Daniel Teres

95 papers receiving 3.6k citations

Peers

Daniel Teres
Comparison fields: 5 of 136
  • Critical Care and Intensive Care Medicine 522
  • Emergency Medicine 581
  • Epidemiology 1.7k
  • Family Practice 75
  • Emergency Medical Services 230
Replace J. R. Le Gall with:
J. R. Le Gall France
Carl Sirio United States
P. G. Bastos United States
Roslyn A. Stone United States
Bekele Afessa United States
H. Burchardi Germany
Terry P. Clemmer United States
Jan Michael Zimmermann Switzerland
P. M. Suter Switzerland
Donald B. Chalfin United States
Daniel Teres relative to J. R. Le Gall France J. R. Le Gall's profile →
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Citations per year

Countries citing papers authored by Daniel Teres

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Teres, 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 Daniel Teres Line = papers co-authored together Daniel Teres links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001337
2 1985273
3 2007256
4 2003170
5 1988151
6 1994149
7 2003139
8
Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group.
1995137
9 1995129
10 1996129
11 1996124
12 1975115
13 198597
14 197384
15 198780
16 198780
17 199479
18 199173
19 197373
20 199070

About Daniel Teres

Daniel Teres is a scholar working on Epidemiology, Emergency Medicine, Surgery, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (36 papers), Hemodynamic Monitoring and Therapy (11 papers), Emergency and Acute Care Studies (11 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Healthcare Policy and Management (5 papers), Healthcare Operations and Scheduling Optimization (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (522 citations), Emergency Medicine (581 citations), Epidemiology (1.7k citations), Family Practice (75 citations) and Emergency Medical Services (230 citations). Daniel Teres has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include Stanley Lemeshow, Jill Spitz Avrunin, John Rapoport, Jay S. Steingrub, Harris Pastides, Thomas L. Higgins, Janelle Klar, STANLEY LEMESHOW, Brian H. Nathanson and Maureen Stark. Their work appears in journals such as Critical Care Medicine, Intensive Care Medicine, Journal of Intensive Care Medicine, Medical Care and Critical Care Clinics.

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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