William B. Haskell

45 papers receiving 407 citations

Peers

William B. Haskell
Comparison fields: 5 of 74
  • Management Science and Operations Research 181
  • Industrial and Manufacturing Engineering 60
  • General Decision Sciences 11
  • Statistics and Probability 45
  • Organizational Behavior and Human Resource Management 43
Replace Pavlo Krokhmal with:
Pavlo Krokhmal United States
Yanping Jiang China
Jianqiang Cheng United States
K Darby-Dowman United Kingdom
Romy Shioda Canada
Xuan Vinh Doan United Kingdom
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Angelos Georghiou Switzerland
Steve Zymler United Kingdom
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Citations per year

Countries citing papers authored by William B. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by William B. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Haskell. 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 William B. Haskell. The network helps show where William B. Haskell may publish in the future.

Co-authors

The 25 scholars most cited alongside William B. Haskell, 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 William B. Haskell Line = papers co-authored together William B. Haskell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201442
3 201535
4 201427
5 201627
6 201625
7 201723
8 201821
9 201917
10 201316
11 201411
12 201811
13 201911
14 201711
15 202310
16 202110
17 20178
18 20117
19 20137
20 20156

About William B. Haskell

William B. Haskell is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Mechanics, Computational Theory and Mathematics and Economics and Econometrics, having authored 46 papers that have together received 425 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (25 papers), Reinforcement Learning in Robotics (10 papers), Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (7 papers), Supply Chain and Inventory Management (6 papers), Economic theories and models (6 papers), Decision-Making and Behavioral Economics (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Management Science and Operations Research (181 citations), Industrial and Manufacturing Engineering (60 citations), General Decision Sciences (11 citations), Statistics and Probability (45 citations) and Organizational Behavior and Human Resource Management (43 citations). William B. Haskell has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Rahul Jain, Guodong Yu, Alejandro Toriello, P. L. Yu, M. Poremba, Wenjie Huang, Vincent Y. F. Tan, Sixiang Zhao, Dileep Kalathil and Milind Tambe. Their work appears in journals such as IEEE Transactions on Automatic Control, Annals of Operations Research, SIAM Journal on Control and Optimization, SIAM Journal on Optimization and IISE Transactions.

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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