Michael J. Fry

44 total papers · 936 total citations
35 papers, 703 citations indexed

About

Michael J. Fry is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Michael J. Fry has authored 35 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Information Systems, 9 papers in Industrial and Manufacturing Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Michael J. Fry's work include Supply Chain and Inventory Management (11 papers), Consumer Market Behavior and Pricing (6 papers) and Scheduling and Optimization Algorithms (6 papers). Michael J. Fry is often cited by papers focused on Supply Chain and Inventory Management (11 papers), Consumer Market Behavior and Pricing (6 papers) and Scheduling and Optimization Algorithms (6 papers). Michael J. Fry collaborates with scholars based in United States, China and Israel. Michael J. Fry's co-authors include Roman Kapuściński, Tava Lennon Olsen, Jeffrey W. Ohlmann, Amitabh S. Raturi, Bogdan C. Bichescu, Feng Mai, W. David Kelton, Theodore T. Allen, Yong Liu and Uday S. Rao and has published in prestigious journals such as European Journal of Operational Research, Operations Research and Journal of the Operational Research Society.

In The Last Decade

Michael J. Fry

34 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
Michael J. Fry	372	251	170	124	114	35	703
Yash Daultani	261 0.7×	417 1.7×	251 1.5×	73 0.6×	97 0.9×	50	887
Juan‐Carlos Ferrer	171 0.5×	147 0.6×	175 1.0×	209 1.7×	187 1.6×	27	668
Sungjune Park	240 0.6×	208 0.8×	88 0.5×	79 0.6×	145 1.3×	25	817
Saravanan Kesavan	369 1.0×	167 0.7×	63 0.4×	211 1.7×	291 2.6×	34	836
Ying Liu	215 0.6×	293 1.2×	80 0.5×	271 2.2×	92 0.8×	56	807
Jing‐Sheng Song	543 1.5×	439 1.7×	166 1.0×	126 1.0×	186 1.6×	38	905
Martine Cools	316 0.8×	311 1.2×	189 1.1×	73 0.6×	47 0.4×	31	731
Ching-Chin Chern	133 0.4×	130 0.5×	156 0.9×	241 1.9×	87 0.8×	38	899
Gengzhong Feng	317 0.9×	218 0.9×	59 0.3×	120 1.0×	88 0.8×	55	695
Zied Jemaï	247 0.7×	138 0.5×	112 0.7×	161 1.3×	39 0.3×	34	643

Countries citing papers authored by Michael J. Fry

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Fry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Fry. 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 Michael J. Fry. The network helps show where Michael J. Fry may publish in the future.

Co-authorship network of co-authors of Michael J. Fry

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Fry. A scholar is included among the top collaborators of Michael J. Fry 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 Michael J. Fry. Michael J. Fry 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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