Richard Millham
Impact in
- Health Informatics top 5%
-
- Artificial Intelligence in Healthcare
Papers in
-
- Metaheuristic Optimization Algorithms Research 12
- Data Stream Mining Techniques 5
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- ICT in Developing Communities 4
- Data Mining Algorithms and Applications 4
- Co-authors
- Israel Edem Agbehadji (25 shared papers)Simon Fong (29 shared papers)A.B. Ngowi (1 shared paper)Bankole Awuzie (1 shared paper)Jason J. Jung (6 shared papers)Samuel Frimpong (8 shared papers)Raymond K. Wong (6 shared papers)Elliot Mbunge (9 shared papers)
- Journals
- Sensors (5 papers)International Journal of Environmental Research and Public Health (2 papers)Soft Computing (2 papers)Symmetry (2 papers)Computing (2 papers)
- Partner nations
- South AfricaMacaoChina
In The Last Decade
Richard Millham
76 papers receiving 614 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 26
- Health Information Management 49
- Modeling and Simulation 40
- Artificial Intelligence 193
- Information Systems 124
Countries citing papers authored by Richard Millham
This map shows the geographic impact of Richard Millham'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 Richard Millham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Millham more than expected).
Fields of papers citing papers by Richard Millham
This network shows the impact of papers produced by Richard Millham. 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 Richard Millham. The network helps show where Richard Millham may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Millham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 150 | |
| 2 | 2020 | 40 | |
| 3 | 2018 | 33 | |
| 4 | 2017 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2016 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2014 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Richard Millham
Richard Millham is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 87 papers that have together received 658 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Artificial Intelligence in Healthcare (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Data Stream Mining Techniques (5 papers), IoT and Edge/Fog Computing (4 papers), Time Series Analysis and Forecasting (4 papers), ICT in Developing Communities (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (49 citations), Modeling and Simulation (40 citations), Artificial Intelligence (193 citations) and Information Systems (124 citations). Richard Millham has collaborated with scholars based in South Africa, Macao and China. Frequent co-authors include Israel Edem Agbehadji, Simon Fong, A.B. Ngowi, Bankole Awuzie, Jason J. Jung, Samuel Frimpong, Raymond K. Wong, Elliot Mbunge, Maureen Nokuthula Sibiya and Kelvin K. L. Wong. Their work appears in journals such as Sensors, International Journal of Environmental Research and Public Health, Soft Computing, Symmetry and Computing.
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.