Julien Moncel

568 citations
22 papers · 222 · h-index 10

Impact in

Papers in

Julien Moncel

21 papers receiving 210 citations

Peers

Julien Moncel
Comparison fields: 5 of 35
  • Computational Theory and Mathematics 124
  • Computer Networks and Communications 130
  • Discrete Mathematics and Combinatorics 16
  • Artificial Intelligence 75
  • Electrical and Electronic Engineering 86
Replace Carme Àlvarez with:
Carme Àlvarez Spain
Ashish V. Naik United States
Jun Tarui Japan
Somnath Sikdar Germany
Sundar Vishwanathan India
Miki Hermann France
Yota Otachi Japan
Mathieu Liedloff France
Uéverton S. Souza Brazil
Daniel Augot France
Julien Moncel relative to Carme Àlvarez Spain Carme Àlvarez's profile →
Citations per field
00.5×6.5×
Carme Àlvarez · 1×
Citations per year

Countries citing papers authored by Julien Moncel

Since Specialization
Citations

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

Fields of papers citing papers by Julien Moncel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Julien Moncel, 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 Julien Moncel Line = papers co-authored together Julien Moncel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200528
2 200624
3 200521
4 200620
5 200615
6 200815
7 200413
8 200513
9 200612
10 201212
11 20139
12 20087
13 20126
14 20125
15 20165
16 20114
17 20063
18 20093
19 20063
20
On graphs admitting t-ID codes.
20082

About Julien Moncel

Julien Moncel is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering and Molecular Biology, having authored 22 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (10 papers), Coding theory and cryptography (9 papers), graph theory and CDMA systems (8 papers), Interconnection Networks and Systems (8 papers), DNA and Biological Computing (5 papers), Graph Labeling and Dimension Problems (4 papers), Optimization and Search Problems (3 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Computer Networks and Communications (130 citations), Discrete Mathematics and Combinatorics (16 citations), Artificial Intelligence (75 citations) and Electrical and Electronic Engineering (86 citations). Julien Moncel has collaborated with scholars based in France, Israel and Germany. Frequent co-authors include Sylvain Gravier, Miklós Ruszinkó, Ryan R. Martin, Clifford Smyth, Alan Frieze, Antoine Lobstein, Marc Daniel, Michel Mollard, Yael Ben‐Haim and Aline Parreau. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, The Electronic Journal of Combinatorics, Theoretical Computer Science and Designs Codes and Cryptography.

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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