S. K. Smit
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
Papers in
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- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 5
- Reinforcement Learning in Robotics 4
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- Advanced Multi-Objective Optimization Algorithms 4
- Co-authors
- A. E. Eiben (6 shared papers)Á. E. Eiben (2 shared papers)Evert Haasdijk (2 shared papers)Maya Sappelli (1 shared paper)Zhiwen Joseph Lo (1 shared paper)Tillman Weyde (1 shared paper)Menko‐Jan de Boer (1 shared paper)Martijn C. Schut (1 shared paper)
- Journals
- Evolutionary Intelligence (1 paper)Swarm and Evolutionary Computation (1 paper)International Wound Journal (1 paper)Data Archiving and Networked Services (DANS) (4 papers)VU Research Portal (1 paper)
- Partner nations
- NetherlandsSingaporeJapan
In The Last Decade
S. K. Smit
10 papers receiving 616 citations
S. K. Smit's Hit Papers
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 227
- Artificial Intelligence 381
- Industrial and Manufacturing Engineering 97
- Software 30
- Management Science and Operations Research 46
Countries citing papers authored by S. K. Smit
This map shows the geographic impact of S. K. Smit'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 S. K. Smit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. Smit more than expected).
Fields of papers citing papers by S. K. Smit
This network shows the impact of papers produced by S. K. Smit. 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 S. K. Smit. The network helps show where S. K. Smit may publish in the future.
Co-authors
The 9 scholars most cited alongside S. K. Smit, 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 | Parameter tuning for configuring and analyzing evolutionary algorithms Hit paper breakdown → | 2011 | 419 |
| 2 | 2009 | 158 | |
| 3 | 2010 | 32 | |
| 4 | 2023 | 14 | |
| 5 | 2012 | 13 | |
| 6 | Multi-Problem Parameter Tuning using BONESA | 2011 | 8 |
| 7 | A vision on Prescriptive Analytics | 2017 | 2 |
| 8 | 2008 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2019 | 0 |
About S. K. Smit
S. K. Smit is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Occupational Therapy, Automotive Engineering and Management Information Systems, having authored 11 papers that have together received 649 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Reinforcement Learning in Robotics (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Autonomous Vehicle Technology and Safety (1 paper), Wound Healing and Treatments (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (227 citations), Artificial Intelligence (381 citations), Industrial and Manufacturing Engineering (97 citations), Software (30 citations) and Management Science and Operations Research (46 citations). S. K. Smit has collaborated with scholars based in Netherlands, Singapore and Japan. Frequent co-authors include A. E. Eiben, Á. E. Eiben, Evert Haasdijk, Maya Sappelli, Zhiwen Joseph Lo, Tillman Weyde, Menko‐Jan de Boer, Martijn C. Schut and Mark Hoogendoorn. Their work appears in journals such as Evolutionary Intelligence, Swarm and Evolutionary Computation, International Wound Journal, Data Archiving and Networked Services (DANS) and VU Research Portal.
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.