Roy E. Lave

1.4k citations
12 papers · 966 · 1 hit paper · h-index 7

Impact in

Papers in

Roy E. Lave

11 papers receiving 834 citations

Roy E. Lave's Hit Papers

Quality Control and Industrial Statistics. 1967 · 743 citations
7430+19+39Years since publication200400600

Peers

Roy E. Lave
Comparison fields: 5 of 142
  • Statistics, Probability and Uncertainty 469
  • Statistics and Probability 223
  • Medical Laboratory Technology 41
  • Management Science and Operations Research 191
  • Industrial and Manufacturing Engineering 140
Replace Kenneth E. Case with:
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Roy E. Lave relative to Kenneth E. Case United States Kenneth E. Case's profile →
Citations per field
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Kenneth E. Case · 1×
Citations per year

Countries citing papers authored by Roy E. Lave

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roy E. Lave Line = papers co-authored together Roy E. Lave links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Quality Control and Industrial Statistics.
Hit paper breakdown →
1967743
2 1973143
3 197331
4
STATE OF THE ART OF PARATRANSIT
200014
5
A Handbook for Acquiring Demand-Responsive Transit Software
199614
6 19696
7 19686
8 19665
9
Engineering Education Lost Among the Steeples: Let's Reward Good Teaching!.
19711
10
METHODOLOGY FOR CONDUCTING A TRANSPORTATION SURVEY OF PERSONS WITH DISABILITIES
19921
11
UNIFICATION: PAINLESS CONSOLIDATION OF SPECIAL SERVICES
19911
12 20131

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 966 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (3 papers), Advanced Statistical Process Monitoring (2 papers), Urban Transport and Accessibility (2 papers), Digital Rights Management and Security (1 paper), Optimization and Search Problems (1 paper), Bayesian Modeling and Causal Inference (1 paper), Peer-to-Peer Network Technologies (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (469 citations), Statistics and Probability (223 citations), Medical Laboratory Technology (41 citations), Management Science and Operations Research (191 citations) and Industrial and Manufacturing Engineering (140 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, Gail Fondahl, Peter d'A. Jones and David G. Newman. Their work appears in journals such as Management Science, Operations Research, Journal of Engineering Education, Comparative Education Review and Journal of the American Statistical Association.

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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