Lawrence Davis
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Vehicle Routing Optimization Methods
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Evolutionary Algorithms and Applications 12
- Metaheuristic Optimization Algorithms Research 12
- Neural Networks and Applications 7
- Fuzzy Logic and Control Systems 3
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- Optimization and Packing Problems 2
- Advanced Manufacturing and Logistics Optimization 2
- Co-authors
- David J. Montana (1 shared paper)James D. Kelly (2 shared papers)Frank E. Ritter (1 shared paper)Yuping Qiu (1 shared paper)Anthony J. Cox (1 shared paper)David C. Hyland (4 shared papers)Tina Yu (2 shared papers)Dennis S. Bernstein (2 shared papers)
- Journals
- Journal of Heuristics (2 papers)Philosophy East and West (1 paper)Lecture notes in computer science (1 paper)Studies in computational intelligence (2 papers)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Lawrence Davis
32 papers receiving 9.4k citations
Lawrence Davis's Hit Papers
Peers
Comparison fields: 5 of 194
- Industrial and Manufacturing Engineering 2.2k
- Artificial Intelligence 4.7k
- Computational Theory and Mathematics 1.7k
- Management Science and Operations Research 808
- Control and Systems Engineering 1.2k
Countries citing papers authored by Lawrence Davis
This map shows the geographic impact of Lawrence Davis'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 Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Davis more than expected).
Fields of papers citing papers by Lawrence Davis
This network shows the impact of papers produced by Lawrence Davis. 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 Davis. The network helps show where Lawrence Davis may publish in the future.
Co-authors
The 20 scholars most cited alongside Lawrence Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Handbook of Genetic Algorithms Hit paper breakdown → | 1991 | 5959 |
| 2 | Genetic Algorithms and Simulated Annealing Hit paper breakdown → | 1987 | 1443 |
| 3 | Training feedforward neural networks using genetic algorithms Hit paper breakdown → | 1989 | 782 |
| 4 | Job Shop Scheduling with Genetic Algorithms Hit paper breakdown → | 1985 | 628 |
| 5 | Applying adaptive algorithms to epistatic domains | 1985 | 535 |
| 6 | Adapting operator probabilities in genetic algorithms | 1989 | 459 |
| 7 | A hybrid genetic algorithm for classification | 1991 | 122 |
| 8 | Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification Algorithm. | 1991 | 93 |
| 9 | Shall We Repair? Genetic AlgorithmsCombinatorial Optimizationand Feasibility Constraints | 1993 | 63 |
| 10 | A Genetic Algorithm for Survivable Network Design | 1993 | 53 |
| 11 | Genetic algorithms and communication link speed design: theoretical considerations | 1987 | 38 |
| 12 | SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. | 1987 | 31 |
| 13 | 2008 | 27 | |
| 14 | Genetic algorithms and communication link speed design: constraints and operators | 1987 | 25 |
| 15 | A Modified Classifier System Compaction Algorithm | 2002 | 24 |
| 16 | Mapping Neural Networks into Classifier Systems | 1989 | 22 |
| 17 | Mapping Classifier Systems Into Neural Networks | 1988 | 19 |
| 18 | 1985 | 16 | |
| 19 | 1985 | 11 | |
| 20 | 1997 | 9 |
About Lawrence Davis
Lawrence Davis is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 35 papers that have together received 10.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (12 papers), Metaheuristic Optimization Algorithms Research (12 papers), Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (3 papers), Optimization and Packing Problems (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.2k citations), Artificial Intelligence (4.7k citations), Computational Theory and Mathematics (1.7k citations), Management Science and Operations Research (808 citations) and Control and Systems Engineering (1.2k citations). Lawrence Davis has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David J. Montana, James D. Kelly, Frank E. Ritter, Yuping Qiu, Anthony J. Cox, David C. Hyland, Tina Yu, Dennis S. Bernstein, Rajkumar Roy and Stewart W. Wilson. Their work appears in journals such as Journal of Heuristics, Philosophy East and West, Lecture notes in computer science, Studies in computational intelligence and Uncertainty in Artificial Intelligence.
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.