John H. Semple

1.4k citations
44 papers · 1.0k · h-index 15

Impact in

Papers in

John H. Semple

42 papers receiving 949 citations

Peers

John H. Semple
Comparison fields: 5 of 81
  • Management Science and Operations Research 614
  • Management Information Systems 289
  • Marketing 189
  • Strategy and Management 201
  • Economics and Econometrics 309
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Dan A. Iancu United States
Honghui Deng China
Vicente Liern Spain
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Seong Jong Joo United States
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Citations per field
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Citations per year

Countries citing papers authored by John H. Semple

Since Specialization
Citations

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

Fields of papers citing papers by John H. Semple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Semple. 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 John H. Semple. The network helps show where John H. Semple may publish in the future.

Co-authors

The 25 scholars most cited alongside John H. Semple, 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 John H. Semple Line = papers co-authored together John H. Semple links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992150
2 1996124
3 2006121
4 201678
5 200652
6 200147
7 199544
8 199339
9 199735
10 199534
11 199934
12 199328
13 199227
14 199927
15 199721
16 199714
17 200113
18 200613
19 201312
20 200812

About John H. Semple

John H. Semple is a scholar working on Management Science and Operations Research, Economics and Econometrics, Management Information Systems, Control and Systems Engineering and Marketing, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Efficiency Analysis Using DEA (11 papers), Consumer Market Behavior and Pricing (10 papers), Economic and Environmental Valuation (9 papers), Optimization and Mathematical Programming (8 papers), Optimization and Variational Analysis (5 papers), Advanced Optimization Algorithms Research (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Management Science and Operations Research (614 citations), Management Information Systems (289 citations), Marketing (189 citations), Strategy and Management (201 citations) and Economics and Econometrics (309 citations). John H. Semple has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include John J. Rousseau, A. Charnes, Patrick Jaska, Stephen Haag, Aydın Alptekinoğlu, Chester Chambers, Panos Kouvelis, Richard Metters, Edward J. Fox and Enrique Del Castillo. Their work appears in journals such as Management Science, Operations Research, International Journal of Systems Science, Journal of the Operational Research Society and Annals of Operations Research.

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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