Will Smart

400 citations
6 papers · 101 · h-index 5

Impact in

    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Reinforcement Learning in Robotics
    • Machine Learning and Data Classification
    • Semantic Web and Ontologies
    • Advanced Multi-Objective Optimization Algorithms

Papers in

    • Evolutionary Algorithms and Applications 5
    • Metaheuristic Optimization Algorithms Research 5
    • Semantic Web and Ontologies 1
    • Reinforcement Learning in Robotics 1
    • Viral Infectious Diseases and Gene Expression in Insects 3

Will Smart

6 papers receiving 94 citations

Peers

Will Smart
Comparison fields: 5 of 27
  • Artificial Intelligence 89
  • Computational Theory and Mathematics 13
  • Geography, Planning and Development 3
  • Computer Vision and Pattern Recognition 9
  • Management Science and Operations Research 5
Replace Pavel Klinov with:
Pavel Klinov United Kingdom
Ishani Mondal India
Aakanksha Naik United States
Michael Bloodgood United States
Manuel Clergue France
Matan Eyal Israel
Aohan Zeng China
Arkady Epshteyn United States
Yulia Ledeneva Mexico
Irina Matveeva United States
Will Smart relative to Pavel Klinov United Kingdom Pavel Klinov's profile →
Citations per field
00.5×
Pavel Klinov · 1×
Citations per year

Countries citing papers authored by Will Smart

Since Specialization
Citations

This map shows the geographic impact of Will Smart'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 Will Smart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Smart more than expected).

Fields of papers citing papers by Will Smart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Smart. 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 Will Smart. The network helps show where Will Smart may publish in the future.

Co-authors

The 3 scholars most cited alongside Will Smart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Smart Line = papers co-authored together Will Smart links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 200648
2
Classification Strategies for Image Classification in Genetic Programming
200327
3
Applying online gradient descent search to genetic programming for object recognition
200411
4
Continuously Evolving Programs in Genetic Programming Using Gradient Descent
20046
5 20085
6 20114

About Will Smart

Will Smart is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computational Theory and Mathematics and Geography, Planning and Development, having authored 6 papers that have together received 101 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Semantic Web and Ontologies (1 paper), Reinforcement Learning in Robotics (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Artificial Intelligence (89 citations), Computational Theory and Mathematics (13 citations), Geography, Planning and Development (3 citations), Computer Vision and Pattern Recognition (9 citations) and Management Science and Operations Research (5 citations). Will Smart has collaborated with scholars based in New Zealand. Frequent co-authors include Jun Zhang, Mengjie Zhang and Mark Gahegan. Their work appears in journals such as 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.

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