Steve Harris

65 papers receiving 2.3k citations

Steve Harris's Hit Papers

Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study 2020 · 340 citations
3400+8+16Years since publication100200300400500

Peers

Steve Harris
Comparison fields: 5 of 161
  • Health Informatics 43
  • Human-Computer Interaction 121
  • Computer Vision and Pattern Recognition 409
  • Modeling and Simulation 58
  • Emergency Medicine 92
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Citations per year

Countries citing papers authored by Steve Harris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Steve Harris Line = papers co-authored together Steve Harris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-camera multi-person tracking for EasyLiving
Hit paper breakdown →
2002566
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 →
2020340
3 2014107
4 2002106
5 200184
6 201882
7 201081
8 201869
9 200262
10 201958
11 201457
12 201048
13 201546
14 201845
15 202044
16 202042
17 202241
18 201041
19 202039
20 200437

About Steve Harris

Steve Harris is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Emergency Medicine and Economics and Econometrics, having authored 70 papers that have together received 2.4k 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 (43 citations), Human-Computer Interaction (121 citations), Computer Vision and Pattern Recognition (409 citations), Modeling and Simulation (58 citations) and Emergency Medicine (92 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, Kathy Rowan, D. J. N. Wong, Mervyn Singer and Spiros Denaxas. Their work appears in journals such as British Journal of Anaesthesia, BMJ Open, Anaesthesia, The Lancet and Journal of Critical Care.

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.

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