Marcel Böhme

3.5k total citations · 4 hit papers
54 papers, 2.1k citations indexed

About

Marcel Böhme is a scholar working on Software, Information Systems and Signal Processing. According to data from OpenAlex, Marcel Böhme has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Software, 36 papers in Information Systems and 18 papers in Signal Processing. Recurrent topics in Marcel Böhme's work include Software Testing and Debugging Techniques (46 papers), Software Engineering Research (34 papers) and Software Reliability and Analysis Research (30 papers). Marcel Böhme is often cited by papers focused on Software Testing and Debugging Techniques (46 papers), Software Engineering Research (34 papers) and Software Reliability and Analysis Research (30 papers). Marcel Böhme collaborates with scholars based in Germany, Australia and Singapore. Marcel Böhme's co-authors include Abhik Roychoudhury, Van-Thuan Pham, Manh-Dung Nguyen, Soumya Paul, Sang Kil, Andreas Zeller, Xiaogang Zhu, Bruno C. d. S. Oliveira, Zhen Dong and László Szekeres and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and ACM SIGPLAN Notices.

In The Last Decade

Marcel Böhme

50 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Directed Greybox Fuzzing

2017 443 citations Marcel Böhme, Van-Thuan Pham et al. profile →
Coverage-based Greybox Fuzzing as Markov Chain

2016 388 citations Marcel Böhme, Van-Thuan Pham et al. profile →
Coverage-Based Greybox Fuzzing as Markov Chain

2017 237 citations Marcel Böhme, Van-Thuan Pham et al. IEEE Transactions on Software Engineering profile →
Large Language Model guided Protocol Fuzzing

2024 68 citations Marcel Böhme, Abhik Roychoudhury et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcel Böhme Germany	20	1.7k	1.0k	981	499	282	54	2.1k
Van-Thuan Pham Australia	9	1.1k 0.6×	759 0.7×	513 0.5×	355 0.7×	190 0.7×	19	1.4k
Yulei Sui Australia	27	1.1k 0.6×	1.0k 1.0×	1.3k 1.3×	1.0k 2.0×	580 2.1×	120	2.3k
Ting Su China	21	962 0.6×	793 0.8×	843 0.9×	369 0.7×	265 0.9×	57	1.6k
Bihuan Chen China	20	865 0.5×	661 0.6×	1.0k 1.1×	492 1.0×	464 1.6×	77	1.6k
Vu Le United States	16	922 0.6×	256 0.3×	760 0.8×	426 0.9×	259 0.9×	43	1.4k
Joshua Garcia United States	24	725 0.4×	566 0.6×	1.3k 1.3×	782 1.6×	1.0k 3.5×	62	1.8k
Eric Eide United States	17	1.1k 0.7×	407 0.4×	1.0k 1.0×	631 1.3×	820 2.9×	49	2.2k
Yu Lei United States	24	2.2k 1.3×	265 0.3×	1.0k 1.0×	359 0.7×	465 1.6×	114	2.6k
Yepang Liu China	23	704 0.4×	659 0.6×	941 1.0×	326 0.7×	648 2.3×	94	1.7k
Leonardo Mariani Italy	23	1.4k 0.8×	259 0.3×	1.3k 1.3×	556 1.1×	841 3.0×	135	2.1k

Countries citing papers authored by Marcel Böhme

Since Specialization

Citations

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

Fields of papers citing papers by Marcel Böhme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Böhme

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Jing, et al.. (2025). Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection. Proceedings of the ACM on software engineering.. 2(ISSTA). 388–410. 1 indexed citations

2.

Pham, Van-Thuan, et al.. (2025). AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing. IEEE Transactions on Software Engineering. 51(4). 960–974.

3.

Turhan, Burak, et al.. (2024). On the Impact of Lower Recall and Precision in Defect Prediction for Guiding Search-based Software Testing. ACM Transactions on Software Engineering and Methodology. 33(6). 1–27. 2 indexed citations

4.

Barthe, Gilles, Marcel Böhme, Chitchanok Chuengsatiansup, et al.. (2024). Testing Side-channel Security of Cryptographic Implementations against Future Microarchitectures. Radboud Repository (Radboud University). 1076–1090. 1 indexed citations

5.

Böhme, Marcel, et al.. (2024). Large Language Model guided Protocol Fuzzing. 68 indexed citations breakdown →

6.

Lee, Seongmin, et al.. (2024). Extrapolating Coverage Rate in Greybox Fuzzing. Monash University Research Portal (Monash University). 1–12.

7.

Böhme, Marcel, et al.. (2023). Human-in-the-Loop Automatic Program Repair. IEEE Transactions on Software Engineering. 49(10). 4526–4549. 2 indexed citations

8.

Barr, Earl T., et al.. (2023). Precise Data-Driven Approximation for Program Analysis via Fuzzing. 8. 611–623. 1 indexed citations

9.

Türkmen, Fatih, et al.. (2023). Continuous Fuzzing: A Study of the Effectiveness and Scalability of Fuzzing in CI/CD Pipelines. University of Groningen research database (University of Groningen / Centre for Information Technology). 25–32. 10 indexed citations

10.

Kacianka, Severin, et al.. (2023). Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction. Figshare. 127–139. 2 indexed citations

11.

Aleti, Aldeida, et al.. (2022). An Experimental Assessment of Using Theoretical Defect Predictors to Guide Search-Based Software Testing. IEEE Transactions on Software Engineering. 49(1). 131–146. 8 indexed citations

12.

Bănescu, Sebastian, et al.. (2022). FuzzTastic. 75–79. 4 indexed citations

13.

Böhme, Marcel, et al.. (2022). On the reliability of coverage-based fuzzer benchmarking. 1621–1633. 49 indexed citations

14.

Bănescu, Sebastian, et al.. (2022). FuzzTastic: A Fine-grained, Fuzzer-agnostic Coverage Analyzer. Figshare. 146. 75–79. 1 indexed citations

15.

Dong, Zhen, et al.. (2020). Time-travel testing of Android apps. National University of Singapore. 481–492. 74 indexed citations

16.

Noller, Yannic, et al.. (2020). HyDiff. Research Explorer (The University of Manchester). 1273–1285. 22 indexed citations

17.

Böhme, Marcel. (2018). STADS. ACM Transactions on Software Engineering and Methodology. 27(2). 1–52. 31 indexed citations

18.

Böhme, Marcel & Soumya Paul. (2014). On the efficiency of automated testing. 632–642. 12 indexed citations

19.

Böhme, Marcel. (2012). Software regression as change of input partitioning. International Conference on Software Engineering. 1523–1526. 1 indexed citations

20.

Böhme, Marcel. (2012). Software regression as change of input partitioning. 1523–1526. 1 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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