Steve Kommrusch

552 total citations · 1 hit paper
5 papers, 328 citations indexed

About

Steve Kommrusch is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Steve Kommrusch has authored 5 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Software and 1 paper in Computer Networks and Communications. Recurrent topics in Steve Kommrusch's work include Software Testing and Debugging Techniques (3 papers), Software Engineering Research (3 papers) and Software Reliability and Analysis Research (2 papers). Steve Kommrusch is often cited by papers focused on Software Testing and Debugging Techniques (3 papers), Software Engineering Research (3 papers) and Software Reliability and Analysis Research (2 papers). Steve Kommrusch collaborates with scholars based in United States, Sweden and Spain. Steve Kommrusch's co-authors include Martin Monperrus, Zimin Chen, Louis-Noël Pouchet, Michele Tufano, Denys Poshyvanyk, Juan Touriño and Gabriel Rodríguez and has published in prestigious journals such as IEEE Access and IEEE Transactions on Software Engineering.

In The Last Decade

Steve Kommrusch

5 papers receiving 326 citations

Hit Papers

SEQUENCER: Sequence-to-Sequence Learning for End-to-End P... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Steve Kommrusch
Moshi Wei Canada
Anil Koyuncu Luxembourg
Alexandru Marginean United Kingdom
Alex Gyori United States
Kisub Kim Singapore
Qiyi Tang China
Yong‐Rae Kwon South Korea
Zebao Gao United States
Moshi Wei Canada
Steve Kommrusch
Citations per year, relative to Steve Kommrusch Steve Kommrusch (= 1×) peers Moshi Wei

Countries citing papers authored by Steve Kommrusch

Since Specialization
Citations

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

Fields of papers citing papers by Steve Kommrusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Kommrusch

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

All Works

5 of 5 papers shown
1.
Kommrusch, Steve, Martin Monperrus, & Louis-Noël Pouchet. (2023). Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules. IEEE Transactions on Software Engineering. 49(7). 3771–3792. 3 indexed citations
2.
Chen, Zimin, Steve Kommrusch, & Martin Monperrus. (2022). Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. IEEE Transactions on Software Engineering. 49(1). 147–165. 79 indexed citations
3.
Kommrusch, Steve, et al.. (2021). Optimizing Coherence Traffic in Manycore Processors Using Closed-Form Caching/Home Agent Mappings. IEEE Access. 9. 28930–28945. 1 indexed citations
4.
Kommrusch, Steve. (2020). Self-Supervised Learning for Multi-Goal Grid World: Comparing Leela and Deep Q Network. 72–88. 1 indexed citations
5.
Chen, Zimin, Steve Kommrusch, Michele Tufano, et al.. (2019). SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair. IEEE Transactions on Software Engineering. 1–1. 244 indexed citations breakdown →

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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