Eva Rivas

53 papers receiving 815 citations

Peers

Eva Rivas
Comparison fields: 5 of 83
  • Anesthesiology and Pain Medicine 78
  • Critical Care and Intensive Care Medicine 66
  • Cognitive Neuroscience 137
  • Emergency Medicine 51
  • Epidemiology 194
Replace Valérie Gissot with:
Valérie Gissot France
Miguel Arango Canada
Bhiken I. Naik United States
Andrew Brown United States
Neus Fàbregas Spain
Luigi La Via Italy
Stein Silva France
Tarun D. Singh United States
Philippe Baele Belgium
Francisco Klein Argentina
Eva Rivas relative to Valérie Gissot France Valérie Gissot's profile →
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Citations per year

Countries citing papers authored by Eva Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Eva Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012209
2 200966
3 201055
4 201446
5 201445
6 202135
7 201333
8 202025
9 201823
10 202122
11 202021
12 201818
13 201818
14 201617
15 202313
16 201512
17 202212
18 201512
19 201811
20 201911

About Eva Rivas

Eva Rivas is a scholar working on Surgery, Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 827 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Hemodynamic Monitoring and Therapy (5 papers), Intensive Care Unit Cognitive Disorders (5 papers), Airway Management and Intubation Techniques (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Anesthesia and Sedative Agents (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (78 citations), Critical Care and Intensive Care Medicine (66 citations), Cognitive Neuroscience (137 citations), Emergency Medicine (51 citations) and Epidemiology (194 citations). Eva Rivas has collaborated with scholars based in Spain, United States and Israel. Frequent co-authors include Carme Junqué, Damian Cruse, Davinia Fernández‐Espejo, Alparslan Turan, David Menon, Andrea Soddu, Virginia Newcombe, Steven Laureys, Ebymar Arismendi and Adrian M. Owen. Their work appears in journals such as Journal of Clinical Anesthesia, PLoS ONE, British Journal of Anaesthesia, European Journal of Anaesthesiology and Anesthesia & Analgesia.

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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