David E. Goldberg
- Artificial Intelligence top 0.01%
- Metaheuristic Optimization Algorithms Research 140
- Evolutionary Algorithms and Applications 134
- Machine Learning and Data Classification 11
- Computational Theory and Mathematics top 0.01%
- Advanced Multi-Objective Optimization Algorithms 60
- Industrial and Manufacturing Engineering top 0.02%
- Control and Systems Engineering top 0.1%
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- Viral Infectious Diseases and Gene Expression in Insects 15
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- Water resources management and optimization 14
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- Water Systems and Optimization 12
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- Various Chemistry Research Topics 11
- Co-authors
- William ShakespeareJohn H. HollandKalyanmoy DebMartin PelikánJeffrey HornFernando G. LoboBrad L. MillerErick Cantú‐Paz
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- Evolutionary Computation (19 papers)IEEE Transactions on Evolutionary Computation (4 papers)Information Sciences (3 papers)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
David E. Goldberg
296 papers receiving 42.1k citations
Hit Papers
Peers
Comparison fields: 5 of 227
- Artificial Intelligence 19.9k
- Computational Theory and Mathematics 9.4k
- Industrial and Manufacturing Engineering 4.4k
- Management Science and Operations Research 2.6k
- Control and Systems Engineering 4.7k
Countries citing papers authored by David E. Goldberg
This map shows the geographic impact of David E. Goldberg'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 David E. Goldberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Goldberg more than expected).
Fields of papers citing papers by David E. Goldberg
This network shows the impact of papers produced by David E. Goldberg. 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 David E. Goldberg. The network helps show where David E. Goldberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Goldberg, 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 | Creating Scalable Reform in Engineering Education Through Low-Cost In- trinsic Motivation Course Conversions of Engineering Courses | 2013 | 3 |
| 2 | Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools | 2007 | 2 |
| 3 | Efficient discretization scheduling in multiple dimensions | 2002 | 3 |
| 4 | Multi-objective bayesian optimization algorithm | 2002 | 56 |
| 5 | On the supply of building blocks | 2001 | 37 |
| 6 | Verification of the theory of genetic algorithm continuation | 2001 | 1 |
| 7 | Efficient evaluation relaxation under integrated fitness functions | 2001 | 2 |
| 8 | Bayesian optimization algorithm, decision graphs, and Occam's razor | 2001 | 35 |
| 9 | Building block superiority, multimodality and synchronization problems | 2001 | 12 |
| 10 | Don't evaluate, inherit | 2001 | 59 |
| 11 | Time complexity of genetic algorithms on exponentially scaled problems | 2000 | 70 |
| 12 | Optimizing global-local search hybrids | 1999 | 120 |
| 13 | Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. | 1997 | 33 |
| 14 | Special Issue on Genetic Algorithms. Toward a Better Understanding of Mixing in Genetic Algorithms. | 1993 | 2 |
| 15 | Ordering Genetic Algorithms and Deception. | 1992 | 26 |
| 16 | Genetic algorithms, noise, and the sizing of populations | 1991 | 377 |
| 17 | Genetic Algorithms and Computer-Assisted Music Composition | 1991 | 75 |
| 18 | Genetic Algorithms and the Variance of Fitness. | 1991 | 65 |
| 19 | A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing. | 1990 | 131 |
| 20 | Zen and the Art of Genetic Algorithms | 1989 | 57 |
About David E. Goldberg
David E. Goldberg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Architecture, having authored 305 papers that have together received 46.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (140 papers), Evolutionary Algorithms and Applications (134 papers), Advanced Multi-Objective Optimization Algorithms (60 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), Water resources management and optimization (14 papers), Water Systems and Optimization (12 papers), Machine Learning and Data Classification (11 papers) and Various Chemistry Research Topics (11 papers). The work is most often cited by research in Artificial Intelligence (19.9k citations), Computational Theory and Mathematics (9.4k citations) and Industrial and Manufacturing Engineering (4.4k citations). David E. Goldberg has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include William Shakespeare, John H. Holland, Kalyanmoy Deb, Martin Pelikán, Jeffrey Horn, Fernando G. Lobo, Brad L. Miller, Erick Cantú‐Paz, Kumara Sastry and R. Lingle. Their work appears in journals such as Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Information Sciences, Machine Learning and The Journal of Physical Chemistry.
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.