John Erickson

41 papers receiving 629 citations

Peers

John Erickson
Comparison fields: 5 of 106
  • Management Information Systems 108
  • Software 32
  • Information Systems 143
  • Catalysis 42
  • Information Systems and Management 38
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Yujia Qin China
Anand Natrajan United States
Karl E. Wiegers United States
Stefan Grüner Germany
Ming‐Chang Lee Taiwan
Nobutada Fujii Japan
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Citations per year

Countries citing papers authored by John Erickson

Since Specialization
Citations

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

Fields of papers citing papers by John Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988144
2 199086
3 200861
4 200441
5 198441
6 201036
7 200736
8
Measuring Method Complexity: UML versus BPMN
200934
9 200533
10
Can UML be simplified? Practitioner use of UML in separate domains
200721
11 201418
12 200317
13
Experiments with a self-correcting wind tunnel
197613
14 202211
15 198810
16
Critical Success Factors in SOA Implementation
20089
17 19909
18 19717
19 20227
20
Uncovering bugs in distributed storage systems during testing (not in production
20166

About John Erickson

John Erickson is a scholar working on Aerospace Engineering, Computational Mechanics, Information Systems, Biomedical Engineering and Artificial Intelligence, having authored 46 papers that have together received 708 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (9 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Aerodynamics and Acoustics in Jet Flows (6 papers), Wind and Air Flow Studies (4 papers), Advanced Software Engineering Methodologies (3 papers), Software Engineering Research (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Management Information Systems (108 citations), Software (32 citations), Information Systems (143 citations), Catalysis (42 citations) and Information Systems and Management (38 citations). John Erickson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Keng Siau, Charles L. Cooney, Sanat K. Kumar, Philippe G. Schyns, Fiona Fui‐Hoon Nah, Sang M. Lee, Silvana Trimi, David L. Olson, Mark Gibbs and Thomas C. Greenough. Their work appears in journals such as Journal of the Association for Information Systems, Biotechnology and Bioengineering, Journal of Database Management, Journal of Aircraft and AIAA Journal.

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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