Kenneth D. Lawrence
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- Operations Management Techniques 5
- Forecasting Techniques and Applications 5
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models 8
- Management Information Systems top 10%
- Supply Chain and Inventory Management 9
- Big Data and Business Intelligence 3
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- Advanced Manufacturing and Logistics Optimization 3
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- Optimization and Mathematical Programming 8
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- Probabilistic and Robust Engineering Design 3
- Co-authors
- Gary R. ReevesRonald K. KlimbergJeffrey L. ArthurDouglas R. ShierZaven A. KarianEdward J. DudewiczStelios H. ZanakisLawrence C. Marsh
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityManagement Information Systems
- Partner nations
- United StatesHungaryNetherlands
In The Last Decade
Kenneth D. Lawrence
45 papers receiving 366 citations
Peers
Comparison fields: 5 of 107
- Management Science and Operations Research 147
- Statistics and Probability 63
- Management Information Systems 61
- Industrial and Manufacturing Engineering 49
- Software 16
Countries citing papers authored by Kenneth D. Lawrence
This map shows the geographic impact of Kenneth D. Lawrence'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 Kenneth D. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth D. Lawrence more than expected).
Fields of papers citing papers by Kenneth D. Lawrence
This network shows the impact of papers produced by Kenneth D. Lawrence. 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 Kenneth D. Lawrence. The network helps show where Kenneth D. Lawrence may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Kenneth D. Lawrence, 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 | 2020 | 0 | |
| 2 | 2018 | 1 | |
| 3 | 2015 | 0 | |
| 4 | 2010 | 3 | |
| 5 | 2010 | 3 | |
| 6 | Fundamentals of Forecasting Using Excel | 2008 | 59 |
| 7 | 2006 | 9 | |
| 8 | 1998 | 2 | |
| 9 | 1998 | 9 | |
| 10 | 1994 | 3 | |
| 11 | 1990 | 3 | |
| 12 | 1988 | 7 | |
| 13 | 1984 | 8 | |
| 14 | 1984 | 15 | |
| 15 | 1984 | 5 | |
| 16 | 1983 | 8 | |
| 17 | 1982 | 18 | |
| 18 | Applications of management science : a research annual | 1981 | 3 |
| 19 | 1974 | 11 | |
| 20 | 1974 | 7 |
About Kenneth D. Lawrence
Kenneth D. Lawrence is a scholar working on Management Information Systems, Statistics and Probability and Management Science and Operations Research, having authored 48 papers that have together received 391 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (9 papers), Advanced Statistical Methods and Models (8 papers), Optimization and Mathematical Programming (8 papers), Operations Management Techniques (5 papers), Forecasting Techniques and Applications (5 papers), Big Data and Business Intelligence (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Management Science and Operations Research (147 citations), Statistics and Probability (63 citations) and Management Information Systems (61 citations). Kenneth D. Lawrence has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Gary R. Reeves, Ronald K. Klimberg, Jeffrey L. Arthur, Douglas R. Shier, Zaven A. Karian, Edward J. Dudewicz, Stelios H. Zanakis, Lawrence C. Marsh, Michael D. Geurts and Gabriel R. Bitran.
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.