J.E.V. Johnson

2.2k total citations
90 papers, 1.5k citations indexed

About

J.E.V. Johnson is a scholar working on Economics and Econometrics, Clinical Psychology and Marketing. According to data from OpenAlex, J.E.V. Johnson has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Economics and Econometrics, 26 papers in Clinical Psychology and 23 papers in Marketing. Recurrent topics in J.E.V. Johnson's work include Sports Analytics and Performance (48 papers), Gambling Behavior and Treatments (26 papers) and Consumer Market Behavior and Pricing (22 papers). J.E.V. Johnson is often cited by papers focused on Sports Analytics and Performance (48 papers), Gambling Behavior and Treatments (26 papers) and Consumer Market Behavior and Pricing (22 papers). J.E.V. Johnson collaborates with scholars based in United Kingdom, Germany and United States. J.E.V. Johnson's 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 and has published in prestigious journals such as Management Science, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

J.E.V. Johnson

85 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J.E.V. Johnson	603	317	308	298	202	90	1.5k
Cary Deck	785 1.3×	410 1.3×	165 0.5×	175 0.6×	233 1.2×	125	1.8k
Michael Bailey	440 0.7×	140 0.4×	248 0.8×	233 0.8×	103 0.5×	28	1.6k
Donald A. Wehrung	300 0.5×	229 0.7×	369 1.2×	142 0.5×	163 0.8×	22	1.7k
Ernan Haruvy	903 1.5×	816 2.6×	188 0.6×	500 1.7×	509 2.5×	118	2.6k
Uwe Dulleck	425 0.7×	133 0.4×	95 0.3×	69 0.2×	188 0.9×	102	1.4k
Mei Wang	639 1.1×	121 0.4×	292 0.9×	350 1.2×	60 0.3×	68	1.4k
James H. Myers	235 0.4×	218 0.7×	136 0.4×	91 0.3×	634 3.1×	45	1.7k
Liang Guo	339 0.6×	517 1.6×	125 0.4×	83 0.3×	899 4.5×	94	2.1k
Sudipta Sarangi	815 1.4×	309 1.0×	310 1.0×	58 0.2×	64 0.3×	118	1.6k
Margaret G. Meloy	345 0.6×	152 0.5×	110 0.4×	44 0.1×	829 4.1×	36	2.3k

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-authorship network of co-authors of J.E.V. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of J.E.V. Johnson. A scholar is included among the top collaborators of J.E.V. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.E.V. Johnson. J.E.V. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sung, Ming‐Chien, et al.. (2023). Herding Behavior in Prediction Markets: Evidence from UK Financial Spread-Trading Markets. ePrints Soton (University of Southampton). 17(1). 39–83.

Scheinbaum, Angeline Close, et al.. (2022). Differential Effects of Device Modalities and Exposure to Online Reviews on Online Purchasing: A Field Study. Journal of Advertising. 51(4). 430–439. 6 indexed citations

Yang, Yaodong, et al.. (2019). Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. European Journal of Operational Research. 283(1). 217–234. 87 indexed citations

Sung, Ming‐Chien, et al.. (2019). To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market. European Journal of Operational Research. 278(1). 226–239. 6 indexed citations

Sung, Ming‐Chien, et al.. (2018). Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements. European Journal of Operational Research. 272(1). 389–405. 10 indexed citations

Hsu, Ming‐Wei, Stefan Lessmann, Ming‐Chien Sung, Tiejun Ma, & J.E.V. Johnson. (2016). Bridging the divide in financial market forecasting: machine learners vs. financial economists. Expert Systems with Applications. 61. 215–234. 140 indexed citations

Dawson, Ian, J.E.V. Johnson, & Michelle Luke. (2011). Subjective judgements of synergistic risks: A cognitive reasoning perspective. British Journal of Psychology. 103(2). 203–223. 7 indexed citations

Dawson, Ian, J.E.V. Johnson, & Michelle Luke. (2011). Do People Believe Combined Hazards Can Present Synergistic Risks?. Risk Analysis. 32(5). 801–815. 9 indexed citations

Ojiako, Udechukwu, J.E.V. Johnson, Maxwell Chipulu, & Alasdair Marshall. (2010). Unconventional competition – drawing lessons from the military. Prometheus. 28(4). 7 indexed citations

10.

Johnson, J.E.V. & Alistair Bruce. (2008). Decisions: Risk and Reward. 2 indexed citations

11.

Dale, Richard, et al.. (2007). Pitfalls in the quest for South Sea rationality. The Economic History Review. 60(4). 766–772. 2 indexed citations

12.

Sung, Ming‐Chien & J.E.V. Johnson. (2006). Revealing weak form inefficiency in a market for state contingent claims. ePrints Soton (University of Southampton). 3 indexed citations

13.

Johnson, J.E.V., et al.. (2006). Investigating the development of enterprise risk management in the insurance industry: an empirical study on four major European insurers. ResearchOnline. 14 indexed citations

14.

Johnson, J.E.V., et al.. (2006). The impact of evolving and sporadically changing information on subjective probability judgements in a financial market. ePrints Soton (University of Southampton). 1 indexed citations

15.

Dale, Richard, et al.. (2005). Financial Markets Can Go Mad: Evidence of Irrational Behaviour during the South Sea Bubble. SSRN Electronic Journal. 6 indexed citations

16.

Johnson, J.E.V. & Alistair Bruce. (2001). Calibration of Subjective Probability Judgments in a Naturalistic Setting. Organizational Behavior and Human Decision Processes. 85(2). 265–290. 38 indexed citations

17.

Johnson, J.E.V. & Alistair Bruce. (1997). An Empirical Study of the Impact of Complexity on Participation in Horserace Betting. Journal of Gambling Studies. 13(2). 159–172. 10 indexed citations

18.

Johnson, J.E.V. & Alistair Bruce. (1994). Decision-making in a risky environment: the impact of complexity on participation and performance. ePrints Soton (University of Southampton). 411(21-22). 1662–5. 1 indexed citations

19.

Bruce, Alistair & J.E.V. Johnson. (1994). Male and female betting behaviour: New perspectives. Journal of Gambling Studies. 10(2). 183–198. 55 indexed citations

20.

Johnson, J.E.V.. (1990). Large Companies: Making Cooperation a Priority. Public relations journal. 46(4). 26. 2 indexed citations

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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