Thomas Havey

865 total citations
8 papers, 305 citations indexed

About

Thomas Havey is a scholar working on Epidemiology, Applied Microbiology and Biotechnology and Infectious Diseases. According to data from OpenAlex, Thomas Havey has authored 8 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Applied Microbiology and Biotechnology and 2 papers in Infectious Diseases. Recurrent topics in Thomas Havey's work include Antibiotic Use and Resistance (4 papers), Urinary Tract Infections Management (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Thomas Havey is often cited by papers focused on Antibiotic Use and Resistance (4 papers), Urinary Tract Infections Management (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Thomas Havey collaborates with scholars based in Canada, United States and Ireland. Thomas Havey's co-authors include Nick Daneman, Robert Fowler, Sameer Kumar, Ruxandra Pinto, Marion Elligsen, Sagar Rohailla, David Lightfoot, Linda R. Taggart, Matthew Muller and Christopher F. Lowe and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Bone and Joint Surgery and International Journal of Production Economics.

In The Last Decade

Thomas Havey

8 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Havey Canada 6 135 107 82 63 58 8 305
Emily Potter United States 9 40 0.3× 153 1.4× 135 1.6× 20 0.3× 39 0.7× 12 352
Jan-Willem H. Dik Netherlands 10 183 1.4× 157 1.5× 77 0.9× 24 0.4× 19 0.3× 18 404
Juliano Gasparetto Brazil 9 82 0.6× 45 0.4× 33 0.4× 18 0.3× 52 0.9× 21 181
Li Min Ling Singapore 7 100 0.7× 67 0.6× 34 0.4× 19 0.3× 32 0.6× 10 231
Suzanne D. van der Werff Sweden 11 46 0.3× 86 0.8× 62 0.8× 32 0.5× 10 0.2× 31 290
Bernadette Cappello Switzerland 8 177 1.3× 86 0.8× 18 0.2× 9 0.1× 28 0.5× 14 321
Laura A. Liedtke United States 9 100 0.7× 109 1.0× 71 0.9× 23 0.4× 66 1.1× 12 313
Lin M. Riccio United States 9 98 0.7× 147 1.4× 49 0.6× 102 1.6× 39 0.7× 11 399
Janice Tetreault United States 8 13 0.1× 103 1.0× 50 0.6× 11 0.2× 7 0.1× 11 361
Edward L. Goodman United States 7 113 0.8× 107 1.0× 76 0.9× 27 0.4× 136 2.3× 10 358

Countries citing papers authored by Thomas Havey

Since Specialization
Citations

This map shows the geographic impact of Thomas Havey'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 Thomas Havey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Havey more than expected).

Fields of papers citing papers by Thomas Havey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Havey. 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 Thomas Havey. The network helps show where Thomas Havey may publish in the future.

Co-authorship network of co-authors of Thomas Havey

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Havey. A scholar is included among the top collaborators of Thomas Havey 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 Thomas Havey. Thomas Havey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
McCready, Janine, et al.. (2020). Assessment of a 2-Step Urine Culture Ordering Process for Detecting Asymptomatic Bacteruria Among Hospitalized Patients. JAMA Network Open. 3(2). e1921665–e1921665. 2 indexed citations
2.
Rohailla, Sagar, Linda R. Taggart, David Lightfoot, et al.. (2018). Antimicrobial Stewardship and Intensive Care Unit Mortality: A Systematic Review. Clinical Infectious Diseases. 68(5). 748–756. 50 indexed citations
3.
Havey, Thomas, Mark Hull, Marc G. Romney, & Victor C. M. Leung. (2015). Retrospective cohort study of inappropriate piperacillin-tazobactam use for lower respiratory tract and skin and soft tissue infections: Opportunities for antimicrobial stewardship. American Journal of Infection Control. 43(9). 946–950. 6 indexed citations
4.
Havey, Thomas, Robert Fowler, Ruxandra Pinto, Marion Elligsen, & Nick Daneman. (2013). Duration of Antibiotic Therapy for Critically Ill Patients with Bloodstream Infections: A Retrospective Cohort Study. Canadian Journal of Infectious Diseases and Medical Microbiology. 24(3). 129–137. 35 indexed citations
5.
Kumar, Sameer & Thomas Havey. (2013). Before and after disaster strikes: A relief supply chain decision support framework. International Journal of Production Economics. 145(2). 613–629. 65 indexed citations
6.
Havey, Thomas, Christine Cserti‐Gazdewich, Michelle Sholzberg, Jay S. Keystone, & Wayne L. Gold. (2012). Recurrent Disseminated Intravascular Coagulation Caused by Intermittent Dosing of Rifampin. American Journal of Tropical Medicine and Hygiene. 86(2). 264–267. 13 indexed citations
7.
Havey, Thomas, Robert Fowler, & Nick Daneman. (2011). Duration of antibiotic therapy for bacteremia: a systematic review and meta-analysis. Critical Care. 15(6). R267–R267. 130 indexed citations
8.
Bryant, Dianne, Thomas Havey, Robin Roberts, & Gordon Guyatt. (2006). HOW MANY PATIENTS? HOW MANY LIMBS? ANALYSIS OF PATIENTS OR LIMBS IN THE ORTHOPAEDIC LITERATURE. Journal of Bone and Joint Surgery. 88(1). 41–45. 4 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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