Jeff Johnson

131 papers receiving 1.7k citations

Peers

Jeff Johnson
Comparison fields: 5 of 155
  • Statistical and Nonlinear Physics 167
  • Nature and Landscape Conservation 128
  • Computer Science Applications 64
  • Management Science and Operations Research 173
  • Artificial Intelligence 319
Replace Seth Bullock with:
Seth Bullock United Kingdom
Carlos Gershenson Mexico
Stephen M. V. Hailes United Kingdom
David J. Sheskin United States
Peter Kroes Netherlands
Tore Opsahl United Kingdom
Kevin B. Korb Australia
Pieter E. Vermaas Netherlands
David Crandall United States
Lakhmi C. Jain Australia
Jeff Johnson relative to Seth Bullock United Kingdom Seth Bullock's profile →
Citations per field
00.5×2×4×6×8×
Seth Bullock · 1×
Citations per year

Countries citing papers authored by Jeff Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992266
2 2003153
3 2009106
4 200375
5 201273
6 201172
7 200962
8 200750
9 198148
10 200547
11 200533
12 200032
13 202032
14 201531
15
Artificial intelligence in mathematics
199428
16 200024
17 201024
18 200623
19 201123
20 200721

About Jeff Johnson

Jeff Johnson is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 147 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Systems and Dynamics (25 papers), Complex Systems and Decision Making (18 papers), Design Education and Practice (12 papers), Multi-Agent Systems and Negotiation (10 papers), Complex Network Analysis Techniques (10 papers), Systems Engineering Methodologies and Applications (9 papers), Educational Robotics and Engineering (8 papers) and Urban Design and Spatial Analysis (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (167 citations), Nature and Landscape Conservation (128 citations), Computer Science Applications (64 citations), Management Science and Operations Research (173 citations) and Artificial Intelligence (319 citations). Jeff Johnson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include JONATHAN W. SILVERTOWN, Katerina Alexiou, Sam J. Gilbert, Theodore Zamenopoulos, Elizabeth I Sklar, Amy Eguchi, Claudia Margot Eckert, Marian Petre, Chris Earl and Helen Sharp. Their work appears in journals such as Environment and Planning B Planning and Design, The European Physical Journal Special Topics, Environmental Science & Technology, Communications of the ACM and Design Studies.

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