David Pardoe
Impact in
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- Auction Theory and Applications
- Management Information Systems top 10%
- Supply Chain and Inventory Management
Papers in
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- Auction Theory and Applications 14
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- Multi-Agent Systems and Negotiation 5
- Algorithms and Data Compression 2
- Co-authors
- Peter Stone (20 shared papers)K Bachmann (1 shared paper)Donald B. White (1 shared paper)Nicholas K. Jong (1 shared paper)Satinder Singh (1 shared paper)Michael L. Littman (1 shared paper)Maytal Saar‐Tsechansky (2 shared papers)Michael S. Ryoo (1 shared paper)
- Journals
- Environmental Health Perspectives (2 papers)INFORMS journal on computing (1 paper)Lecture notes in computer science (2 papers)Lecture notes in business information processing (2 papers)International Conference on Automated Planning and Scheduling (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
David Pardoe
24 papers receiving 500 citations
Peers
Comparison fields: 5 of 106
- Management Science and Operations Research 186
- Management Information Systems 93
- Marketing 78
- Artificial Intelligence 222
- Industrial and Manufacturing Engineering 58
Countries citing papers authored by David Pardoe
This map shows the geographic impact of David Pardoe'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 David Pardoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pardoe more than expected).
Fields of papers citing papers by David Pardoe
This network shows the impact of papers produced by David Pardoe. 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 David Pardoe. The network helps show where David Pardoe may publish in the future.
Co-authors
The 14 scholars most cited alongside David Pardoe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Boosting for Regression Transfer | 2010 | 110 |
| 2 | Learning predictive state representations | 2003 | 79 |
| 3 | 1996 | 75 | |
| 4 | An Autonomous Agent for Supply Chain Management | 2007 | 35 |
| 5 | 2004 | 29 | |
| 6 | Predictive planning for supply chain management | 2006 | 29 |
| 7 | 2016 | 22 | |
| 8 | 2005 | 22 | |
| 9 | 2006 | 21 | |
| 10 | 2006 | 19 | |
| 11 | TacTex-05: a champion supply chain management agent | 2006 | 18 |
| 12 | 2005 | 15 | |
| 13 | 2009 | 14 | |
| 14 | 2010 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 2004 | 8 | |
| 17 | 2010 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 1996 | 5 |
About David Pardoe
David Pardoe is a scholar working on Management Science and Operations Research, Artificial Intelligence, Marketing, Industrial and Manufacturing Engineering and Information Systems, having authored 24 papers that have together received 553 indexed citations. Recurring topics across this work include Auction Theory and Applications (14 papers), Consumer Market Behavior and Pricing (9 papers), Multi-Agent Systems and Negotiation (5 papers), Scheduling and Optimization Algorithms (4 papers), Animal Ecology and Behavior Studies (2 papers), Algorithms and Data Compression (2 papers), Computational Drug Discovery Methods (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Management Science and Operations Research (186 citations), Management Information Systems (93 citations), Marketing (78 citations), Artificial Intelligence (222 citations) and Industrial and Manufacturing Engineering (58 citations). David Pardoe has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Peter Stone, K Bachmann, Donald B. White, Nicholas K. Jong, Satinder Singh, Michael L. Littman, Maytal Saar‐Tsechansky, Michael S. Ryoo, Risto Miikkulainen and Manoj Thakur. Their work appears in journals such as Environmental Health Perspectives, INFORMS journal on computing, Lecture notes in computer science, Lecture notes in business information processing and International Conference on Automated Planning and Scheduling.
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.