Andre Scedrov

5.7k citations
168 papers · 4.0k · h-index 31

Impact in

Papers in

Andre Scedrov

158 papers receiving 3.6k citations

Peers

Andre Scedrov
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 1.9k
  • Artificial Intelligence 3.3k
  • Computer Networks and Communications 1.5k
  • Information Systems 903
  • Software 105
Replace Mariangiola Dezani-Ciancaglini with:
Mariangiola Dezani-Ciancaglini Italy
Gérard Huet France
Andrew M. Pitts United Kingdom
Jean-Pierre Jouannaud France
Georges Gonthier France
Lawrence C. Paulson United Kingdom
David R. Musser United States
Albert R. Meyer United States
Eugenio Moggi Italy
Davide Sangiorgi Italy
Andre Scedrov relative to Mariangiola Dezani-Ciancaglini Italy Mariangiola Dezani-Ciancaglini's profile →
Citations per field
00.5×1.5×2.4×
Mariangiola Dezani-Ciancaglini · 1×
Citations per year

Countries citing papers authored by Andre Scedrov

Since Specialization
Citations

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

Fields of papers citing papers by Andre Scedrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andre Scedrov, 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 Andre Scedrov Line = papers co-authored together Andre Scedrov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991413
2 1990191
3 1998171
4 1992164
5 1992157
6 2003155
7 1991146
8 1994137
9 1990129
10 2004120
11 2003102
12 200568
13 199963
14 200162
15 200262
16 200561
17 200757
18 200155
19 198852
20 199346

About Andre Scedrov

Andre Scedrov is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Geometry and Topology, having authored 168 papers that have together received 4.0k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (64 papers), Logic, programming, and type systems (58 papers), Formal Methods in Verification (45 papers), Advanced Authentication Protocols Security (38 papers), Cryptography and Data Security (29 papers), User Authentication and Security Systems (28 papers), Advanced Algebra and Logic (20 papers) and Computability, Logic, AI Algorithms (19 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Artificial Intelligence (3.3k citations), Computer Networks and Communications (1.5k citations), Information Systems (903 citations) and Software (105 citations). Andre Scedrov has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include John C. Mitchell, Patrick Lincoln, Iliano Cervesato, Philip Scott, Dale Miller, Gopalan Nadathur, Frank Pfenning, Jean-Yves Girard, Nancy Durgin and Murray Mitchell. Their work appears in journals such as Annals of Pure and Applied Logic, Theoretical Computer Science, Information and Computation, Journal of Computer Security 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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