Chris Johnson

110 papers receiving 1.0k citations

Peers

Chris Johnson
Comparison fields: 5 of 134
  • Radiological and Ultrasound Technology 127
  • Medical Laboratory Technology 33
  • Statistics, Probability and Uncertainty 135
  • Computer Science Applications 96
  • Software 58
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Alex Kirlik United States
Maarten Sierhuis United States
Paul Curzon United Kingdom
Tibor Bosse Netherlands
Michael D. McNeese United States
Philippe Palanque France
Debra G. Jones United States
Deborah A. Boehm‐Davis United States
Xinyi Zhou China
Frank L. Greitzer United States
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Citations per field
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Citations per year

Countries citing papers authored by Chris Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Chris Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 200353
3 200552
4 201447
5 200337
6 201331
7 201029
8 200128
9 201426
10 201225
11 201724
12 200724
13 201622
14 202221
15 200319
16 201519
17 201819
18 200119
19 201618
20 201517

About Chris Johnson

Chris Johnson is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Social Psychology, Safety, Risk, Reliability and Quality and Radiological and Ultrasound Technology, having authored 124 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information and Cyber Security (17 papers), Risk and Safety Analysis (17 papers), Human-Automation Interaction and Safety (13 papers), Occupational Health and Safety Research (13 papers), Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers), Teaching and Learning Programming (8 papers) and Safety Systems Engineering in Autonomy (8 papers). The work is most often cited by research in Radiological and Ultrasound Technology (127 citations), Medical Laboratory Technology (33 citations), Statistics, Probability and Uncertainty (135 citations), Computer Science Applications (96 citations) and Software (58 citations). Chris Johnson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include C. Michael Holloway, Ying He, Angela Carbone, Judy Sheard, Yu Lu, Tingdi Zhao, Alice Miller, Teddy Mantoro, Helen Farley and Angela Murphy. Their work appears in journals such as Safety Science, Cognition Technology & Work, Interacting with Computers, International Journal of Human-Computer Studies and Reliability Engineering & System Safety.

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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