Oliver Johnson

70 papers receiving 1.0k citations

Peers

Oliver Johnson
Comparison fields: 5 of 111
  • Statistics and Probability 186
  • Statistical and Nonlinear Physics 178
  • Applied Mathematics 144
  • Infectious Diseases 190
  • Discrete Mathematics and Combinatorics 32
Replace Ronald Meester with:
Ronald Meester Netherlands
Federico Bassetti Italy
Matthias Birkner Germany
Nisheeth K. Vishnoi United States
Heather J. Ruskin Ireland
Anru R. Zhang United States
D. J. H. Garling United States
Xiaoping Xue China
J. P. LaSalle United States
Anders Martin‐Löf Sweden
Oliver Johnson relative to Ronald Meester Netherlands Ronald Meester's profile →
Citations per field
00.5×5×11.9×
Ronald Meester · 1×
Citations per year

Countries citing papers authored by Oliver Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004175
2 2019103
3 201484
4 200470
5 201953
6 200650
7 197333
8 201930
9 201128
10
Proceedings of the 2017 IEEE International Symposium on Information Theory (ISIT)
201727
11 201025
12 199123
13 201023
14 200723
15 201022
16 200722
17 200620
18 200516
19 201116
20 201516

About Oliver Johnson

Oliver Johnson is a scholar working on Artificial Intelligence, Statistics and Probability, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (11 papers), Wireless Communication Security Techniques (11 papers), Random Matrices and Applications (9 papers), Markov Chains and Monte Carlo Methods (8 papers), Electron and X-Ray Spectroscopy Techniques (7 papers), SARS-CoV-2 detection and testing (7 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Point processes and geometric inequalities (6 papers). The work is most often cited by research in Statistics and Probability (186 citations), Statistical and Nonlinear Physics (178 citations), Applied Mathematics (144 citations), Infectious Diseases (190 citations) and Discrete Mathematics and Combinatorics (32 citations). Oliver Johnson has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Matthew Aldridge, Jonathan Scarlett, Ioannis Kontoyiannis, Leonardo Baldassini, Mokshay Madiman, Bogdan Warinschi, Peter Harremoës, Saikat Guha, Michael J. O. Pocock and Yaming Yu. Their work appears in journals such as Bulletin of the Chemical Society of Japan, IEEE Transactions on Information Theory, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Applied Probability and Electronic Journal of Probability.

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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