Steve Lloyd
Impact in
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- COVID-19 epidemiological studies
Papers in
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- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
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- Advanced Wireless Network Optimization 1
- Radio Frequency Integrated Circuit Design 1
- Co-authors
- Rebecca Weintraub (1 shared paper)Julie Rosenberg (1 shared paper)Prashant Yadav (1 shared paper)Kalipso Chalkidou (1 shared paper)Anthony McDonnell (1 shared paper)Jiabin Li (1 shared paper)David B. Willis (1 shared paper)Jian Wang (1 shared paper)
- Journals
- Physics World (1 paper)Herpetological Bulletin (1 paper)Journal of Physics Conference Series (1 paper)RePEc: Research Papers in Economics (1 paper)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Steve Lloyd
5 papers receiving 26 citations
Peers
Comparison fields: 5 of 25
- Modeling and Simulation 7
- Business and International Management 1
- Infectious Diseases 8
- Health 3
- Information Systems and Management 2
Countries citing papers authored by Steve Lloyd
This map shows the geographic impact of Steve Lloyd'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 Steve Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Lloyd more than expected).
Fields of papers citing papers by Steve Lloyd
This network shows the impact of papers produced by Steve Lloyd. 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 Steve Lloyd. The network helps show where Steve Lloyd may publish in the future.
Co-authors
The 19 scholars most cited alongside Steve Lloyd, 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 | 2006 | 14 | |
| 2 | COVID-19 Vaccine Predictions: Using Mathematical Modelling and Expert Opinions to Estimate Timelines and Probabilities of Success of COVID-19 Vaccines | 2020 | 10 |
| 3 | Herpetological observations from field expeditions to North Karnataka and Southwest Maharashtra, India | 2010 | 2 |
| 4 | 2010 | 1 | |
| 5 | 2003 | 1 | |
| 6 | Building and integrating a goalkeeper robot for the small-size RoboCup competition | 1999 | 0 |
About Steve Lloyd
Steve Lloyd is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Ecology, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 28 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Amphibian and Reptile Biology (1 paper), Species Distribution and Climate Change (1 paper), Advanced Wireless Network Optimization (1 paper), Radio Frequency Integrated Circuit Design (1 paper), COVID-19 epidemiological studies (1 paper), Reinforcement Learning in Robotics (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Modeling and Simulation (7 citations), Business and International Management (1 citation), Infectious Diseases (8 citations), Health (3 citations) and Information Systems and Management (2 citations). Steve Lloyd has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Rebecca Weintraub, Julie Rosenberg, Prashant Yadav, Kalipso Chalkidou, Anthony McDonnell, Jiabin Li, David B. Willis, Jian Wang, N. Amram and F. Luehring. Their work appears in journals such as Physics World, Herpetological Bulletin, Journal of Physics Conference Series and RePEc: Research Papers in Economics.
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.