Simon L. Harding
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Reservoir Computing
- Reinforcement Learning in Robotics
Papers in
-
- Evolutionary Algorithms and Applications 11
- Metaheuristic Optimization Algorithms Research 7
- Co-authors
- Julian F. MillerGunnar TufteWolfgang BanzhafEdward A. RietmanTing HuM.C. PettyFrancesca PalomboSophie Brasselet
- Journals
- Soft Computing (1 paper)Evolutionary Intelligence (1 paper)Genetic Programming and Evolvable Machines (1 paper)International journal of unconventional computing (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomCanadaNorway
In The Last Decade
Simon L. Harding
13 papers receiving 394 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 308
- Computational Theory and Mathematics 57
- Hardware and Architecture 14
- Cognitive Neuroscience 36
- Electrical and Electronic Engineering 105
Countries citing papers authored by Simon L. Harding
This map shows the geographic impact of Simon L. Harding'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 Simon L. Harding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon L. Harding more than expected).
Fields of papers citing papers by Simon L. Harding
This network shows the impact of papers produced by Simon L. Harding. 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 Simon L. Harding. The network helps show where Simon L. Harding may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Simon L. Harding, 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 | 6 | |
| 2 | 2015 | 8 | |
| 3 | 2014 | 9 | |
| 4 | 2014 | 56 | |
| 5 | 2014 | 11 | |
| 6 | 2014 | 10 | |
| 7 | 2011 | 1 | |
| 8 | 2010 | 160 | |
| 9 | 2010 | 19 | |
| 10 | 2009 | 12 | |
| 11 | 2008 | 52 | |
| 12 | 2007 | 35 | |
| 13 | 2006 | 31 |
About Simon L. Harding
Simon L. Harding is a scholar working on Artificial Intelligence, Biophysics, Cognitive Neuroscience, Mechanical Engineering and Electrical and Electronic Engineering, having authored 13 papers that have together received 410 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (7 papers), Modular Robots and Swarm Intelligence (3 papers), Gene Regulatory Network Analysis (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (2 papers), VLSI and FPGA Design Techniques (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Artificial Intelligence (308 citations), Computational Theory and Mathematics (57 citations), Hardware and Architecture (14 citations), Cognitive Neuroscience (36 citations) and Electrical and Electronic Engineering (105 citations). Simon L. Harding has collaborated with scholars based in United Kingdom, Canada and Norway. Frequent co-authors include Julian F. Miller, Gunnar Tufte, Wolfgang Banzhaf, Edward A. Rietman, Ting Hu, M.C. Petty, Julian F. Miller, Francesca Palombo, Sophie Brasselet and Nicholas Stone. Their work appears in journals such as Soft Computing, Evolutionary Intelligence, Genetic Programming and Evolvable Machines, International journal of unconventional computing and SHILAP Revista de lepidopterología.
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.