Upendra Dave

5.1k citations
53 papers · 3.7k indexed · 1 hit paper · h-index 17

Upendra Dave

51 papers receiving 3.3k citations

Hit Papers

Applied Probability and Queues.1.9k198720262000201350010001.5k

Peers

Upendra Dave
Comparison fields: 5 of 135
  • Management Information Systems 1.7k
  • Management Science and Operations Research 1.2k
  • Statistics and Probability 688
  • Industrial and Manufacturing Engineering 771
  • Mathematical Physics 369
Replace Arthur F. Veinott with:
Arthur F. Veinott United States
David D. Yao United States
Willard I. Zangwill United States
Martin I. Reiman United States
Sheldon M. Ross
Henk Tijms Netherlands
Daniel P. Heyman United States
Paul Glasserman United States
Steven I. Marcus United States
Cyrus Derman United States
Upendra Dave relative to Arthur F. Veinott United States Arthur F. Veinott's profile →
Citations per field
00.5×7.1×
Arthur F. Veinott · 1×
Citations per year

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

The 15 scholars most cited alongside Upendra Dave, 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 Upendra Dave Line = papers co-authored together Upendra Dave links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19965
2 199560
3 19952
4 19951
5 199545
6 19951
7 19943
8 19914
9 199018
10 19901
11
On probabilistic scheduling period inventory system with instantaneous demand
19891
12 19891
13 19896
14 19892
15 19891
16 19877
17 198512
18 1981319
19 19809
20 19803

About Upendra Dave

Upendra Dave is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Software, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (15 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Advanced Queuing Theory Analysis (7 papers), Scheduling and Optimization Algorithms (7 papers), Management and Optimization Techniques (4 papers), Sustainable Supply Chain Management (3 papers), Optimization and Mathematical Programming (3 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Management Information Systems (1.7k citations), Management Science and Operations Research (1.2k citations) and Statistics and Probability (688 citations). Upendra Dave has collaborated with scholars based in India, United Kingdom and Spain. Frequent co-authors include Søren Asmussen, L. K. Patel, Friedrich Pukelsheim, John R. Canada, William G. Sullivan, Y. K. Shah, Thomas E. Morton, David W. Pentico, George W. Wright and Robert G. Brown. Their work appears in journals such as Journal of the Operational Research Society, European Journal of Operational Research, Decision Sciences, Naval Research Logistics (NRL) and ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND 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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