J.E.V. Johnson

2.2k citations
90 papers · 1.6k · h-index 18

Impact in

Papers in

J.E.V. Johnson

85 papers receiving 1.5k citations

Peers

J.E.V. Johnson
Comparison fields: 5 of 126
  • General Decision Sciences 165
  • Finance 301
  • Accounting 309
  • Management Science and Operations Research 320
  • Economics and Econometrics 606
Replace Donald A. Wehrung with:
Donald A. Wehrung Canada
Uwe Dulleck Australia
Sudipta Sarangi United States
Corina Paraschiv France
Cary Deck United States
Liang Guo Hong Kong
Joel H. Steckel United States
Don N. Kleinmuntz United States
Margaret G. Meloy United States
James H. Myers United States
J.E.V. Johnson relative to Donald A. Wehrung Canada Donald A. Wehrung's profile →
Citations per field
00.5×5.9×
Donald A. Wehrung · 1×
Citations per year

Countries citing papers authored by J.E.V. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by J.E.V. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994328
2 2016144
3 2011127
4 201986
5 201956
6 199455
7 200550
8 199546
9 201039
10 200138
11 199230
12 201030
13 200028
14 200827
15 200621
16 201121
17 199618
18 199518
19 200817
20 201614

About J.E.V. Johnson

J.E.V. Johnson is a scholar working on Economics and Econometrics, Clinical Psychology, Marketing, Finance and General Decision Sciences, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sports Analytics and Performance (48 papers), Gambling Behavior and Treatments (26 papers), Consumer Market Behavior and Pricing (22 papers), Financial Markets and Investment Strategies (21 papers), Decision-Making and Behavioral Economics (20 papers), Forecasting Techniques and Applications (9 papers), Complex Systems and Time Series Analysis (8 papers) and Risk Perception and Management (8 papers). The work is most often cited by research in General Decision Sciences (165 citations), Finance (301 citations), Accounting (309 citations), Management Science and Operations Research (320 citations) and Economics and Econometrics (606 citations). J.E.V. Johnson has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Philip Powell, Ming‐Chien Sung, Alistair Bruce, Tiejun Ma, Stefan Lessmann, Jeremy Eng‐Tuck Cheah, Dima Jamali, Ming‐Wei Hsu, Ian Dawson and Richard Dale. Their work appears in journals such as European Journal of Operational Research, Risk Analysis, Economics Letters, Journal of Behavioral Decision Making and European Journal of Finance.

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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