Ivan Chytra

1.0k citations
12 papers · 717 · 1 hit paper · h-index 9

Impact in

Papers in

Ivan Chytra

12 papers receiving 688 citations

Ivan Chytra's Hit Papers

Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: results of prospective randomized study 2010 · 350 citations
3500+5+10Years since publication100200300

Peers

Ivan Chytra
Comparison fields: 5 of 55
  • Critical Care and Intensive Care Medicine 75
  • Cardiology and Cardiovascular Medicine 238
  • Surgery 450
  • Applied Microbiology and Biotechnology 20
  • Nephrology 51
Replace Eduard Kasal with:
Eduard Kasal Czechia
Richard Pradl Czechia
Vincent Cottenceau France
Loay Kontar France
Julien Amour France
Sarah Heenen Belgium
Cecilia Luengo Chile
M Bisà Italy
J. Wayne Meredith United States
Noelle Lim Singapore
Ivan Chytra relative to Eduard Kasal Czechia Eduard Kasal's profile →
Citations per field
00.5×1.5×
Eduard Kasal · 1×
Citations per year

Countries citing papers authored by Ivan Chytra

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Chytra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Ivan Chytra, 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 Ivan Chytra Line = papers co-authored together Ivan Chytra links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: results of prospective randomized study
Hit paper breakdown →
2010350
2 2012120
3 2007118
4 201436
5 201529
6 201220
7 201814
8 200312
9 201411
10 20124
11 20092
12 20051

About Ivan Chytra

Ivan Chytra is a scholar working on Surgery, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Pharmacology and Genetics, having authored 12 papers that have together received 717 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (6 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Intensive Care Unit Cognitive Disorders (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Non-Invasive Vital Sign Monitoring (1 paper), Anesthesia and Sedative Agents (1 paper) and Abdominal Surgery and Complications (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (75 citations), Cardiology and Cardiovascular Medicine (238 citations), Surgery (450 citations), Applied Microbiology and Biotechnology (20 citations) and Nephrology (51 citations). Ivan Chytra has collaborated with scholars based in Czechia. Frequent co-authors include Eduard Kasal, Richard Pradl, Jan Beneš, Martin Štěpán, Tamara Bergerová, Jakub Kletečka, Josef Sýkora, Jana Varvařovská, F Stožický and Marek Brabec. Their work appears in journals such as Critical Care, Journal of Clinical Monitoring and Computing, BMC Anesthesiology, European Journal of Pediatrics and Acta Neurochirurgica.

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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