Steve Harris
Impact in
- Health Informatics top 5%
- Human-Computer Interaction top 5%
Papers in
- Epidemiology 18
- Sepsis Diagnosis and Treatment 17
-
- Cardiac, Anesthesia and Surgical Outcomes 9
- Co-authors
- Barry Brumitt (2 shared papers)Brian Meyers (2 shared papers)John Krumm (1 shared paper)Michael Hale (1 shared paper)Steven A. Shafer (1 shared paper)Ramani Moonesinghe (7 shared papers)D. J. N. Wong (9 shared papers)Kathy Rowan (8 shared papers)
- Journals
- British Journal of Anaesthesia (6 papers)BMJ Open (3 papers)Anaesthesia (3 papers)BMC Bioinformatics (2 papers)The Lancet (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Steve Harris
63 papers receiving 2.1k citations
Steve Harris's Hit Papers
Peers
Comparison fields: 5 of 156
- Health Informatics 41
- Human-Computer Interaction 96
- Computer Vision and Pattern Recognition 343
- Modeling and Simulation 57
- Emergency Medicine 90
Countries citing papers authored by Steve Harris
This map shows the geographic impact of Steve Harris'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 Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Harris more than expected).
Fields of papers citing papers by Steve Harris
This network shows the impact of papers produced by Steve Harris. 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 Harris. The network helps show where Steve Harris may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Harris, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-camera multi-person tracking for EasyLiving Hit paper breakdown → | 2002 | 487 |
| 2 | Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study Hit paper breakdown → | 2020 | 336 |
| 3 | 2014 | 103 | |
| 4 | 2002 | 85 | |
| 5 | 2018 | 82 | |
| 6 | 2010 | 77 | |
| 7 | 2001 | 74 | |
| 8 | 2018 | 65 | |
| 9 | 2002 | 58 | |
| 10 | 2019 | 56 | |
| 11 | 2014 | 51 | |
| 12 | 2015 | 46 | |
| 13 | 2018 | 45 | |
| 14 | 2020 | 42 | |
| 15 | 2020 | 42 | |
| 16 | 2010 | 40 | |
| 17 | 2022 | 39 | |
| 18 | 2010 | 39 | |
| 19 | 2004 | 37 | |
| 20 | 2020 | 36 |
About Steve Harris
Steve Harris is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Emergency Medicine and Surgery, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (17 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers), Machine Learning in Healthcare (8 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Cardiac Arrest and Resuscitation (5 papers), Respiratory Support and Mechanisms (4 papers), Advanced Causal Inference Techniques (4 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Health Informatics (41 citations), Human-Computer Interaction (96 citations), Computer Vision and Pattern Recognition (343 citations), Modeling and Simulation (57 citations) and Emergency Medicine (90 citations). Steve Harris has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Barry Brumitt, Brian Meyers, John Krumm, Michael Hale, Steven A. Shafer, Ramani Moonesinghe, D. J. N. Wong, Kathy Rowan, Mervyn Singer and Spiros Denaxas. Their work appears in journals such as British Journal of Anaesthesia, BMJ Open, Anaesthesia, BMC Bioinformatics and The Lancet.
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.