Michael Pinedo

14.8k total citations · 2 hit papers
176 papers, 10.0k citations indexed

About

Michael Pinedo is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Michael Pinedo has authored 176 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Industrial and Manufacturing Engineering, 73 papers in Computer Networks and Communications and 40 papers in Management Information Systems. Recurrent topics in Michael Pinedo's work include Scheduling and Optimization Algorithms (124 papers), Optimization and Search Problems (62 papers) and Advanced Manufacturing and Logistics Optimization (52 papers). Michael Pinedo is often cited by papers focused on Scheduling and Optimization Algorithms (124 papers), Optimization and Search Problems (62 papers) and Advanced Manufacturing and Logistics Optimization (52 papers). Michael Pinedo collaborates with scholars based in United States, China and South Korea. Michael Pinedo's co-authors include Joseph Y.‐T. Leung, Kangbok Lee, Xiuli Chao, Marcos Singer, Gideon Weiss, Christos Zacharias, Guohua Wan, S. Thomas McCormick, Kumar Bhaskaran and Young Hoon Lee and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and European Journal of Operational Research.

In The Last Decade

Michael Pinedo

172 papers receiving 9.5k citations

Hit Papers

Scheduling: Theory, Algorithms, and Systems 1996 2026 2006 2016 1996 2012 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pinedo United States 36 7.8k 2.9k 1.5k 1.1k 866 176 10.0k
Martin Savelsbergh United States 61 8.8k 1.1× 1.4k 0.5× 1.0k 0.7× 1.3k 1.1× 731 0.8× 230 14.0k
Chengbin Chu France 50 5.8k 0.7× 1.3k 0.5× 1.2k 0.8× 657 0.6× 274 0.3× 301 8.6k
Andrew Lim Singapore 52 5.8k 0.7× 798 0.3× 683 0.5× 1.1k 1.0× 911 1.1× 322 8.9k
Rubén Ruíz Spain 50 8.4k 1.1× 1.6k 0.6× 418 0.3× 571 0.5× 1.2k 1.4× 151 9.9k
Chris N. Potts United Kingdom 52 7.1k 0.9× 3.0k 1.0× 801 0.6× 424 0.4× 603 0.7× 120 8.1k
Jan Karel Lenstra Netherlands 38 6.6k 0.8× 3.0k 1.0× 710 0.5× 1.5k 1.3× 1.2k 1.4× 124 9.4k
Reha Uzsoy United States 48 7.0k 0.9× 1.4k 0.5× 1.7k 1.2× 984 0.9× 442 0.5× 201 8.3k
M. Zandieh Iran 50 5.4k 0.7× 662 0.2× 734 0.5× 837 0.8× 988 1.1× 238 7.5k
Chung‐Yee Lee Hong Kong 51 6.4k 0.8× 1.6k 0.6× 2.4k 1.7× 625 0.6× 146 0.2× 148 8.6k
Paolo Toth Italy 64 13.3k 1.7× 3.0k 1.0× 341 0.2× 1.4k 1.3× 1.9k 2.2× 180 17.4k

Countries citing papers authored by Michael Pinedo

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pinedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pinedo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pinedo. A scholar is included among the top collaborators of Michael Pinedo 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 Michael Pinedo. Michael Pinedo 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.
Hermelin, Danny, Hendrik Molter, Rolf Niedermeier, Michael Pinedo, & Dvir Shabtay. (2025). Fairness in repetitive scheduling. European Journal of Operational Research. 323(3). 724–738. 2 indexed citations
2.
Agnetis, Alessandro, et al.. (2025). Fifty years of research in scheduling — Theory and applications. European Journal of Operational Research. 327(2). 367–393. 2 indexed citations
3.
Fu, Chenyi, Ning Zhu, Michael Pinedo, & Shoufeng Ma. (2024). Station-based, free-float, or hybrid: An operating mode analysis of a bike-sharing system. Transportation Research Part B Methodological. 191. 103105–103105. 1 indexed citations
4.
Lee, Kangbok, et al.. (2023). Bicriteria two-machine flowshop scheduling: approximation algorithms and their limits. Journal of Scheduling. 27(1). 61–86. 1 indexed citations
5.
Hermelin, Danny, et al.. (2022). A general scheme for solving a large set of scheduling problems with rejection in FPT time. Journal of Scheduling. 25(2). 229–255. 4 indexed citations
6.
Pinedo, Michael, et al.. (2021). Frontiers in Service Science: Fintech Operations—An Overview of Recent Developments and Future Research Directions. Service Science. 13(1). 19–35. 19 indexed citations
7.
Burke, Edmund & Michael Pinedo. (2020). Journal of scheduling (2020). Journal of Scheduling. 23(1). 1–2. 1 indexed citations
8.
Pinedo, Michael & Yuqian Xu. (2017). Operations in Financial Services: Processes, Technologies, and Risks. RePEc: Research Papers in Economics. 11(3). 223–342. 2 indexed citations
9.
He, Cheng, Joseph Y.‐T. Leung, Kangbok Lee, & Michael Pinedo. (2015). Scheduling a single machine with parallel batching to minimize makespan and total rejection cost. Discrete Applied Mathematics. 204. 150–163. 21 indexed citations
10.
Lee, Kangbok, Joseph Y.‐T. Leung, & Michael Pinedo. (2011). Coordination mechanisms with hybrid local policies. Discrete Optimization. 8(4). 513–524. 15 indexed citations
11.
Geismar, H. Neil & Michael Pinedo. (2010). Robotic cells with stochastic processing times. IIE Transactions. 42(12). 897–914. 18 indexed citations
12.
Dawande, Milind, H. Neil Geismar, Michael Pinedo, & Chelliah Sriskandarajah. (2010). Throughput Optimization in Dual-Gripper Interval Robotic Cells. SSRN Electronic Journal. 1 indexed citations
13.
Pinedo, Michael, et al.. (2010). Robotic Cells with Stochastic Processing Times. SSRN Electronic Journal. 1 indexed citations
14.
Briskorn, Dirk, et al.. (2009). Genetic algorithms for inventory constrained scheduling on a single machine. Econstor (Econstor). 3 indexed citations
15.
Lee, Kangbok, Joseph Y.‐T. Leung, & Michael Pinedo. (2009). Online scheduling on two uniform machines subject to eligibility constraints. Theoretical Computer Science. 410(38-40). 3975–3981. 8 indexed citations
16.
Briskorn, Dirk, Byung‐Cheon Choi, Kangbok Lee, Joseph Leung, & Michael Pinedo. (2008). Inventory constrained scheduling on a single machine. Econstor (Econstor). 1 indexed citations
17.
Seshadri, Sridhar & Michael Pinedo. (1999). Optimal allocation of resources in a job shop environment. IIE Transactions. 31(3). 195–206. 7 indexed citations
18.
Pinedo, Michael & Marcos Singer. (1999). A shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop. Naval Research Logistics (NRL). 46(1). 1–17. 126 indexed citations
19.
Chang, Cheng‐Shang, et al.. (1991). Monotonicity results for queues with doubly stochastic Poisson arrivals: Ross's conjecture. Advances in Applied Probability. 23(1). 210–228. 39 indexed citations
20.
Pinedo, Michael, et al.. (1986). Inequalities for stochastic flow shops and job shops. Applied Stochastic Models and Data Analysis. 2(1-2). 61–69. 14 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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