Jack F. Williams

168 total papers · 662 total citations
44 papers, 443 citations indexed

About

Jack F. Williams is a scholar working on Economics and Econometrics, Accounting and Political Science and International Relations. According to data from OpenAlex, Jack F. Williams has authored 44 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 6 papers in Accounting and 4 papers in Political Science and International Relations. Recurrent topics in Jack F. Williams's work include Law, Economics, and Judicial Systems (5 papers), Corporate Insolvency and Governance (4 papers) and Scheduling and Optimization Algorithms (4 papers). Jack F. Williams is often cited by papers focused on Law, Economics, and Judicial Systems (5 papers), Corporate Insolvency and Governance (4 papers) and Scheduling and Optimization Algorithms (4 papers). Jack F. Williams collaborates with scholars based in United States, Canada and South Africa. Jack F. Williams's co-authors include Michael Wagner, Wallace B. Crowston, Robert J. Stimson, David S. G. Goodman, Stanley D. Brunn, Shih‐Lung Shaw, Joseph Wong, David S. Salsburg, Randall Mutters and Bryan M. Jenkins and has published in prestigious journals such as Management Science, Economic Geography and The Professional Geographer.

In The Last Decade

Jack F. Williams

33 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Jack F. Williams	259	244	66	35	33	44	443
Qing Lu	123 0.5×	88 0.4×	168 2.5×	23 0.7×	14 0.4×	40	492
John F. Magee	205 0.8×	151 0.6×	112 1.7×	108 3.1×	19 0.6×	19	436
Rodrigo Andrés Gómez Montoya	66 0.3×	184 0.8×	48 0.7×	22 0.6×	11 0.3×	73	383
Peter Haug	142 0.5×	54 0.2×	204 3.1×	29 0.8×	15 0.5×	28	410
Carmela Piccolo	51 0.2×	79 0.3×	68 1.0×	31 0.9×	18 0.5×	33	369
Luiz Octávio Gavião	113 0.4×	146 0.6×	116 1.8×	63 1.8×	12 0.4×	42	370
Nissrine Souissi	119 0.5×	96 0.4×	61 0.9×	51 1.5×	13 0.4×	61	439
Bernardo Nicoletti	186 0.7×	97 0.4×	92 1.4×	43 1.2×	30 0.9×	49	425
Jiun‐Yan Shiau	110 0.4×	132 0.5×	112 1.7×	41 1.2×	11 0.3×	29	475
Constantin Houy	258 1.0×	75 0.3×	73 1.1×	36 1.0×	9 0.3×	30	387

Countries citing papers authored by Jack F. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Jack F. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack F. Williams. 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 Jack F. Williams. The network helps show where Jack F. Williams may publish in the future.

Co-authorship network of co-authors of Jack F. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Jack F. Williams. A scholar is included among the top collaborators of Jack F. Williams 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 Jack F. Williams. Jack F. Williams 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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