Daniel Harborne
Impact in
- Health Informatics top 5%
- 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
-
- Explainable Artificial Intelligence (XAI) 4
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Data Classification 3
- AI-based Problem Solving and Planning 2
- Bayesian Modeling and Causal Inference 2
- Speech and dialogue systems 2
- Co-authors
- Dave Braines (7 shared papers)Alun Preece (10 shared papers)Richard Tomsett (3 shared papers)Ramya Raghavendra (3 shared papers)Moustafa Alzantot (3 shared papers)Mani Srivastava (3 shared papers)Murat Şensoy (2 shared papers)Federico Cerutti (2 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)Communications in computer and information science (1 paper)ORCA Online Research @Cardiff (Cardiff University) (7 papers)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
Daniel Harborne
11 papers receiving 364 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 24
- Artificial Intelligence 186
- Information Systems and Management 19
- Computer Vision and Pattern Recognition 36
- Safety Research 14
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-authors
The 25 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 | 2017 | 275 | |
| 2 | 2019 | 32 | |
| 3 | 2019 | 12 | |
| 4 | 2018 | 11 | |
| 5 | 2020 | 10 | |
| 6 | Integrating learning and reasoning services for explainable information fusion | 2018 | 9 |
| 7 | Conversational homes: a uniform natural language approach for collaboration among humans and devices | 2017 | 9 |
| 8 | 2017 | 7 | |
| 9 | Conversational control interface to facilitate situational understanding in a city surveillance setting | 2018 | 3 |
| 10 | 2018 | 3 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 |
About Daniel Harborne
Daniel Harborne is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems and Management, Social Psychology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 373 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning and Data Classification (3 papers), Scientific Computing and Data Management (3 papers), AI-based Problem Solving and Planning (2 papers), Bayesian Modeling and Causal Inference (2 papers), Human-Automation Interaction and Safety (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (186 citations), Information Systems and Management (19 citations), Computer Vision and Pattern Recognition (36 citations) and Safety Research (14 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, Ramya Raghavendra, Moustafa Alzantot, Mani Srivastava, Murat Şensoy, Federico Cerutti, Supriyo Chakraborty and Raghuveer Rao. Their work appears in journals such as Future Generation Computer Systems, Communications in computer and information science and ORCA Online Research @Cardiff (Cardiff 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.