John M. Gandar

49 total papers · 1.0k total citations
40 papers, 736 citations indexed

About

John M. Gandar is a scholar working on Economics and Econometrics, Clinical Psychology and Finance. According to data from OpenAlex, John M. Gandar has authored 40 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Economics and Econometrics, 15 papers in Clinical Psychology and 11 papers in Finance. Recurrent topics in John M. Gandar's work include Sports Analytics and Performance (30 papers), Gambling Behavior and Treatments (15 papers) and Financial Markets and Investment Strategies (10 papers). John M. Gandar is often cited by papers focused on Sports Analytics and Performance (30 papers), Gambling Behavior and Treatments (15 papers) and Financial Markets and Investment Strategies (10 papers). John M. Gandar collaborates with scholars based in United States, South Korea and Taiwan. John M. Gandar's co-authors include Richard A. Zuber, William H. Dare, Reinhold P. Lamb, Thomas O’Brien, Craig A. Depken, Patrick Yiu, Thomas O’Brien, Dmitry Shapiro, Irvin B. Tucker and Louis H. Amato and has published in prestigious journals such as The Journal of Finance, Journal of Political Economy and Journal of Monetary Economics.

In The Last Decade

John M. Gandar

37 papers receiving 652 citations

Author Peers

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

Author						Papers	Cites
John M. Gandar	670	382	186	146	118	40	736
Richard A. Zuber	686 1.0×	366 1.0×	181 1.0×	139 1.0×	175 1.5×	27	763
Leighton Vaughan Williams	641 1.0×	408 1.1×	213 1.1×	199 1.4×	48 0.4×	52	747
Andrew P. Weinbach	781 1.2×	386 1.0×	131 0.7×	101 0.7×	343 2.9×	68	856
Earl L. Grinols	578 0.9×	222 0.6×	106 0.6×	42 0.3×	21 0.2×	56	864
Martin B. Schmidt	765 1.1×	96 0.3×	45 0.2×	73 0.5×	464 3.9×	50	847
E. Woodrow Eckard	651 1.0×	36 0.1×	91 0.5×	174 1.2×	199 1.7×	40	864
Sigrid Suetens	314 0.5×	51 0.1×	37 0.2×	72 0.5×	33 0.3×	46	810
Frédéric Palomino	383 0.6×	18 0.0×	280 1.5×	32 0.2×	97 0.8×	23	624
Jonathan Thomas	529 0.8×	21 0.1×	114 0.6×	34 0.2×	62 0.5×	21	754
William E. Even	487 0.7×	41 0.1×	33 0.2×	22 0.2×	173 1.5×	52	802

Countries citing papers authored by John M. Gandar

Since Specialization

Citations

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

Fields of papers citing papers by John M. Gandar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Gandar

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

All Works

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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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