Steve Harris

3.9k total citations · 2 hit papers
66 papers, 2.2k citations indexed

About

Steve Harris is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Emergency Medicine. According to data from OpenAlex, Steve Harris has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 16 papers in Cardiology and Cardiovascular Medicine and 13 papers in Emergency Medicine. Recurrent topics in Steve Harris's work include Sepsis Diagnosis and Treatment (16 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers) and Machine Learning in Healthcare (11 papers). Steve Harris is often cited by papers focused on Sepsis Diagnosis and Treatment (16 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers) and Machine Learning in Healthcare (11 papers). Steve Harris collaborates with scholars based in United Kingdom, United States and Netherlands. Steve Harris's 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 and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Steve Harris

63 papers receiving 2.1k citations

Hit Papers

Multi-camera multi-person tracking for EasyLiving 2002 2026 2010 2018 2002 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-camera multi-person tracking for EasyLiving
    2002 485 citations John Krumm, Steve Harris et al. profile →
  2. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study
    2020 330 citations Steve Harris et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steve Harris United Kingdom 25 343 320 307 295 268 66 2.2k
Feipei Lai Taiwan 30 305 0.9× 231 0.7× 231 0.8× 343 1.2× 237 0.9× 293 3.5k
Hubert Roth Germany 33 375 1.1× 432 1.4× 167 0.5× 169 0.6× 235 0.9× 211 3.6k
Jinseok Lee South Korea 32 199 0.6× 577 1.8× 1.3k 4.1× 259 0.9× 206 0.8× 301 4.3k
Valerie King United States 33 128 0.4× 284 0.9× 106 0.3× 87 0.3× 421 1.6× 117 4.2k
S. Parker United Kingdom 33 465 1.4× 636 2.0× 581 1.9× 218 0.7× 948 3.5× 135 5.6k
Bobak J. Mortazavi United States 25 303 0.9× 415 1.3× 861 2.8× 91 0.3× 246 0.9× 109 2.5k
Waleed Ahmed Egypt 21 101 0.3× 197 0.6× 345 1.1× 68 0.2× 163 0.6× 50 1.5k
Michael Marschollek Germany 30 565 1.6× 257 0.8× 98 0.3× 74 0.3× 198 0.7× 168 2.6k
Marco A. F. Pimentel United Kingdom 22 204 0.6× 506 1.6× 694 2.3× 98 0.3× 469 1.8× 54 3.0k
Ashish Goel India 24 100 0.3× 207 0.6× 146 0.5× 50 0.2× 214 0.8× 123 2.9k

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-authorship network of co-authors of Steve Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Harris. A scholar is included among the top collaborators of Steve Harris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Harris. Steve Harris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ferrando-Vivas, Paloma, Manu Shankar‐Hari, Karen Thomas, et al.. (2022). Improving risk prediction model quality in the critically ill: data linkage study. SHILAP Revista de lepidopterología. 10(39). 1–192. 1 indexed citations
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Vistisen, Simon Tilma, Tom Pollard, Steve Harris, & Simon Meyer Lauritsen. (2022). Artificial intelligence in the clinical setting. European Journal of Anaesthesiology. 39(9). 729–732. 2 indexed citations
7.
King, Zella, Martin Utley, Samer Elkhodair, et al.. (2022). Machine learning for real-time aggregated prediction of hospital admission for emergency patients. npj Digital Medicine. 5(1). 104–104. 37 indexed citations
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Newcombe, Virginia, Tim Coats, Paul Dark, et al.. (2021). The future of acute and emergency care. Future Healthcare Journal. 8(2). e230–e236. 2 indexed citations
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Shah, Anoop D, Niall MacCallum, Steve Harris, et al.. (2021). Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Collaborative*. Critical Care Medicine. 49(11). 1883–1894. 15 indexed citations
10.
Wong, D. J. N., Steve Harris, Arun Sahni, et al.. (2020). Developing and validating subjective and objective risk-assessment measures for predicting mortality after major surgery: An international prospective cohort study. PLoS Medicine. 17(10). e1003253–e1003253. 40 indexed citations
11.
Shah, Anoop D, David Brealey, Steve Harris, et al.. (2020). Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. IEEE Journal of Biomedical and Health Informatics. 24(10). 2950–2959. 33 indexed citations
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Ingle, Taylor, Catherine Li, Zhichao Liu, et al.. (2020). Study of pharmacogenomic information in FDA-approved drug labeling to facilitate application of precision medicine. Drug Discovery Today. 25(5). 813–820. 27 indexed citations
13.
Krishnamoorthy, Vijay, D. J. N. Wong, M.G.F. Wilson, et al.. (2020). Causal inference in perioperative medicine observational research: part 1, a graphical introduction. British Journal of Anaesthesia. 125(3). 393–397. 10 indexed citations
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Harris, Steve, et al.. (2018). High flow nasal oxygen therapy. British Journal of Hospital Medicine. 79(1). C13–C15. 3 indexed citations
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Lin, Xiaorong, et al.. (2014). Fungal Morphogenesis. Cold Spring Harbor Perspectives in Medicine. 5(2). a019679–a019679. 48 indexed citations
17.
Harris, Steve, et al.. (2010). Leading a Horse to Water: Connecting Home-Bound Students to Their Classrooms Using Skype Technology. EdMedia: World Conference on Educational Media and Technology. 2010(1). 3474–3480.
18.
Ackland, Gareth L., et al.. (2010). Revised cardiac risk index and postoperative morbidity after elective orthopaedic surgery: a prospective cohort study. British Journal of Anaesthesia. 105(6). 744–752. 39 indexed citations
19.
Krumm, John, Steve Harris, Brian Meyers, et al.. (2002). Multi-camera multi-person tracking for EasyLiving. 3–10. 485 indexed citations breakdown →
20.
Harris, Steve. (2000). Computerised Data Collection for Disease Assessment in a Vasculits Clinic. Arthritis & Rheumatism. 43(9). 1 indexed citations

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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