Marshall Freimer

7.9k citations
49 papers · 5.4k · 2 hit papers · h-index 19

Impact in

Papers in

Marshall Freimer

44 papers receiving 4.7k citations

Marshall Freimer's Hit Papers

Applied Dynamic Programming. 1964 · 1.5k citations
1.5k0+21+43Years since publication50010001.5k2.0k

Peers

Marshall Freimer
Comparison fields: 5 of 165
  • Statistics and Probability 1.0k
  • Statistics, Probability and Uncertainty 676
  • Management Science and Operations Research 846
  • Management Information Systems 519
  • Industrial and Manufacturing Engineering 372
Replace Ronald A. Howard with:
Ronald A. Howard United States
Sheldon M. Ross
Matthew J. Sobel United States
Da Ruan Belgium
Laurence A. Baxter United States
Yi Peng China
Carl M. Harris United States
H.‐J. Zimmermann Germany
Duan Li Hong Kong
James J. Buckley United States
Marshall Freimer relative to Ronald A. Howard United States Ronald A. Howard's profile →
Citations per field
00.5×3.1×
Ronald A. Howard · 1×
Citations per year

Countries citing papers authored by Marshall Freimer

Since Specialization
Citations

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

Fields of papers citing papers by Marshall Freimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic Programming and Markov Processes.
Hit paper breakdown →
19612237
2
Applied Dynamic Programming.
Hit paper breakdown →
19641477
3 1995400
4 1995398
5 1988150
6 1976101
7 196578
8 199156
9 200055
10 200247
11 200338
12 201232
13 200825
14 199824
15 201022
16 196520
17 201219
18 200419
19 201218
20 200715

About Marshall Freimer

Marshall Freimer is a scholar working on Strategy and Management, Marketing, Management Science and Operations Research, Economics and Econometrics and Media Technology, having authored 49 papers that have together received 5.4k indexed citations. Recurring topics across this work include Digital Platforms and Economics (22 papers), Consumer Market Behavior and Pricing (17 papers), Auction Theory and Applications (9 papers), Merger and Competition Analysis (7 papers), ICT Impact and Policies (6 papers), Innovation Diffusion and Forecasting (4 papers), Statistical Distribution Estimation and Applications (4 papers) and Open Source Software Innovations (3 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Statistics, Probability and Uncertainty (676 citations), Management Science and Operations Research (846 citations), Management Information Systems (519 citations) and Industrial and Manufacturing Engineering (372 citations). Marshall Freimer has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Ronald A. Howard, Richard Bellman, Stuart E. Dreyfus, Govind S. Mudholkar, Deo Kumar Srivastava, Rajiv M. Dewan, P. L. Yu, C. Thomas Lin, Georgia Kollia and Myron J. Gordon. Their work appears in journals such as Management Science, Journal of Management Information Systems, Journal of the American Statistical Association, Information Systems Research and Marketing Science.

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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