Johan Jonasson

904 citations
48 papers · 425 · h-index 13

Impact in

Papers in

Johan Jonasson

47 papers receiving 388 citations

Peers

Johan Jonasson
Comparison fields: 5 of 63
  • Mathematical Physics 235
  • Statistics and Probability 193
  • Condensed Matter Physics 101
  • Geometry and Topology 61
  • Discrete Mathematics and Combinatorics 21
Replace Gady Kozma with:
Gady Kozma Israel
Pietro Caputo Italy
Nicolas Broutin France
Peter Mörters United Kingdom
Uwe Rösler Germany
Christina Goldschmidt United Kingdom
Jeffrey E. Steif Sweden
Ralph Neininger Germany
Noam Berger United States
Dror Weitz United States
Johan Jonasson relative to Gady Kozma Israel Gady Kozma's profile →
Citations per field
00.5×1.5×
Gady Kozma · 1×
Citations per year

Countries citing papers authored by Johan Jonasson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Jonasson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Johan Jonasson, 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 Johan Jonasson Line = papers co-authored together Johan Jonasson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200238
2 200633
3 200232
4 199828
5 199927
6 199925
7 200022
8 199920
9 199917
10 199813
11 200113
12 201213
13 199712
14 200812
15 200611
16 202211
17 20089
18 20008
19 20018
20 19987

About Johan Jonasson

Johan Jonasson is a scholar working on Mathematical Physics, Statistics and Probability, Artificial Intelligence, Condensed Matter Physics and Discrete Mathematics and Combinatorics, having authored 48 papers that have together received 425 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (26 papers), Markov Chains and Monte Carlo Methods (16 papers), Theoretical and Computational Physics (11 papers), Limits and Structures in Graph Theory (7 papers), Complex Network Analysis Techniques (6 papers), Mathematical Dynamics and Fractals (6 papers), Machine Learning and Algorithms (5 papers) and Random Matrices and Applications (5 papers). The work is most often cited by research in Mathematical Physics (235 citations), Statistics and Probability (193 citations), Condensed Matter Physics (101 citations), Geometry and Topology (61 citations) and Discrete Mathematics and Combinatorics (21 citations). Johan Jonasson has collaborated with scholars based in Sweden, United States and Israel. Frequent co-authors include Olle Häggström, Jeffrey E. Steif, Russell Lyons, Oded Schramm, Petter Brändén, Devdatt Dubhashi, Desh Ranjan, Jacob van den Berg, Yuval Peres and Lisa Sundqvist. Their work appears in journals such as Journal of Applied Probability, Electronic Communications in Probability, Stochastic Processes and their Applications, The Annals of Probability and Random Structures and Algorithms.

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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