Мартин Мирчев

400 citations
7 papers · 219 · 2 hit papers · h-index 3

Impact in

Papers in

    • Software Testing and Debugging Techniques 6
    • Software Reliability and Analysis Research 4
    • Security and Verification in Computing 1

Мартин Мирчев

5 papers receiving 218 citations

Мартин Мирчев's Hit Papers

Large Language Model guided Protocol Fuzzing 2024 · 74 citations
740+1+2Years since publication4080120

Peers

Мартин Мирчев
Comparison fields: 5 of 30
  • Software 112
  • Health Informatics 7
  • Information Systems 112
  • Signal Processing 45
  • Hardware and Architecture 19
Replace Aryaz Eghbali with:
Aryaz Eghbali Germany
Daoguang Zan China
Yuchao Huang China
Steve Kommrusch United States
Quanjun Zhang China
Van Nguyen Australia
Rangeet Pan United States
Moshi Wei Canada
Zoltán Porkoláb Hungary
Jiazhen Gu China
Мартин Мирчев relative to Aryaz Eghbali Germany Aryaz Eghbali's profile →
Citations per field
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Citations per year

Countries citing papers authored by Мартин Мирчев

Since Specialization
Citations

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

Fields of papers citing papers by Мартин Мирчев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Мартин Мирчев, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Мартин Мирчев Line = papers co-authored together Мартин Мирчев links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Automated Repair of Programs from Large Language Models
Hit paper breakdown →
2023137
2
Large Language Model guided Protocol Fuzzing
Hit paper breakdown →
202474
3 20235
4 20232
5 20251
6 20240
7 20250

About Мартин Мирчев

Мартин Мирчев is a scholar working on Software, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 7 papers that have together received 219 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (4 papers), Software Engineering Research (2 papers), Network Security and Intrusion Detection (1 paper), Software System Performance and Reliability (1 paper), Formal Methods in Verification (1 paper), Network Packet Processing and Optimization (1 paper) and Security and Verification in Computing (1 paper). The work is most often cited by research in Software (112 citations), Health Informatics (7 citations), Information Systems (112 citations), Signal Processing (45 citations) and Hardware and Architecture (19 citations). Мартин Мирчев has collaborated with scholars based in Singapore, China and Germany. Frequent co-authors include Abhik Roychoudhury, Shin Hwei Tan, Zhiyu Fan, Xiang Gao, Marcel Böhme, Ruijie Meng, Yannic Noller, Xiang Gao and Gregory J. Duck. Their work appears in journals such as IEEE Transactions on Software Engineering and National University of Singapore.

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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