Lawrence M. Seiford
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- Efficiency Analysis Using DEA 43
- Multi-Criteria Decision Making 13
- Economics and Econometrics top 0.05%
- Economic Growth and Productivity 11
- Game Theory and Voting Systems 9
- Fiscal Policy and Economic Growth 8
- Economic and Environmental Valuation 5
- Finance top 0.5%
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- Monetary Policy and Economic Impact 6
- Management Information Systems top 0.5%
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- Optimization and Mathematical Programming 12
Lawrence M. Seiford
69 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Management Science and Operations Research 12.9k
- Economics and Econometrics 7.4k
- Finance 1.9k
- General Economics, Econometrics and Finance 1.2k
- Management Information Systems 1.2k
Countries citing papers authored by Lawrence M. Seiford
This map shows the geographic impact of Lawrence M. Seiford'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 Lawrence M. Seiford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence M. Seiford more than expected).
Fields of papers citing papers by Lawrence M. Seiford
This network shows the impact of papers produced by Lawrence M. Seiford. 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 Lawrence M. Seiford. The network helps show where Lawrence M. Seiford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lawrence M. Seiford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 12 | |
| 2 | Introduction to Data Envelopment Analysis and Its Usesbreakdown → | 2006 | 473 |
| 3 | 2005 | 2 | |
| 4 | Organizational Efficiency as a Determinant of Learning and Selection: Insights from Data Envelopment Analysis | 2004 | 1 |
| 5 | 2004 | 84 | |
| 6 | 2003 | 258 | |
| 7 | 2003 | 42 | |
| 8 | Modeling undesirable factors in efficiency evaluationbreakdown → | 2002 | 1190 |
| 9 | Data Envelopment Analysisbreakdown → | 2000 | 835 |
| 10 | 1998 | 21 | |
| 11 | 1996 | 153 | |
| 12 | 1994 | 113 | |
| 13 | 1992 | 61 | |
| 14 | 1991 | 8 | |
| 15 | 1991 | 1 | |
| 16 | 1988 | 6 | |
| 17 | 1988 | 1 | |
| 18 | 1986 | 29 | |
| 19 | 1983 | 6 | |
| 20 | 1983 | 3 |
About Lawrence M. Seiford
Lawrence M. Seiford is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 70 papers that have together received 16.7k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (43 papers), Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (12 papers), Economic Growth and Productivity (11 papers), Game Theory and Voting Systems (9 papers), Fiscal Policy and Economic Growth (8 papers), Monetary Policy and Economic Impact (6 papers) and Economic and Environmental Valuation (5 papers). The work is most often cited by research in Management Science and Operations Research (12.9k citations), Economics and Econometrics (7.4k citations) and Finance (1.9k citations). Lawrence M. Seiford has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include W. W. Cooper, Kaoru Tone, Joe Zhu, Robert Thrall, Arie Y. Lewin, A. Charnes, Wade D. Cook, Agha Iqbal Ali, Moshe Kress and Thomas F. Siems. Their work appears in journals such as Management Science, European Journal of Operational Research and Journal of Econometrics.
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.