D. B. Learner

532 citations
21 papers · 350 · h-index 12

Impact in

Papers in

D. B. Learner

21 papers receiving 293 citations

Peers

D. B. Learner
Comparison fields: 5 of 73
  • Management Science and Operations Research 151
  • Marketing 82
  • Tourism, Leisure and Hospitality Management 13
  • Management Information Systems 44
  • Control and Systems Engineering 100
Replace Dov Pekelman with:
Dov Pekelman United States
Harry B. Wolfe United States
M. L. Vidale United States
Jean-Marie Blin United States
Alexander Mehlmann Austria
Jifa Gu China
S. Vajda
Dalen T. Chiang United States
Dilip Roy India
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Citations per field
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Citations per year

Countries citing papers authored by D. B. Learner

Since Specialization
Citations

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

Fields of papers citing papers by D. B. Learner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. B. Learner. 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 D. B. Learner. The network helps show where D. B. Learner may publish in the future.

Co-authors

The 7 scholars most cited alongside D. B. Learner, 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 D. B. Learner Line = papers co-authored together D. B. Learner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196872
2 198547
3 196029
4 198527
5 196826
6 196624
7 199520
8 196817
9 197817
10 195816
11 198412
12 199012
13 196811
14 19939
15
The MDI Method as a Generalization of Logit, Probit and Hendry Analyses in Marketing.
19803
16 19712
17
LP II: A GOAL PROGRAMMING MODEL FOR MEDIA PLANNING.
19672
18 19601
19 19681
20 19601

About D. B. Learner

D. B. Learner is a scholar working on Management Science and Operations Research, Marketing, Control and Systems Engineering, Social Psychology and Management Information Systems, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (6 papers), Optimization and Mathematical Programming (5 papers), Multi-Criteria Decision Making (3 papers), Efficiency Analysis Using DEA (3 papers), Advanced Statistical Methods and Models (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Human-Automation Interaction and Safety (2 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Management Science and Operations Research (151 citations), Marketing (82 citations), Tourism, Leisure and Hospitality Management (13 citations), Management Information Systems (44 citations) and Control and Systems Engineering (100 citations). D. B. Learner has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include A. Charnes, W. W. Cooper, Fred Phillips, Edgar Snow, Patrick L. Brockett, John J. Rousseau and Boaz Golany. Their work appears in journals such as Management Science, Journal of Marketing, California Management Review, Computers Environment and Urban Systems and Human Factors The Journal of the Human Factors and Ergonomics Society.

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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