Matthew J. Sobel

6.1k total citations · 1 hit paper
96 papers, 4.2k citations indexed

About

Matthew J. Sobel is a scholar working on Management Information Systems, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Matthew J. Sobel has authored 96 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Information Systems, 28 papers in Management Science and Operations Research and 27 papers in Economics and Econometrics. Recurrent topics in Matthew J. Sobel's work include Supply Chain and Inventory Management (25 papers), Economic theories and models (22 papers) and Advanced Queuing Theory Analysis (19 papers). Matthew J. Sobel is often cited by papers focused on Supply Chain and Inventory Management (25 papers), Economic theories and models (22 papers) and Advanced Queuing Theory Analysis (19 papers). Matthew J. Sobel collaborates with scholars based in United States, Canada and Australia. Matthew J. Sobel's co-authors include Daniel P. Heyman, Volodymyr Babich, Benjamin Epstein, Charles W. Dunnett, Susan A. Slotnick, Daniel B. Botkin, Martín Shubik, Kun‐Jen Chung, Lode Li and Rachel Q. Zhang and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Econometrica.

In The Last Decade

Matthew J. Sobel

90 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stochastic models in operations research

1982 792 citations Matthew J. Sobel et al. profile →

Peers

Matthew J. Sobel

MIS

MSOR

EE

SP

SM

Marshall Freimer United States

Frederick S. Hillier United States

Stanley Zionts United States

Gerald L. Thompson United States

Wayne L. Winston United States

Ronald A. Howard United States

James S. Dyer United States

Ralph E. Steuer United States

Harvey M. Wagner United States

Milan Zelený United States

Marshall Freimer United States

Matthew J. Sobel

519 ×0.4

MIS

846 ×0.7

MSOR

515 ×0.8

EE

1.0k ×1.7

SP

274 ×0.6

SM

Citations per year, relative to Matthew J. Sobel Matthew J. Sobel (= 1×) peers Marshall Freimer

Countries citing papers authored by Matthew J. Sobel

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Sobel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Sobel. 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 Matthew J. Sobel. The network helps show where Matthew J. Sobel may publish in the future.

Co-authorship network of co-authors of Matthew J. Sobel

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Sobel. A scholar is included among the top collaborators of Matthew J. Sobel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Sobel. Matthew J. Sobel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Slotnick, Susan A. & Matthew J. Sobel. (2021). Collaboration with a supplier to induce fair labor practices. European Journal of Operational Research. 302(1). 244–258. 5 indexed citations

2.

Sobel, Matthew J., et al.. (2017). Production and Capacity Management with Internal Financing. Manufacturing & Service Operations Management. 20(1). 147–160. 18 indexed citations

3.

Latecki, Longin Jan, Matthew J. Sobel, & Rolf Lakaemper. (2009). Piecewise Linear Models with Guaranteed Closeness to the Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(8). 1525–1531. 3 indexed citations

4.

Sobel, Matthew J., et al.. (2009). Bayesian auxiliary particle filters for estimating neural tuning parameters. PubMed. 2009. 5705–8. 4 indexed citations

5.

Sobel, Matthew J. & Danko Turcic. (2008). Risk Aversion and Supply Chain Contract Negotiation. SSRN Electronic Journal. 7 indexed citations

6.

Babich, Volodymyr & Matthew J. Sobel. (2006). Pre‑IPO Operational and Financial Decisions. SSRN Electronic Journal. 105 indexed citations

7.

Babich, Volodymyr & Matthew J. Sobel. (2004). Pre-IPO Operational and Financial Decisions. Management Science. 50(7). 935–948. 158 indexed citations

8.

Sobel, Matthew J., et al.. (2004). RISK-SENSITIVE MARKOV-PERFECT EQUILIBRIA. 1 indexed citations

9.

Lamond, Bernard F., et al.. (1995). A reservoir hydroelectric system: Exactly and approximately optimal policies. European Journal of Operational Research. 81(3). 535–542. 13 indexed citations

10.

Sobel, Matthew J.. (1995). Lot Sizes in Serial Manufacturing with Random Yields. Probability in the Engineering and Informational Sciences. 9(1). 151–157. 4 indexed citations

11.

Monahan, George E. & Matthew J. Sobel. (1994). Stochastic Dynamic Market Share Attraction Games. Games and Economic Behavior. 6(1). 130–149. 11 indexed citations

12.

Shubik, Martín & Matthew J. Sobel. (1992). On Matching Book: A Problem in Banking and Corporate Finance. Management Science. 38(6). 827–839. 5 indexed citations

13.

Chung, Kun‐Jen & Matthew J. Sobel. (1987). Discounted MDP’s: Distribution Functions and Exponential Utility Maximization. SIAM Journal on Control and Optimization. 25(1). 49–62. 80 indexed citations

14.

Sobel, Matthew J., et al.. (1985). On the distribution of the time required to remove white balls from an urn. Bulletin of Mathematical Biology. 47(6). 791–797. 2 indexed citations

15.

Bernard, Samuel, Matthew J. Sobel, & V. R. R. Uppuluri. (1981). On a two urn model of Polya-type. Bulletin of Mathematical Biology. 43(1). 33–45. 4 indexed citations

16.

Olkin, Ingram, Matthew J. Sobel, & Yeyu Tong. (1976). Estimating the True Probability of Correct Selection for Location and Scale Parameter Families.. Defense Technical Information Center (DTIC). 10 indexed citations

17.

Sanghvi, Arun P. & Matthew J. Sobel. (1976). Bayesian games as stochastic processes. International Journal of Game Theory. 5(1). 1–22. 17 indexed citations

18.

Sobel, Matthew J.. (1973). Continuous stochastic games. Journal of Applied Probability. 10(3). 597–604. 13 indexed citations

19.

Barndorff–Nielsen, Ole E. & Matthew J. Sobel. (1966). On the Distribution of the Number of Admissible Points in a Vector Random Sample. Theory of Probability and Its Applications. 11(2). 249–269. 56 indexed citations

20.

Epstein, Benjamin & Matthew J. Sobel. (1954). Some Theorems Relevant to Life Testing from an Exponential Distribution. The Annals of Mathematical Statistics. 25(2). 373–381. 237 indexed citations

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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