Roy E. Lave
Impact in
-
- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
Papers in
-
- Transportation Planning and Optimization 3
- Urban Transport and Accessibility 2
- Co-authors
- Acheson J. Duncan (1 shared paper)Jay Satia (2 shared papers)R F Teal (1 shared paper)James V. Jucker (1 shared paper)Peter d'A. Jones (1 shared paper)David G. Newman (1 shared paper)Gail Fondahl (1 shared paper)
- Journals
- Comparative Education Review (1 paper)Journal of Engineering Education (1 paper)Management Science (1 paper)Journal of the American Statistical Association (1 paper)Operations Research (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Roy E. Lave
11 papers receiving 898 citations
Roy E. Lave's Hit Papers
Peers
Comparison fields: 5 of 143
- Statistics, Probability and Uncertainty 495
- Medical Laboratory Technology 43
- Statistics and Probability 236
- Management Science and Operations Research 208
- Industrial and Manufacturing Engineering 148
Countries citing papers authored by Roy E. Lave
This map shows the geographic impact of Roy E. Lave'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 Roy E. Lave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy E. Lave more than expected).
Fields of papers citing papers by Roy E. Lave
This network shows the impact of papers produced by Roy E. Lave. 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 Roy E. Lave. The network helps show where Roy E. Lave may publish in the future.
Co-authors
The 7 scholars most cited alongside Roy E. Lave, 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 | Quality Control and Industrial Statistics. Hit paper breakdown → | 1967 | 797 |
| 2 | 1973 | 163 | |
| 3 | 1973 | 36 | |
| 4 | STATE OF THE ART OF PARATRANSIT | 2000 | 14 |
| 5 | A Handbook for Acquiring Demand-Responsive Transit Software | 1996 | 14 |
| 6 | 1968 | 7 | |
| 7 | 1969 | 6 | |
| 8 | 1966 | 5 | |
| 9 | Engineering Education Lost Among the Steeples: Let's Reward Good Teaching!. | 1971 | 1 |
| 10 | UNIFICATION: PAINLESS CONSOLIDATION OF SPECIAL SERVICES | 1991 | 1 |
| 11 | METHODOLOGY FOR CONDUCTING A TRANSPORTATION SURVEY OF PERSONS WITH DISABILITIES | 1992 | 1 |
| 12 | 2013 | 1 |
About Roy E. Lave
Roy E. Lave is a scholar working on Transportation, Computer Networks and Communications, Artificial Intelligence, Statistics, Probability and Uncertainty and Political Science and International Relations, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (3 papers), Urban Transport and Accessibility (2 papers), Advanced Statistical Process Monitoring (2 papers), Transportation and Mobility Innovations (1 paper), Bayesian Modeling and Causal Inference (1 paper), Digital Rights Management and Security (1 paper), Reinforcement Learning in Robotics (1 paper) and Commonwealth, Australian Politics and Federalism (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (495 citations), Medical Laboratory Technology (43 citations), Statistics and Probability (236 citations), Management Science and Operations Research (208 citations) and Industrial and Manufacturing Engineering (148 citations). Roy E. Lave has collaborated with scholars based in United States and Mexico. Frequent co-authors include Acheson J. Duncan, Jay Satia, R F Teal, James V. Jucker, Peter d'A. Jones, David G. Newman and Gail Fondahl. Their work appears in journals such as Comparative Education Review, Journal of Engineering Education, Management Science, Journal of the American Statistical Association and Operations Research.
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.