Robert Keight
Impact in
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- Online Learning and Analytics
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Imbalanced Data Classification Techniques 5
- Data Stream Mining Techniques 1
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- Online Learning and Analytics 4
- Co-authors
- Raghad Al-Shabandar (5 shared papers)Abir Hussain (10 shared papers)Abir Hussain (3 shared papers)Panos Liatsis (2 shared papers)Andy Laws (2 shared papers)Mohammed Khalaf (6 shared papers)Paul Fergus (6 shared papers)Dhiya Al‐Jumeily (6 shared papers)
- Journals
- IEEE Access (2 papers)Neurocomputing (1 paper)Liverpool John Moores University (4 papers)
- Partner nations
- United KingdomIraqUnited Arab Emirates
In The Last Decade
Robert Keight
13 papers receiving 359 citations
Peers
Comparison fields: 5 of 75
- Computer Science Applications 188
- Health Informatics 19
- Health Information Management 44
- Artificial Intelligence 149
- Physical Therapy, Sports Therapy and Rehabilitation 16
Countries citing papers authored by Robert Keight
This map shows the geographic impact of Robert Keight'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 Robert Keight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Keight more than expected).
Fields of papers citing papers by Robert Keight
This network shows the impact of papers produced by Robert Keight. 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 Robert Keight. The network helps show where Robert Keight may publish in the future.
Co-authors
The 18 scholars most cited alongside Robert Keight, 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 | 2017 | 84 | |
| 2 | 2020 | 44 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2016 | 32 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2015 | 25 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 11 | |
| 12 | 2017 | 7 | |
| 13 | 2015 | 6 |
About Robert Keight
Robert Keight is a scholar working on Artificial Intelligence, Computer Science Applications, Genetics, Molecular Biology and Health Information Management, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (5 papers), Online Learning and Analytics (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Machine Learning in Bioinformatics (2 papers), Artificial Intelligence in Healthcare (2 papers), Data Stream Mining Techniques (1 paper), Hydrology and Drought Analysis (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Computer Science Applications (188 citations), Health Informatics (19 citations), Health Information Management (44 citations), Artificial Intelligence (149 citations) and Physical Therapy, Sports Therapy and Rehabilitation (16 citations). Robert Keight has collaborated with scholars based in United Kingdom, Iraq and United Arab Emirates. Frequent co-authors include Raghad Al-Shabandar, Abir Hussain, Abir Hussain, Panos Liatsis, Andy Laws, Mohammed Khalaf, Paul Fergus, Dhiya Al‐Jumeily, Naeem Radi and Wasiq Khan. Their work appears in journals such as IEEE Access, Neurocomputing and Liverpool John Moores University.
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.