.3k total citations · 2 hit papers
12 papers, 1.5k citations indexed

About

Mark Gabel is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Mark Gabel has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Software and 4 papers in Artificial Intelligence. Recurrent topics in Mark Gabel's work include Software Engineering Research (12 papers), Software Testing and Debugging Techniques (12 papers) and Software Reliability and Analysis Research (6 papers). Mark Gabel is often cited by papers focused on Software Engineering Research (12 papers), Software Testing and Debugging Techniques (12 papers) and Software Reliability and Analysis Research (6 papers). Mark Gabel collaborates with scholars based in United States, United Kingdom and Canada. Mark Gabel's co-authors include Zhendong Su, Earl T. Barr, Abram Hindle, Prémkumar Dévanbu, Lingxiao Jiang, Junfeng Yang, Moisés Goldszmidt, Yuan Yu and Yuan Yu and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and International Conference on Software Engineering.

In The Last Decade

Mark Gabel

12 papers receiving 1.4k citations

Hit Papers

On the naturalness of software 2012 2026 2016 2021 2012 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Gabel United States 10 1.3k 876 447 443 351 12 1.5k
Ira D. Baxter United States 15 1.3k 1.0× 871 1.0× 453 1.0× 490 1.1× 252 0.7× 33 1.4k
Suresh Thummalapenta United States 19 1.4k 1.1× 974 1.1× 269 0.6× 354 0.8× 452 1.3× 36 1.6k
Martin Monperrus Sweden 19 1.4k 1.1× 1.4k 1.6× 336 0.8× 357 0.8× 412 1.2× 73 1.9k
A. Cimitile Italy 22 1.2k 0.9× 829 0.9× 270 0.6× 425 1.0× 359 1.0× 69 1.4k
Miltiadis Allamanis United Kingdom 15 897 0.7× 424 0.5× 226 0.5× 494 1.1× 180 0.5× 31 1.1k
Veselin Raychev Switzerland 20 1.2k 0.9× 869 1.0× 550 1.2× 621 1.4× 450 1.3× 34 1.6k
Fan Long Canada 19 1.2k 0.9× 1.2k 1.4× 406 0.9× 424 1.0× 402 1.1× 44 1.8k
Mariano Ceccato Italy 21 1.1k 0.8× 595 0.7× 443 1.0× 645 1.5× 350 1.0× 91 1.4k
Márcio Ribeiro Brazil 21 1.2k 0.9× 763 0.9× 154 0.3× 641 1.4× 360 1.0× 117 1.4k
Rohit Gheyi Brazil 21 1.2k 0.9× 873 1.0× 130 0.3× 647 1.5× 318 0.9× 102 1.4k

Countries citing papers authored by Mark Gabel

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gabel

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

All Works

12 of 12 papers shown
1.
Hindle, Abram, Earl T. Barr, Mark Gabel, Zhendong Su, & Prémkumar Dévanbu. (2016). On the naturalness of software. Communications of the ACM. 59(5). 122–131. 184 indexed citations
2.
Hindle, Abram, Earl T. Barr, Zhendong Su, Mark Gabel, & Prémkumar Dévanbu. (2012). On the naturalness of software. International Conference on Software Engineering. 837–847. 337 indexed citations breakdown →
3.
Gabel, Mark & Zhendong Su. (2012). Testing mined specifications. 1–11. 23 indexed citations
4.
Hindle, Abram, Earl T. Barr, Zhendong Su, Mark Gabel, & Prémkumar Dévanbu. (2012). On the naturalness of software. 837–847. 287 indexed citations breakdown →
5.
Su, Zhendong & Mark Gabel. (2011). Inferring programmer intent and related errors from software. 1 indexed citations
6.
Gabel, Mark, Junfeng Yang, Yuan Yu, Moisés Goldszmidt, & Zhendong Su. (2010). Scalable and systematic detection of buggy inconsistencies in source code. 175–190. 51 indexed citations
7.
Gabel, Mark & Zhendong Su. (2010). Online inference and enforcement of temporal properties. 15–24. 64 indexed citations
8.
Gabel, Mark & Zhendong Su. (2010). A study of the uniqueness of source code. 147–156. 136 indexed citations
9.
Gabel, Mark, Junfeng Yang, Yuan Yu, Moisés Goldszmidt, & Zhendong Su. (2010). Scalable and systematic detection of buggy inconsistencies in source code. ACM SIGPLAN Notices. 45(10). 175–190. 8 indexed citations
10.
Gabel, Mark & Zhendong Su. (2008). Symbolic mining of temporal specifications. 51–60. 61 indexed citations
11.
Gabel, Mark, Lingxiao Jiang, & Zhendong Su. (2008). Scalable detection of semantic clones. 321–330. 222 indexed citations
12.
Gabel, Mark & Zhendong Su. (2008). Javert. 339–349. 125 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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