Nelson A. Uhan

1.4k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Nelson A. Uhan is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Nelson A. Uhan has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 10 papers in Economics and Econometrics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Nelson A. Uhan's work include Auction Theory and Applications (7 papers), Scheduling and Optimization Algorithms (6 papers) and Optimization and Search Problems (5 papers). Nelson A. Uhan is often cited by papers focused on Auction Theory and Applications (7 papers), Scheduling and Optimization Algorithms (6 papers) and Optimization and Search Problems (5 papers). Nelson A. Uhan collaborates with scholars based in United States, Switzerland and India. Nelson A. Uhan's co-authors include Kan Fang, Fu Zhao, John W. Sutherland, Özlem Ergün, Qiaohai Hu, Leroy B. Schwarz, Andreas S. Schulz, Alejandro Toriello, Monaldo Mastrolilli and Maurice Queyranne and has published in prestigious journals such as European Journal of Operational Research, Energy Policy and Operations Research.

In The Last Decade

Nelson A. Uhan

24 papers receiving 1.0k citations

Hit Papers

A new approach to scheduling in manufacturing for power c... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nelson A. Uhan United States 11 619 237 137 130 113 26 1.0k
Fadi Shrouf Italy 6 772 1.2× 302 1.3× 244 1.8× 142 1.1× 193 1.7× 6 1.3k
Vittaldas V. Prabhu United States 19 640 1.0× 90 0.4× 74 0.5× 165 1.3× 124 1.1× 90 1.1k
Stephan Biller United States 24 1.1k 1.7× 250 1.1× 125 0.9× 195 1.5× 173 1.5× 73 1.6k
Jian-Ya Ding China 12 620 1.0× 84 0.4× 95 0.7× 128 1.0× 70 0.6× 22 884
Nicola Secomandi United States 22 501 0.8× 210 0.9× 305 2.2× 181 1.4× 80 0.7× 68 1.6k
Michael P. Brundage United States 19 420 0.7× 133 0.6× 55 0.4× 110 0.8× 165 1.5× 51 1.0k
Mahdi Alinaghian Iran 15 488 0.8× 58 0.2× 97 0.7× 82 0.6× 110 1.0× 47 835
Paulo Eigi Miyagi Brazil 16 416 0.7× 52 0.2× 153 1.1× 173 1.3× 91 0.8× 111 873
Chulung Lee South Korea 19 406 0.7× 60 0.3× 139 1.0× 50 0.4× 269 2.4× 76 1.1k
Paolo Renna Italy 21 737 1.2× 83 0.4× 46 0.3× 67 0.5× 212 1.9× 89 1.2k

Countries citing papers authored by Nelson A. Uhan

Since Specialization
Citations

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

Fields of papers citing papers by Nelson A. Uhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nelson A. Uhan. 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 Nelson A. Uhan. The network helps show where Nelson A. Uhan may publish in the future.

Co-authorship network of co-authors of Nelson A. Uhan

This figure shows the co-authorship network connecting the top 25 collaborators of Nelson A. Uhan. A scholar is included among the top collaborators of Nelson A. Uhan 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 Nelson A. Uhan. Nelson A. Uhan 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.
Uhan, Nelson A., et al.. (2022). Approximating a linear multiplicative objective in watershed management optimization. European Journal of Operational Research. 305(2). 547–561. 2 indexed citations
2.
Uhan, Nelson A., et al.. (2021). Computing payoff allocations in the approximate core of linear programming games in a privacy-preserving manner. Operations Research Letters. 50(1). 64–71.
3.
Dessouky, Maged, et al.. (2021). Cost-sharing mechanism design for ride-sharing. Transportation Research Part B Methodological. 150. 410–434. 18 indexed citations
4.
Hota, Ashish R., et al.. (2020). Equilibrium strategies for multiple interdictors on a common network. European Journal of Operational Research. 288(2). 523–538. 5 indexed citations
5.
Kim, Sung-Hee, et al.. (2019). Linear Programming Models: Identifying Common Errors in Engineering Students’ Work with Complex Word Problems. International Journal of Science and Mathematics Education. 18(4). 635–655. 10 indexed citations
6.
Toriello, Alejandro & Nelson A. Uhan. (2016). Dynamic linear programming games with risk-averse players. Mathematical Programming. 163(1-2). 25–56. 8 indexed citations
7.
Fang, Kan, Nelson A. Uhan, Fu Zhao, & John W. Sutherland. (2015). Scheduling on a single machine under time-of-use electricity tariffs. Annals of Operations Research. 238(1-2). 199–227. 108 indexed citations
8.
Uhan, Nelson A.. (2014). Stochastic linear programming games with concave preferences. European Journal of Operational Research. 243(2). 637–646. 14 indexed citations
9.
Schulz, Andreas S. & Nelson A. Uhan. (2013). Approximating the least core value and least core of cooperative games with supermodular costs. Discrete Optimization. 10(2). 163–180.
10.
Yi, Ji Soo, et al.. (2013). POETIC: Interactive solutions to alleviate the reversal error in student–professor type problems. International Journal of Human-Computer Studies. 72(1). 12–22. 8 indexed citations
11.
Fang, Kan, Nelson A. Uhan, Fu Zhao, & John W. Sutherland. (2013). Flow shop scheduling with peak power consumption constraints. Annals of Operations Research. 206(1). 115–145. 154 indexed citations
12.
Toriello, Alejandro & Nelson A. Uhan. (2013). Dynamic cost allocation for economic lot sizing games. Operations Research Letters. 42(1). 82–84. 12 indexed citations
13.
Toriello, Alejandro & Nelson A. Uhan. (2013). Technical Note—On Traveling Salesman Games with Asymmetric Costs. Operations Research. 61(6). 1429–1434. 7 indexed citations
14.
Preckel, Paul V., et al.. (2012). Diversification of fuel costs accounting for load variation. Energy Policy. 42. 400–408. 2 indexed citations
15.
Fang, Kan, Nelson A. Uhan, Fu Zhao, & John W. Sutherland. (2011). A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. Journal of Manufacturing Systems. 30(4). 234–240. 449 indexed citations breakdown →
16.
Uhan, Nelson A., et al.. (2011). Cost-sharing mechanisms for scheduling under general demand settings. European Journal of Operational Research. 217(2). 270–277. 3 indexed citations
17.
Hu, Qiaohai, Leroy B. Schwarz, & Nelson A. Uhan. (2011). The Impact of Group Purchasing Organizations on Healthcare-Product Supply Chains. Manufacturing & Service Operations Management. 14(1). 7–23. 70 indexed citations
18.
Schulz, Andreas S. & Nelson A. Uhan. (2010). Sharing Supermodular Costs. Operations Research. 58(4-part-2). 1051–1056. 12 indexed citations
19.
Mastrolilli, Monaldo, Maurice Queyranne, Andreas S. Schulz, Ola Svensson, & Nelson A. Uhan. (2010). Minimizing the sum of weighted completion times in a concurrent open shop. Operations Research Letters. 38(5). 390–395. 50 indexed citations
20.
Schulz, Andreas S. & Nelson A. Uhan. (2007). Encouraging Cooperation in Sharing Supermodular Costs. SSRN Electronic Journal. 2 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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