Christopher Lazarus
Impact in
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- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
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- Autonomous Vehicle Technology and Safety
Papers in
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- Adversarial Robustness in Machine Learning 2
- Evolutionary Algorithms and Applications 1
- Metaheuristic Optimization Algorithms Research 1
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- Health, Medicine and Society 2
- Aging, Elder Care, and Social Issues 2
- Co-authors
- Huosheng Hu (2 shared papers)Changliu Liu (1 shared paper)Clark Barrett (1 shared paper)Mykel J. Kochenderfer (2 shared papers)
- Journals
- arXiv (Cornell University) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
Christopher Lazarus
5 papers receiving 30 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 24
- Automotive Engineering 4
- Control and Systems Engineering 7
- Software 1
- Computer Vision and Pattern Recognition 5
Countries citing papers authored by Christopher Lazarus
This map shows the geographic impact of Christopher Lazarus'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 Christopher Lazarus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Lazarus more than expected).
Fields of papers citing papers by Christopher Lazarus
This network shows the impact of papers produced by Christopher Lazarus. 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 Christopher Lazarus. The network helps show where Christopher Lazarus may publish in the future.
Co-authors
The 4 scholars most cited alongside Christopher Lazarus, 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 | 16 | |
| 2 | Using Genetic Programming to Evolve Robot Behaviours | 2001 | 12 |
| 3 | Evolving Goalkeeper Behaviours for Simulated Soccer Competition | 2003 | 1 |
| 4 | 2022 | 1 | |
| 5 | 2015 | 1 |
About Christopher Lazarus
Christopher Lazarus is a scholar working on Artificial Intelligence, General Health Professions, Philosophy, Hardware and Architecture and Computational Theory and Mathematics, having authored 5 papers that have together received 31 indexed citations. Recurring topics across this work include Hermeneutics and Narrative Identity (2 papers), Health, Medicine and Society (2 papers), Adversarial Robustness in Machine Learning (2 papers), Aging, Elder Care, and Social Issues (2 papers), Evolutionary Algorithms and Applications (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (24 citations), Automotive Engineering (4 citations), Control and Systems Engineering (7 citations), Software (1 citation) and Computer Vision and Pattern Recognition (5 citations). Christopher Lazarus has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Huosheng Hu, Changliu Liu, Clark Barrett and Mykel J. Kochenderfer. Their work appears in journals such as arXiv (Cornell University) and CERN Document Server (European Organization for Nuclear Research).
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.