R. V. Brown

459 total citations
10 papers, 298 citations indexed

About

R. V. Brown is a scholar working on Sociology and Political Science, Artificial Intelligence and General Decision Sciences. According to data from OpenAlex, R. V. Brown has authored 10 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Artificial Intelligence and 2 papers in General Decision Sciences. Recurrent topics in R. V. Brown's work include Bayesian Modeling and Causal Inference (2 papers), Decision-Making and Behavioral Economics (2 papers) and Military Strategy and Technology (1 paper). R. V. Brown is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Decision-Making and Behavioral Economics (2 papers) and Military Strategy and Technology (1 paper). R. V. Brown collaborates with scholars based in United States, United Kingdom and Australia. R. V. Brown's co-authors include D. V. Lindley, Amos Tversky, Stephen R. Watson, Jacob W. Ulvila, Oleg I. Larichev, Gary L. Lilien, M L Nicholson, Raaj Praseedom and Anthony A. Donato and has published in prestigious journals such as Journal of Investigative Medicine, Theory and Decision and Journal of Business-to-Business Marketing.

In The Last Decade

R. V. Brown

10 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R. V. Brown United States	6	144	125	93	49	48	10	298
Peter G�rdenfors Sweden	6	79 0.5×	167 1.3×	128 1.4×	77 1.6×	22 0.5×	8	350
W. A. Ericson United States	9	104 0.7×	101 0.8×	20 0.2×	84 1.7×	233 4.9×	16	485
Alfio Giarlotta Italy	11	168 1.2×	74 0.6×	106 1.1×	106 2.2×	44 0.9×	39	361
Günter Menges Germany	6	66 0.5×	42 0.3×	17 0.2×	72 1.5×	47 1.0×	38	245
Andrés Perea Netherlands	13	327 2.3×	90 0.7×	63 0.7×	241 4.9×	12 0.3×	44	455
F. J. Girón Spain	13	93 0.6×	216 1.7×	25 0.3×	61 1.2×	334 7.0×	37	493
Chad Barrett United Kingdom	7	215 1.5×	62 0.5×	39 0.4×	124 2.5×	77 1.6×	12	293
Heinz J. Skala Germany	9	112 0.8×	71 0.6×	31 0.3×	45 0.9×	36 0.8×	20	222
Ghanshyam B. Mehta Australia	13	120 0.8×	52 0.4×	102 1.1×	253 5.2×	34 0.7×	50	512
Yashaswini Mittal United States	7	69 0.5×	53 0.4×	6 0.1×	39 0.8×	87 1.8×	10	312

Countries citing papers authored by R. V. Brown

Since Specialization

Citations

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

Fields of papers citing papers by R. V. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. V. Brown. 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 R. V. Brown. The network helps show where R. V. Brown may publish in the future.

Co-authorship network of co-authors of R. V. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of R. V. Brown. A scholar is included among the top collaborators of R. V. Brown 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 R. V. Brown. R. V. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Brown, R. V., et al.. (2021). Exposure to and training in the control of major intraoperative haemorrhage: a survey of surgical trainees. Bulletin of The Royal College of Surgeons of England. 103(1). 28–31. 1 indexed citations

2.

Brown, R. V., et al.. (2005). Effect of Medical Education and Life Experiences on the Cultural Competence of Physicians. Journal of Investigative Medicine. 53(1_part_5). 313–313. 1 indexed citations

3.

Larichev, Oleg I., et al.. (1995). Complexity and uncertainty in arctic resource decisions: The example of the Yamal pipeline. Polar Geography. 19(1). 22–35. 9 indexed citations

4.

Brown, R. V., Gary L. Lilien, & Jacob W. Ulvila. (1993). New Methods for Estimating Business Markets. Journal of Business-to-Business Marketing. 1(2). 33–65. 4 indexed citations

5.

Brown, R. V. & D. V. Lindley. (1982). Improving judgment by reconciling incoherence. Theory and Decision. 14(2). 113–132. 15 indexed citations

6.

Lindley, D. V., Amos Tversky, & R. V. Brown. (1979). On the Reconciliation of Probability Assessments. Journal of the Royal Statistical Society Series A (General). 142(2). 146–146. 215 indexed citations

7.

Watson, Stephen R. & R. V. Brown. (1978). The Valuation of Decision Analysis. Journal of the Royal Statistical Society Series A (General). 141(1). 69–69. 38 indexed citations

8.

Brown, R. V. & Stephen R. Watson. (1977). Pre-testing innovation: Methodology for testing the design of management systems. Theory and Decision. 8(4). 315–336. 4 indexed citations

9.

Watson, Stephen R. & R. V. Brown. (1975). Issues in the Value of Decision Analysis.. 5 indexed citations

10.

Brown, R. V., et al.. (1974). Decision Analysis as an Element in an Operational Decision Aiding System.. 6 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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