Daniel Harborne
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Topic Modeling
- Machine Learning and Data Classification
Papers in
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- Scientific Computing and Data Management 2
-
- Explainable Artificial Intelligence (XAI) 3
- Machine Learning and Data Classification 3
- Speech and dialogue systems 2
- Bayesian Modeling and Causal Inference 2
- Adversarial Robustness in Machine Learning 2
- AI-based Problem Solving and Planning 2
- Co-authors
- Dave BrainesAlun PreeceRichard TomsettMurat ŞensoyMoustafa AlzantotMani SrivastavaSupriyo ChakrabortyRamya Raghavendra
- Journals
- Future Generation Computer Systems (1 paper)ORCA Online Research @Cardiff (Cardiff University) (4 papers)ECS Journal of Solid State Science and Technology (The Electrochemical Society) (1 paper)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
Daniel Harborne
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 19
- Artificial Intelligence 163
- Information Systems and Management 15
- Biophysics 9
- Health Information Management 7
Countries citing papers authored by Daniel Harborne
This map shows the geographic impact of Daniel Harborne'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 Daniel Harborne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Harborne more than expected).
Fields of papers citing papers by Daniel Harborne
This network shows the impact of papers produced by Daniel Harborne. 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 Daniel Harborne. The network helps show where Daniel Harborne may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Daniel Harborne, 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 | 8 | |
| 2 | 2019 | 25 | |
| 3 | 2019 | 1 | |
| 4 | Conversational control interface to facilitate situational understanding in a city surveillance setting | 2018 | 3 |
| 5 | 2018 | 3 | |
| 6 | 2018 | 10 | |
| 7 | Integrating learning and reasoning services for explainable information fusion | 2018 | 9 |
| 8 | Conversational homes: a uniform natural language approach for collaboration among humans and devices | 2017 | 5 |
| 9 | 2017 | 246 | |
| 10 | 2017 | 6 |
About Daniel Harborne
Daniel Harborne is a scholar working on Information Systems and Management, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Building and Construction, having authored 10 papers that have together received 316 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Machine Learning and Data Classification (3 papers), Speech and dialogue systems (2 papers), Bayesian Modeling and Causal Inference (2 papers), Distributed and Parallel Computing Systems (2 papers), Adversarial Robustness in Machine Learning (2 papers), Scientific Computing and Data Management (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Health Informatics (19 citations), Artificial Intelligence (163 citations), Information Systems and Management (15 citations), Biophysics (9 citations) and Health Information Management (7 citations). Daniel Harborne has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Dave Braines, Alun Preece, Richard Tomsett, Murat Şensoy, Moustafa Alzantot, Mani Srivastava, Supriyo Chakraborty, Ramya Raghavendra, Federico Cerutti and Simon Julier. Their work appears in journals such as Future Generation Computer Systems, ORCA Online Research @Cardiff (Cardiff University) and ECS Journal of Solid State Science and Technology (The Electrochemical Society).
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.