Jeff Johnson

140 papers receiving 1.7k citations

Peers

Jeff Johnson
Comparison fields: 5 of 184
  • Computer Science Applications 220
  • Management of Technology and Innovation 146
  • Experimental and Cognitive Psychology 179
  • Nature and Landscape Conservation 161
  • Management Science and Operations Research 151
Replace David J. Sheskin with:
David J. Sheskin United States
Peter Kroes Netherlands
Hideaki Takeda Japan
Johannes Schöning Germany
Stephen Hailes United Kingdom
Eric Klopfer United States
Gerald M. Weinberg United States
Alberto J. Cañas United States
Christian Janiesch Germany
Juval Portugali Israel
Jeff Johnson relative to David J. Sheskin United States David J. Sheskin's profile →
Citations per field
00.5×4.4×
David J. Sheskin · 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 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992269
2 2003150
3 2009106
4 200375
5 201169
6 201268
7 200959
8 200751
9 200549
10 198147
11 200338
12 200534
13 201531
14 200029
15
Artificial intelligence in mathematics
199428
16 200026
17 200625
18 201024
19 201322
20 200722

About Jeff Johnson

Jeff Johnson is a scholar working on Management Science and Operations Research, Mechanical Engineering, Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 152 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (21 papers), Design Education and Practice (18 papers), Complex Network Analysis Techniques (9 papers), Product Development and Customization (8 papers), Opinion Dynamics and Social Influence (6 papers), Topological and Geometric Data Analysis (6 papers), Urban Design and Spatial Analysis (5 papers) and Teaching and Learning Programming (5 papers). The work is most often cited by research in Computer Science Applications (220 citations), Management of Technology and Innovation (146 citations), Experimental and Cognitive Psychology (179 citations), Nature and Landscape Conservation (161 citations) and Management Science and Operations Research (151 citations). Jeff Johnson has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include P. S. Dale, Jonathan Silvertown, Theodore Zamenopoulos, Katerina Alexiou, Sam J. Gilbert, Elizabeth Sklar, Marian Petre, Amy Eguchi, Claudia Eckert and Chris Earl. Their work appears in journals such as Environment and Planning B Planning and Design, Environmental Science & Technology, The European Physical Journal Special Topics, Design Studies and Communications of the ACM.

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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