Jan Pachl

1.1k citations
40 papers · 541 · h-index 13

Impact in

Papers in

Jan Pachl

36 papers receiving 475 citations

Peers

Jan Pachl
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 215
  • Mathematical Physics 110
  • Computer Networks and Communications 249
  • Hardware and Architecture 62
  • Geometry and Topology 61
Replace Anant P. Godbole with:
Anant P. Godbole United States
Jean Goubault-Larrecq France
Éric Goubault France
B. F. Caviness United States
Michel Schellekens Ireland
Philippe Delsarte Belgium
Joan P. Hutchinson United States
Stasys Jukna Germany
Thorsten Theobald Germany
Laurence Boxer United States
Jan Pachl relative to Anant P. Godbole United States Anant P. Godbole's profile →
Citations per field
00.5×9.6×
Anant P. Godbole · 1×
Citations per year

Countries citing papers authored by Jan Pachl

Since Specialization
Citations

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

Fields of papers citing papers by Jan Pachl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jan Pachl, 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 Jan Pachl Line = papers co-authored together Jan Pachl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989111
2 198965
3 200250
4 198445
5
Protocol Description and Analysis Based on a State Transition Model with Channel Expressions
198736
6 197932
7 197832
8 200221
9
A Technique for Proving Lower Bounds for Distributed Maximum-Finding Algorithms
198218
10 201216
11 197914
12 199212
13 199412
14 198710
15 19829
16 19879
17 19847
18 19815
19 19825
20 19934

About Jan Pachl

Jan Pachl is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Mathematical Physics, Artificial Intelligence and Geometry and Topology, having authored 40 papers that have together received 541 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (11 papers), Advanced Banach Space Theory (7 papers), Advanced Topology and Set Theory (6 papers), Complexity and Algorithms in Graphs (5 papers), Optimization and Search Problems (4 papers), DNA and Biological Computing (4 papers), Cellular Automata and Applications (3 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (215 citations), Mathematical Physics (110 citations), Computer Networks and Communications (249 citations), Hardware and Architecture (62 citations) and Geometry and Topology (61 citations). Jan Pachl has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include J. Burns, Ephraim Korach, Karel Čulík, Doron Rotem, Sheng Yü, Jan Hendl, Martin Balík, Stephen Cook, Irwin S. Pressman and Sanjay Radia. Their work appears in journals such as Distributed Computing, Proceedings of the American Mathematical Society, Annales de l’institut Fourier, Journal of the ACM and Theory of Computing Systems.

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.

Explore authors with similar magnitude of impact