Adam Porter

3.4k total citations
88 papers, 2.4k citations indexed

About

Adam Porter is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Adam Porter has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Information Systems, 54 papers in Software and 30 papers in Computer Networks and Communications. Recurrent topics in Adam Porter's work include Software Engineering Research (54 papers), Software Testing and Debugging Techniques (46 papers) and Software Reliability and Analysis Research (40 papers). Adam Porter is often cited by papers focused on Software Engineering Research (54 papers), Software Testing and Debugging Techniques (46 papers) and Software Reliability and Analysis Research (40 papers). Adam Porter collaborates with scholars based in United States, South Korea and Türkiye. Adam Porter's co-authors include Jungmin Kim, Lawrence G. Votta, Dewayne E. Perry, Gregg Rothermel, Cemal Yılmaz, Myra B. Cohen, Harvey Siy, Todd Graves, Mary Jean Harrold and Jeffrey S. Foster and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and Computational Statistics & Data Analysis.

In The Last Decade

Adam Porter

84 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Porter United States	25	1.7k	1.6k	619	397	221	88	2.4k
José Carlos Maldonado Brazil	25	1.4k 0.8×	1.2k 0.8×	418 0.7×	577 1.5×	263 1.2×	202	2.2k
Satish Chandra United States	22	1.3k 0.8×	1.2k 0.7×	376 0.6×	417 1.1×	121 0.5×	56	1.9k
Dennis Kafura United States	22	1.2k 0.7×	738 0.5×	610 1.0×	661 1.7×	298 1.3×	96	2.0k
David Hovemeyer United States	17	1.4k 0.8×	1.2k 0.7×	405 0.7×	531 1.3×	386 1.7×	34	2.0k
Antonia Bertolino Italy	27	2.0k 1.2×	2.4k 1.5×	1.1k 1.8×	766 1.9×	77 0.3×	172	3.2k
Michel Wermelinger United Kingdom	22	1.2k 0.7×	630 0.4×	446 0.7×	853 2.1×	218 1.0×	100	1.6k
Pankaj Jalote India	23	1.0k 0.6×	588 0.4×	768 1.2×	507 1.3×	115 0.5×	109	1.9k
Malcolm Munro United Kingdom	25	1.6k 1.0×	852 0.5×	530 0.9×	712 1.8×	104 0.5×	136	2.1k
Jane Huffman Hayes United States	29	2.5k 1.5×	1.4k 0.9×	501 0.8×	684 1.7×	318 1.4×	116	2.8k
A. von Mayrhauser United States	23	1.5k 0.9×	792 0.5×	315 0.5×	616 1.6×	299 1.4×	85	1.8k

Countries citing papers authored by Adam Porter

Since Specialization

Citations

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

Fields of papers citing papers by Adam Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Porter

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

Luan, Tu, Bo Liu, Mathieu Almeida, et al.. (2025). Reference-guided assembly of metagenomes with MetaCompass. Cell Reports Methods. 5(10). 101186–101186. 1 indexed citations

Garratt, Elias, et al.. (2024). AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth. Key engineering materials. 993. 67–74. 1 indexed citations

Wei, Shiyi, et al.. (2023). An empirical assessment of machine learning approaches for triaging reports of static analysis tools. Empirical Software Engineering. 28(2). 3 indexed citations

Kane, Aimée A., et al.. (2023). Intelligence Analysis Shift Work: Sensemaking Processes, Tensions, and Takeaways. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 741–746. 4 indexed citations

Wei, Shiyi, et al.. (2021). SATune: A Study-Driven Auto-Tuning Approach for Configurable Software Verification Tools. 330–342. 5 indexed citations

Porter, Adam, et al.. (2020). Metamorphic filtering of black-box adversarial attacks on multi-network face recognition models. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 410–417. 3 indexed citations

Porter, Adam, et al.. (2017). Identifying and Documenting False Positive Patterns Generated by Static Code Analysis Tools. IUScholarWorks (Indiana University). 21 indexed citations

Nguyen, ThanhVu, et al.. (2016). iGen: dynamic interaction inference for configurable software. 655–665. 14 indexed citations

Porter, Adam, et al.. (2012). iTree: efficiently discovering high-coverage configurations using interaction trees. International Conference on Software Engineering. 903–913. 20 indexed citations

10.

Porter, Adam, et al.. (2009). Skoll: A Process and Infrastructure for Distributed Continuous Quality Assurance. IEEE Transactions on Software Engineering. 2 indexed citations

11.

Yılmaz, Cemal, Adam Porter, Atif M. Memon, et al.. (2007). Reliable Effects Screening: A Distributed Continuous Quality Assurance Process for Monitoring Performance Degradation in Evolving Software Systems. IEEE Transactions on Software Engineering. 33(2). 124–141. 14 indexed citations

12.

Porter, Adam, et al.. (2006). Techniques and processes for improving the quality and performance of open‐source software. Software Process Improvement and Practice. 11(2). 163–176. 27 indexed citations

13.

Kim, Jungmin, Adam Porter, & Gregg Rothermel. (2005). An empirical study of regression test application frequency: Research Articles. Software Testing Verification and Reliability. 15(4). 257–279. 4 indexed citations

14.

Yılmaz, Cemal, Atif M. Memon, Adam Porter, et al.. (2005). Main effects screening. 293–293. 28 indexed citations

15.

Faulk, Stuart, John L. Gustafson, Philip M. Johnson, et al.. (2004). Measuring HPC productivity. The International Journal of High Performance Computing Applications. 18(4). 11 indexed citations

16.

Yılmaz, Cemal, Myra B. Cohen, & Adam Porter. (2004). Covering arrays for efficient fault characterization in complex configuration spaces. 45–54. 42 indexed citations

17.

Graves, Todd, Mary Jean Harrold, Jungmin Kim, Adam Porter, & Gregg Rothermel. (2001). An empirical study of regression test selection techniques. ACM Transactions on Software Engineering and Methodology. 10(2). 184–208. 249 indexed citations

18.

Porter, Adam. (1993). Developing and Analyzing Classification Rules for Predicting Faulty Software Components.. Software Engineering and Knowledge Engineering. 45(4). 453–461. 3 indexed citations

19.

Porter, Adam. (1993). Using measurement-driven modeling to provide empirical feedback to software developers. Journal of Systems and Software. 20(3). 237–243. 5 indexed citations

20.

Selby, Richard W., et al.. (1991). Metric-driven analysis and feedback systems for enabling empirically guided software development. International Conference on Software Engineering. 288–298. 62 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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