Jon M. Ford

1.2k citations
20 papers · 879 indexed · h-index 11

Jon M. Ford

20 papers receiving 820 citations

Peers

Jon M. Ford
Comparison fields: 5 of 95
  • Management Science and Operations Research 377
  • Economics and Econometrics 468
  • General Agricultural and Biological Sciences 109
  • General Economics, Econometrics and Finance 81
  • Accounting 78
Replace De-Min Wu with:
De-Min Wu United States
Hiroshi Fujiki Japan
Sebastian Kohl Germany
William L. Silber United States
Cristina Bernini Italy
Paul Cashin United States
John K. Ashton United Kingdom
Giovanni Cerulli Italy
Jiří Blažek Czechia
Richard Snyder United States
Jon M. Ford relative to De-Min Wu United States De-Min Wu's profile →
Citations per field
00.5×4.4×
De-Min Wu · 1×
Citations per year

Countries citing papers authored by Jon M. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jon M. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Jon M. Ford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon M. Ford Line = papers co-authored together Jon M. Ford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200624
2 20021
3 2001113
4 200169
5 200011
6 19996
7 199825
8 19972
9 19972
10 19972
11 19979
12 19979
13 199510
14 199595
15 19956
16 1995265
17 199530
18 199324
19 1993175
20
Phase II study of a high-dose regimen of cyclophosphamide and prednisolone in advanced non-Hodgkin's lymphoma of favorable histologic type.
19821

About Jon M. Ford

Jon M. Ford is a scholar working on Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance, Statistics and Probability and Safety Research, having authored 20 papers that have together received 879 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (4 papers), Sports Analytics and Performance (2 papers), Fiscal Policy and Economic Growth (2 papers), Global trade and economics (2 papers), Healthcare Policy and Management (2 papers), Merger and Competition Analysis (2 papers), Gambling Behavior and Treatments (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Management Science and Operations Research (377 citations), Economics and Econometrics (468 citations), General Agricultural and Biological Sciences (109 citations), General Economics, Econometrics and Finance (81 citations) and Accounting (78 citations). Jon M. Ford has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Steven B. Caudill, Daniel M. Gropper, David L. Kaserman, William B. Carter, Grant Lawless, Shannon D. Scott, Martin Lee, Craig A. Depken, Franklin G. Mixon and Vincent J. Picozzi. Their work appears in journals such as Review of Industrial Organization, European Journal of Operational Research, Journal of Business and Economic Statistics, Cancer and Transportation Research Part E Logistics and Transportation Review.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026