S. Debray

988 citations
21 papers · 739 · h-index 12

Impact in

Papers in

S. Debray

20 papers receiving 664 citations

Peers

S. Debray
Comparison fields: 5 of 35
  • Software 207
  • Signal Processing 385
  • Hardware and Architecture 148
  • Artificial Intelligence 504
  • Information Systems 264
Replace Nurit Dor with:
Nurit Dor Israel
Yoav Zibin Israel
Sébastien Bardin France
Haogang Chen China
Uday P. Khedker India
Domagoj Babić Canada
Michael Stepp United States
Ravi Chugh United States
Kihong Heo South Korea
Rakesh Ghiya Canada
S. Debray relative to Nurit Dor Israel Nurit Dor's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Debray

Since Specialization
Citations

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

Fields of papers citing papers by S. Debray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside S. Debray, 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 S. Debray Line = papers co-authored together S. Debray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003139
2 2006138
3 2004111
4 199298
5 199660
6
Protecting against unexpected system calls
200537
7 198830
8 199429
9 200417
10 199416
11 198816
12 198812
13 19908
14 20047
15 20047
16 20056
17 20054
18
Increasing undergraduate involvement in computer science research
20052
19 20241
20
Transformationbased implementation and optimization of programs exploiting the basic Andorra model.
19951

About S. Debray

S. Debray is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Software and Signal Processing, having authored 21 papers that have together received 739 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), Software Engineering Research (7 papers), Formal Methods in Verification (7 papers), Software Testing and Debugging Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers), Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (5 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Software (207 citations), Signal Processing (385 citations), Hardware and Architecture (148 citations), Artificial Intelligence (504 citations) and Information Systems (264 citations). S. Debray has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Manuel V. Hermenegildo, Gregory R. Andrews, Matias Madou, Richard Warren, Christian Collberg, John Kececioglu, Michael Stepp, Pedro López-García, Nai-Wei Lin and Mohan Rajagopalan. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Software Engineering, Cognition, The Journal of Logic Programming and Lecture notes in computer science.

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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