Maynard W. Shelly

47 total papers · 736 total citations
28 papers, 477 citations indexed

About

Maynard W. Shelly is a scholar working on Artificial Intelligence, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Maynard W. Shelly has authored 28 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Social Psychology and 3 papers in Management Science and Operations Research. Recurrent topics in Maynard W. Shelly's work include Neural Networks and Applications (2 papers), Complex Systems and Decision Making (2 papers) and Behavioral and Psychological Studies (2 papers). Maynard W. Shelly is often cited by papers focused on Neural Networks and Applications (2 papers), Complex Systems and Decision Making (2 papers) and Behavioral and Psychological Studies (2 papers). Maynard W. Shelly collaborates with scholars based in United States. Maynard W. Shelly's co-authors include Dorothy M. Gilford, Herbert E. Scarf, Leif Appelgren, W. W. Cooper, Joseph A. Litterer, Harold J. Leavitt, Paul E. Green, Edward Zabel, Andrew C. Stedry and David McConnell and has published in prestigious journals such as Journal of the American Statistical Association, American Sociological Review and Journal of Marketing Research.

In The Last Decade

Maynard W. Shelly

24 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Maynard W. Shelly	184	111	71	59	50	28	477
Ronald J. Ebert	111 0.6×	121 1.1×	62 0.9×	40 0.7×	119 2.4×	29	442
Jayavel Sounderpandian	148 0.8×	74 0.7×	143 2.0×	64 1.1×	32 0.6×	20	488
Jordan Tong	256 1.4×	155 1.4×	160 2.3×	69 1.2×	52 1.0×	31	531
Burton V. Dean	90 0.5×	181 1.6×	84 1.2×	85 1.4×	51 1.0×	54	483
Pooya Tabesh	138 0.8×	91 0.8×	204 2.9×	61 1.0×	31 0.6×	17	524
Paolo Boccardelli	70 0.4×	66 0.6×	206 2.9×	86 1.5×	26 0.5×	34	481
Dov Pekelman	160 0.9×	161 1.5×	64 0.9×	150 2.5×	53 1.1×	16	438
David E. Pingry	144 0.8×	112 1.0×	107 1.5×	122 2.1×	9 0.2×	37	475
Yuwen Chen	360 2.0×	159 1.4×	243 3.4×	56 0.9×	52 1.0×	18	532
Giovanna Lo Nigro	136 0.7×	99 0.9×	181 2.5×	94 1.6×	109 2.2×	35	528

Countries citing papers authored by Maynard W. Shelly

Since Specialization

Citations

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

Fields of papers citing papers by Maynard W. Shelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maynard W. Shelly. 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 Maynard W. Shelly. The network helps show where Maynard W. Shelly may publish in the future.

Co-authorship network of co-authors of Maynard W. Shelly

This figure shows the co-authorship network connecting the top 25 collaborators of Maynard W. Shelly. A scholar is included among the top collaborators of Maynard W. Shelly 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 Maynard W. Shelly. Maynard W. Shelly 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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