Daniel Howard
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Explainable Artificial Intelligence (XAI)
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- Advanced Multi-Objective Optimization Algorithms
- Matrix Theory and Algorithms
Papers in
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- Evolutionary Algorithms and Applications 19
- Neural Networks and Applications 3
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- Traffic Prediction and Management Techniques 4
- Co-authors
- Joseph G. Kolibal (11 shared papers)Conor Ryan (5 shared papers)John R. Koza (1 shared paper)John S. Rollett (1 shared paper)William M. Connolley (1 shared paper)Mengjie Zhang (1 shared paper)Minvydas Kazys Ragulskis (2 shared papers)Krzysztof Krawiec (1 shared paper)
- Journals
- Soft Computing (3 papers)International Journal for Numerical Methods in Fluids (1 paper)Applied Soft Computing (1 paper)Chaos Solitons & Fractals (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Daniel Howard
39 papers receiving 410 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 266
- Computational Theory and Mathematics 40
- Computer Vision and Pattern Recognition 51
- Mathematical Physics 16
- Computational Mechanics 24
Countries citing papers authored by Daniel Howard
This map shows the geographic impact of Daniel Howard'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 Daniel Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Howard more than expected).
Fields of papers citing papers by Daniel Howard
This network shows the impact of papers produced by Daniel Howard. 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 Daniel Howard. The network helps show where Daniel Howard may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Howard, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic and Evolutionary Computation Conference 2008 : GECCO 2008 | 2008 | 83 |
| 2 | 2001 | 52 | |
| 3 | 2005 | 35 | |
| 4 | 1990 | 30 | |
| 5 | 2002 | 23 | |
| 6 | A staged genetic programming strategy for image analysis | 1999 | 21 |
| 7 | 1999 | 20 | |
| 8 | 2006 | 19 | |
| 9 | 2003 | 16 | |
| 10 | Genetic Programming solution of the convection-diffusion equation | 2001 | 15 |
| 11 | 2007 | 15 | |
| 12 | 2018 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2006 | 10 | |
| 15 | 2018 | 7 | |
| 16 | 2002 | 6 | |
| 17 | Genetic programming for image analysis: orientation detection | 2000 | 5 |
| 18 | 2005 | 5 | |
| 19 | 2006 | 5 | |
| 20 | 2003 | 4 |
About Daniel Howard
Daniel Howard is a scholar working on Artificial Intelligence, Building and Construction, Computer Vision and Pattern Recognition, Mathematical Physics and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 436 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (19 papers), Traffic Prediction and Management Techniques (4 papers), Neural Networks and Applications (3 papers), Numerical methods in inverse problems (3 papers), Traffic control and management (3 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Artificial Intelligence (266 citations), Computational Theory and Mathematics (40 citations), Computer Vision and Pattern Recognition (51 citations), Mathematical Physics (16 citations) and Computational Mechanics (24 citations). Daniel Howard has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Joseph G. Kolibal, Conor Ryan, John R. Koza, John S. Rollett, William M. Connolley, Mengjie Zhang, Minvydas Kazys Ragulskis, Krzysztof Krawiec, Adrian Brezulianu and Vasile Palade. Their work appears in journals such as Soft Computing, International Journal for Numerical Methods in Fluids, Applied Soft Computing, Chaos Solitons & Fractals and Pattern Recognition Letters.
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.