Jeff Offutt

9.1k total citations · 3 hit papers
168 papers, 5.8k citations indexed

About

Jeff Offutt is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jeff Offutt has authored 168 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Software, 98 papers in Information Systems and 30 papers in Computer Networks and Communications. Recurrent topics in Jeff Offutt's work include Software Testing and Debugging Techniques (126 papers), Software Reliability and Analysis Research (95 papers) and Software Engineering Research (79 papers). Jeff Offutt is often cited by papers focused on Software Testing and Debugging Techniques (126 papers), Software Reliability and Analysis Research (95 papers) and Software Engineering Research (79 papers). Jeff Offutt collaborates with scholars based in United States, Sweden and Brazil. Jeff Offutt's co-authors include Paul Ammann, Yu‐Seung Ma, Mats Grindal, Yong Rae Kwon, Sten F. Andler, Nan Li, Aynur Abdurazik, Márcio Eduardo Delamaro, Yong‐Rae Kwon and Roger T. Alexander and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and Journal of Clinical Pathology.

In The Last Decade

Jeff Offutt

159 papers receiving 5.4k citations

Hit Papers

Introduction to Software Testing 2004 2026 2011 2018 2008 2004 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Offutt United States 38 4.8k 3.4k 1.3k 860 712 168 5.8k
Darko Marinov United States 43 5.4k 1.1× 4.0k 1.2× 1.5k 1.2× 835 1.0× 1.1k 1.6× 149 6.6k
T.H. Tse Hong Kong 31 2.9k 0.6× 2.1k 0.6× 1.2k 1.0× 354 0.4× 628 0.9× 143 3.9k
Yue Jia United Kingdom 34 3.5k 0.7× 3.1k 0.9× 653 0.5× 1.1k 1.3× 731 1.0× 75 4.9k
Earl T. Barr United Kingdom 23 2.0k 0.4× 2.5k 0.7× 763 0.6× 647 0.8× 985 1.4× 71 3.4k
Mary Lou Soffa United States 45 3.7k 0.8× 3.4k 1.0× 3.1k 2.4× 692 0.8× 1.5k 2.0× 213 7.2k
Gail E. Kaiser United States 36 1.5k 0.3× 3.1k 0.9× 2.0k 1.5× 433 0.5× 2.2k 3.1× 279 5.3k
Alessandro Orso United States 49 4.9k 1.0× 5.8k 1.7× 2.4k 1.9× 2.2k 2.5× 2.2k 3.1× 167 7.8k
David Notkin United States 42 3.8k 0.8× 5.5k 1.6× 2.4k 1.9× 663 0.8× 3.3k 4.6× 149 7.5k
Gregg Rothermel United States 59 12.6k 2.7× 8.8k 2.6× 3.2k 2.5× 813 0.9× 932 1.3× 196 13.5k
Thomas J. McCabe United States 7 2.6k 0.5× 3.5k 1.1× 943 0.7× 309 0.4× 1.3k 1.8× 11 4.4k

Countries citing papers authored by Jeff Offutt

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Offutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Offutt

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Offutt. A scholar is included among the top collaborators of Jeff Offutt 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 Jeff Offutt. Jeff Offutt 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.
Fazzini, Mattia, et al.. (2024). Automating GUI-based Test Oracles for Mobile Apps. 309–321. 3 indexed citations
2.
Ferrari, Fabiano Cutigi, et al.. (2024). A systematic review of fault tolerance techniques for smart city applications. Journal of Systems and Software. 219. 112249–112249. 1 indexed citations
3.
Offutt, Jeff, et al.. (2023). On subsumption relationships in data flow testing. Software Testing Verification and Reliability. 33(6). 1 indexed citations
4.
Hutchison, Amy, et al.. (2021). Designing a Model of Computer Science Professional Development for Elementary Educators in Inclusive Classrooms.. The Journal of Technology and Teacher Education. 29(2). 165–193. 1 indexed citations
5.
6.
Deng, Lin, Jeff Offutt, Paul Ammann, & Nariman Mirzaei. (2016). Mutation operators for testing Android apps. Information and Software Technology. 81. 154–168. 55 indexed citations
7.
Ammann, Paul, Márcio Eduardo Delamaro, & Jeff Offutt. (2014). Establishing Theoretical Minimal Sets of Mutants. Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico). 21–30. 126 indexed citations
8.
Delamaro, Márcio Eduardo, Jeff Offutt, & Paul Ammann. (2014). Designing Deletion Mutation Operators. Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico). 11–20. 40 indexed citations
9.
Kurtz, Bob, Paul Ammann, Márcio Eduardo Delamaro, Jeff Offutt, & Lin Deng. (2014). Mutant Subsumption Graphs. Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico). 176–185. 61 indexed citations
10.
Mateo, Pedro Reales, Macario Polo, & Jeff Offutt. (2012). Mutation at the multi-class and system levels. Science of Computer Programming. 78(4). 364–387. 5 indexed citations
11.
Offutt, Jeff. (2011). A mutation carol: Past, present and future. Information and Software Technology. 53(10). 1098–1107. 53 indexed citations
12.
Grindal, Mats & Jeff Offutt. (2007). Input parameter modeling for combination strategies. International Conference on Software Engineering. 255–260. 43 indexed citations
13.
Grindal, Mats, et al.. (2007). Six Issues in Testing Event-Triggered Real-Time Systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 indexed citations
14.
Grindal, Mats & Jeff Offutt. (2007). Input Parameter Modeling for Combination Strategies in Software Testing. International Conference on Software Engineering. 255–260. 2 indexed citations
15.
Offutt, Jeff, et al.. (2006). Class-component testability analysis. International Conference on Software Engineering. 61–66. 3 indexed citations
16.
Offutt, Jeff, et al.. (2005). Test case generation for testing of timeliness : Extended version. Journal of Clinical Pathology. 61(3). 390–5. 2 indexed citations
17.
Offutt, Jeff, et al.. (2005). Increasing Class-Component Testability.. 156–161. 4 indexed citations
18.
Ma, Yu‐Seung, Jeff Offutt, & Yong Rae Kwon. (2005). MuJava: an automated class mutation system: Research Articles. Software Testing Verification and Reliability. 15(2). 97–133. 40 indexed citations
19.
Schach, Stephen R., et al.. (2003). Determining the Distribution of Maintenance Categories: Survey versus Measurement. Empirical Software Engineering. 8(4). 351–365. 47 indexed citations
20.
Abdurazik, Aynur, et al.. (2002). Evaluation of three specification-based testing criteria. 179–187. 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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