Jack Cook

612 citations
34 papers · 466 · h-index 11

Impact in

Papers in

Jack Cook

31 papers receiving 409 citations

Peers

Jack Cook
Comparison fields: 5 of 101
  • Management Information Systems 94
  • Reproductive Medicine 51
  • Complementary and Manual Therapy 13
  • Endocrinology, Diabetes and Metabolism 76
  • Industrial and Manufacturing Engineering 50
Replace Young-Ju Park with:
Young-Ju Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jack Cook

Since Specialization
Citations

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

Fields of papers citing papers by Jack Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jack Cook, 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 Jack Cook Line = papers co-authored together Jack Cook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993122
2 201153
3 199234
4
From Raw Materials to Customers: Supply Chain Management in the Service Industry
200132
5 199430
6
How technology enhances the quality of student-centered learning
199827
7 195325
8 199421
9 199220
10 200414
11 199412
12 200310
13
A Framework for Classification of the Data and Information Quality Literature and Preliminart Results (1996-2007)
20089
14 19798
15 19947
16 19987
17
Lean Object-Oriented Software Development
20046
18 20075
19
Improving the quality of family life
19973
20
Pediatric reference ranges for thyroxine and triiodothyronine uptake
19923

About Jack Cook

Jack Cook is a scholar working on Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Management Science and Operations Research and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 466 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (5 papers), Data Quality and Management (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Optimization and Packing Problems (4 papers), Knowledge Management and Sharing (3 papers), Innovation and Knowledge Management (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Management Information Systems (94 citations), Reproductive Medicine (51 citations), Complementary and Manual Therapy (13 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Industrial and Manufacturing Engineering (50 citations). Jack Cook has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Josie Hansen, Laura Cook, Mark Stene, Robert P. Hoffman, Bernard T. Han, P. Michael Conn, Simon C. Kao, T. M. Simonson, Susan Mitchell and Peter Densen. Their work appears in journals such as Annals of Operations Research, The Journal of Clinical Endocrinology & Metabolism, Quality progress, Medical Care and Academic Medicine.

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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