Lawrence L. Lapin
- Global and Planetary Change
- Management Science and Operations Research top 10%
- Astronomy and Astrophysics
- Control and Systems Engineering
- Atmospheric Science
- Co-authors
- Gary S. WassermanKinley LarntzZ. KmietowiczClive ElphickDavid TargettR.E. ZiemerJagdish K. PatelJames L. Rosenberger
- Topics
- Spreadsheets and End-User Computing (1 paper)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical AssociationTechnometricsJournal of the Operational Research Society
- Partner nations
- United KingdomUnited States
In The Last Decade
Lawrence L. Lapin
17 papers receiving 435 citations
Peers
Comparison fields: 5 of 163
- Global and Planetary Change 42
- Management Science and Operations Research 40
- Astronomy and Astrophysics 36
- Control and Systems Engineering 36
- Atmospheric Science 35
Countries citing papers authored by Lawrence L. Lapin
This map shows the geographic impact of Lawrence L. Lapin'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 L. Lapin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence L. Lapin more than expected).
Fields of papers citing papers by Lawrence L. Lapin
This network shows the impact of papers produced by Lawrence L. Lapin. 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 L. Lapin. The network helps show where Lawrence L. Lapin may publish in the future.
Co-authorship network of co-authors of Lawrence L. Lapin
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence L. Lapin. A scholar is included among the top collaborators of Lawrence L. Lapin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence L. Lapin. Lawrence L. Lapin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quantitative Decision Making with Spreadsheet Applications | 4 |
| 2 | 2 | |
| 3 | 37 | |
| 4 | Cases in management science | 2 |
| 5 | 154 | |
| 6 | Quantitative Methods for Business Decisions: With Cases | 14 |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 12 | |
| 11 | Management science for business decisions | 2 |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 8 | |
| 16 | Statistics: Meaning and method | 83 |
| 17 | 77 |
About Lawrence L. Lapin
Lawrence L. Lapin is a scholar working on Software, Infectious Diseases and Organic Chemistry, having authored 17 papers that have together received 520 indexed citations. Recurring topics across this work include Spreadsheets and End-User Computing (1 paper). The work is most often cited by research in Statistics and Probability (35 citations), Management Science and Operations Research (40 citations) and Statistics, Probability and Uncertainty (20 citations). Lawrence L. Lapin has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Gary S. Wasserman, Kinley Larntz, Z. Kmietowicz, Clive Elphick, David Targett, R.E. Ziemer, Jagdish K. Patel, James L. Rosenberger and Rodney D. Johnson. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of the Operational Research Society.
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.