Upendra Dave

5.1k total citations · 1 hit paper
53 papers, 3.7k citations indexed

About

Upendra Dave is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Strategy and Management. According to data from OpenAlex, Upendra Dave has authored 53 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Information Systems, 12 papers in Industrial and Manufacturing Engineering and 7 papers in Strategy and Management. Recurrent topics in Upendra Dave's work include Supply Chain and Inventory Management (15 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Advanced Queuing Theory Analysis (7 papers). Upendra Dave is often cited by papers focused on Supply Chain and Inventory Management (15 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Advanced Queuing Theory Analysis (7 papers). Upendra Dave collaborates with scholars based in India, United Kingdom and Spain. Upendra Dave's co-authors include Søren Asmussen, L. K. Patel, Friedrich Pukelsheim, William G. Sullivan, John R. Canada, Y. K. Shah, Thomas E. Morton, David W. Pentico, George W. Wright and Robert G. Brown and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Decision Sciences.

In The Last Decade

Upendra Dave

51 papers receiving 3.3k citations

Hit Papers

Applied Probability and Queues. 1987 2026 2000 2013 1987 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Upendra Dave India 17 1.7k 1.2k 771 688 595 53 3.7k
David D. Yao United States 40 2.7k 1.6× 1.0k 0.8× 1.6k 2.1× 357 0.5× 843 1.4× 164 4.6k
Martin I. Reiman United States 32 2.9k 1.7× 1.2k 1.0× 430 0.6× 520 0.8× 1.3k 2.1× 87 3.9k
Arthur F. Veinott United States 28 3.1k 1.8× 1.3k 1.1× 1.3k 1.7× 324 0.5× 590 1.0× 48 5.4k
Donald L. Iglehart United States 30 2.0k 1.1× 2.1k 1.7× 175 0.2× 802 1.2× 529 0.9× 87 3.8k
Daniel P. Heyman United States 28 2.1k 1.2× 767 0.6× 297 0.4× 379 0.6× 1.8k 3.0× 85 3.9k
Willard I. Zangwill United States 24 1.1k 0.6× 566 0.5× 978 1.3× 157 0.2× 347 0.6× 40 4.5k
Sheldon M. Ross 3 821 0.5× 620 0.5× 243 0.3× 571 0.8× 1.0k 1.7× 4 3.5k
Henk Tijms Netherlands 25 1.7k 1.0× 834 0.7× 399 0.5× 328 0.5× 789 1.3× 104 3.1k
Paul Glasserman United States 42 1.1k 0.7× 2.4k 2.0× 388 0.5× 953 1.4× 383 0.6× 209 8.5k
Benjamin Melamed United States 31 1.3k 0.8× 890 0.7× 277 0.4× 189 0.3× 1.0k 1.7× 122 3.0k

Countries citing papers authored by Upendra Dave

Since Specialization
Citations

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

Fields of papers citing papers by Upendra Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upendra Dave

This figure shows the co-authorship network connecting the top 25 collaborators of Upendra Dave. A scholar is included among the top collaborators of Upendra Dave 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 Upendra Dave. Upendra Dave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dave, Upendra, et al.. (1996). Probabilistic Reasoning and Bayesian Belief Networks.. Journal of the Operational Research Society. 47(5). 721–721. 5 indexed citations
2.
Dave, Upendra. (1995). Subjective Probability. Journal of the Operational Research Society. 46(12). 1508–1509. 60 indexed citations
3.
Dave, Upendra. (1995). Statistical Uncertainties in Posterior Probabilities. Journal of the Operational Research Society. 46(7). 917–917. 1 indexed citations
4.
Dave, Upendra & Alex Koning. (1995). Stochastic Integrals and Goodness-of-Fit Tests.. Journal of the Operational Research Society. 46(5). 668–668. 2 indexed citations
5.
Dave, Upendra, Thomas E. Morton, & David W. Pentico. (1995). Heuristic Scheduling Systems.. Journal of the Operational Research Society. 46(4). 543–543. 45 indexed citations
6.
Dave, Upendra. (1995). Stochastic Integrals and Goodness-of-fit Tests. Journal of the Operational Research Society. 46(5). 668–669. 1 indexed citations
7.
Dave, Upendra. (1994). Optimal Design of Experiments. Journal of the Operational Research Society. 45(8). 961–962. 3 indexed citations
8.
Dave, Upendra. (1991). Survey of Literature on Continuously Deteriorating Inventory Models -- A Rejoinder. Journal of the Operational Research Society. 42(8). 725–725. 4 indexed citations
9.
Dave, Upendra. (1990). Recent Developments in Production Research. Journal of the Operational Research Society. 41(9). 881–883. 18 indexed citations
10.
Dave, Upendra. (1989). On probabilistic scheduling period inventory system with instantaneous demand. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH. 1 indexed citations
11.
Dave, Upendra, et al.. (1989). Production and Operations Management (5th Edition). Journal of the Operational Research Society. 40(6). 612–612. 1 indexed citations
12.
Dave, Upendra. (1989). A Comment on ‘Inventory Replenishment Policy for Linearly Increasing Demand Considering Shortages — An Optimal Solution’ by T. M. Murdeshwar. Journal of the Operational Research Society. 40(4). 412–412. 6 indexed citations
13.
Dave, Upendra. (1989). On reducing excessive stock in the order-level lot-size system for decaying inventories. Engineering Costs and Production Economics. 15. 175–180. 2 indexed citations
14.
Patel, L. K., et al.. (1988). Radiating Demianski-type metrics and the Einstein-Maxwell fields. The Journal of the Australian Mathematical Society Series B Applied Mathematics. 30(1). 120–126. 1 indexed citations
15.
Dave, Upendra. (1987). Hierarchical spare parts inventory systems. European Journal of Operational Research. 31(3). 389–390. 7 indexed citations
16.
Dave, Upendra, et al.. (1985). Inventory returns and special sales in a lot-size system with constant rate of deterioration. European Journal of Operational Research. 19(3). 305–312. 12 indexed citations
17.
Dave, Upendra & L. K. Patel. (1981). (T, Si) Policy Inventory Model for Deteriorating Items with Time Proportional Demand. Journal of the Operational Research Society. 32(2). 137–142. 319 indexed citations
18.
Dave, Upendra, et al.. (1980). A DISCRETE‐IN‐TIME PROBABILISTIC INVENTORY MODEL FOR DETERIORATING ITEMS. Decision Sciences. 11(1). 110–120. 9 indexed citations
19.
Dave, Upendra, et al.. (1980). Some pure radiation filds in general relativity. The Journal of the Australian Mathematical Society Series B Applied Mathematics. 21(4). 464–473. 3 indexed citations
20.
Dave, Upendra, et al.. (1980). Maximum Likelihood Estimates in a M/M/2 Queue with Heterogeneous Servers. Journal of the Operational Research Society. 31(5). 423–423. 1 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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