Tamas D. Ambrisko

735 citations
31 papers · 536 indexed · h-index 11

Tamas D. Ambrisko

29 papers receiving 510 citations

Peers

Tamas D. Ambrisko
Comparison fields: 5 of 85
  • Equine 106
  • Small Animals 208
  • Anesthesiology and Pain Medicine 103
  • Critical Care and Intensive Care Medicine 42
  • Pathology and Forensic Medicine 140
Replace Fernando L. Garcia‐Pereira with:
Fernando L. Garcia‐Pereira United States
Andre Shih United States
Newton Nunes Brazil
Tamara Grubb United States
Deborah V. Wilson United States
José Ignacio Redondo Spain
Karine Portier France
Luisito S. Pablo United States
Turi K. Aarnes United States
C. I. Dunlop United States
Tamas D. Ambrisko relative to Fernando L. Garcia‐Pereira United States Fernando L. Garcia‐Pereira's profile →
Citations per field
00.5×3.8×
Fernando L. Garcia‐Pereira · 1×
Citations per year

Countries citing papers authored by Tamas D. Ambrisko

Since Specialization
Citations

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

Fields of papers citing papers by Tamas D. Ambrisko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamas D. Ambrisko. 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 Tamas D. Ambrisko. The network helps show where Tamas D. Ambrisko may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20201
3 20198
4 201710
5 201728
6 20173
7 201526
8 201417
9 201313
10 20138
11 201316
12 20123
13 201238
14 201210
15 20125
16 20129
17 20112
18 20117
19 20064
20
A computer program for calculation of doses and prices of injectable medications based on body weight or body surface area.
20046

About Tamas D. Ambrisko

Tamas D. Ambrisko is a scholar working on Anesthesiology and Pain Medicine, Equine and Small Animals, having authored 31 papers that have together received 536 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (16 papers), Veterinary Pharmacology and Anesthesia (15 papers), Anesthesia and Sedative Agents (14 papers), Anesthesia and Pain Management (4 papers), Veterinary Equine Medical Research (4 papers), Airway Management and Intubation Techniques (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Equine (106 citations), Small Animals (208 citations) and Anesthesiology and Pain Medicine (103 citations). Tamas D. Ambrisko has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Yves Moens, Johannes Peter Schramel, Yoshiaki Hikasa, Ute Zeitz, Wolfgang M. Kuebler, Sabine C. Riesen, Reinhold G. Erben, Olena Andrukhova, Svetlana Slavić and Kota Sato. Their work appears in journals such as PLoS ONE, Molecular Endocrinology and British Journal of Anaesthesia.

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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2026