Daniel Teres

92 papers receiving 3.4k citations

Peers

Daniel Teres
Comparison fields: 5 of 142
  • Critical Care and Intensive Care Medicine 698
  • Emergency Medicine 1.0k
  • Epidemiology 1.8k
  • Geriatrics and Gerontology 171
  • Emergency Medical Services 306
Replace P. G. Bastos with:
P. G. Bastos United States
Carl Sirio United States
Neil A. Halpern United States
Roslyn A. Stone United States
G. Iapichino Italy
Thomas L. Higgins United States
Terry P. Clemmer United States
José Labarère France
Donald B. Chalfin United States
Gilles Capellier France
Daniel Teres relative to P. G. Bastos United States P. G. Bastos's profile →
Citations per field
00.5×1.5×2.0×
P. G. Bastos · 1×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001317
2 1985246
3 2007243
4 2003165
5 1988141
6 2003135
7 1994132
8 1996122
9
Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group.
1995122
10 1995116
11 1996115
12 1975105
13 198586
14 197376
15 198775
16 198774
17 199171
18 199471
19 197367
20 199065

About Daniel Teres

Daniel Teres is a scholar working on Epidemiology, Emergency Medicine, Surgery, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (31 papers), Emergency and Acute Care Studies (20 papers), Hemodynamic Monitoring and Therapy (13 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Healthcare Policy and Management (7 papers), Intensive Care Unit Cognitive Disorders (6 papers), Insurance, Mortality, Demography, Risk Management (6 papers) and Healthcare Operations and Scheduling Optimization (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (698 citations), Emergency Medicine (1.0k citations), Epidemiology (1.8k citations), Geriatrics and Gerontology (171 citations) and Emergency Medical Services (306 citations). Daniel Teres has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Stanley Lemeshow, Jill Spitz Avrunin, John Rapoport, Jay S. Steingrub, Harris Pastides, Thomas L. Higgins, Janelle Klar, Brian H. Nathanson, STANLEY LEMESHOW and Maureen Stark. Their work appears in journals such as Critical Care Medicine, Intensive Care Medicine, Journal of Intensive Care Medicine, Medical Care and CHEST Journal.

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.

Explore authors with similar magnitude of impact