Pascal Ochem

991 citations
88 papers · 590 · h-index 14

Impact in

Papers in

Pascal Ochem

79 papers receiving 560 citations

Peers

Pascal Ochem
Comparison fields: 5 of 13
  • Computational Theory and Mathematics 537
  • Algebra and Number Theory 31
  • Discrete Mathematics and Combinatorics 28
  • Theoretical Computer Science 3
  • Artificial Intelligence 23
Replace Michaël Rao with:
Michaël Rao France
Narad Rampersad Canada
Jacques Justin France
Anna E. Frid Russia
Gwénaël Richomme France
Giovanni Panti Italy
James D. Currie Canada
Radomír Halaš Czechia
R. McFadden United States
Srikanth Srinivasan India
Pascal Ochem relative to Michaël Rao France Michaël Rao's profile →
Citations per field
00.5×1.5×1.9×
Michaël Rao · 1×
Citations per year

Countries citing papers authored by Pascal Ochem

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Ochem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200641
2 200933
3 200528
4 201527
5 201224
6 201620
7 200919
8 201119
9 200418
10 201218
11 200517
12 200515
13 200814
14 201414
15 201312
16 200311
17 200811
18 200811
19 201311
20 200610

About Pascal Ochem

Pascal Ochem is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Discrete Mathematics and Combinatorics, Artificial Intelligence and Nuclear Energy and Engineering, having authored 88 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (45 papers), semigroups and automata theory (37 papers), Graph Labeling and Dimension Problems (4 papers), Analytic Number Theory Research (4 papers), Algorithms and Data Compression (1 paper) and Limits and Structures in Graph Theory (1 paper). The work is most often cited by research in Computational Theory and Mathematics (537 citations), Algebra and Number Theory (31 citations), Discrete Mathematics and Combinatorics (28 citations), Theoretical Computer Science (3 citations) and Artificial Intelligence (23 citations). Pascal Ochem has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Mickaël Montassier, Alexandre Pinlou, Louis Esperet, André Raspaud B, Michaël Rao, Daniel Gonçalves, Jeffrey O. Shallit, Oleg Veniaminovich Borodin, Anna O. Ivanova and Jérémie Chalopin. Their work appears in journals such as The Electronic Journal of Combinatorics, Theoretical Computer Science, Journal of Graph Theory, Discrete Mathematics and Discrete Applied Mathematics.

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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