Eva Rivas

52 papers receiving 764 citations

Peers

Eva Rivas
Comparison fields: 5 of 88
  • Anesthesiology and Pain Medicine 117
  • Critical Care and Intensive Care Medicine 77
  • Emergency Medicine 86
  • Cognitive Neuroscience 160
  • Developmental Neuroscience 27
Replace Valérie Gissot with:
Valérie Gissot France
Frédéric Dailler France
Neus Fàbregas Spain
Tarja Randell Finland
Tarun D. Singh United States
Miguel Arango Canada
Michael Reznik United States
Hiroshi Sasano Japan
Luigi La Via Italy
Anne Chao Taiwan
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012198
2 200961
3 201053
4 201444
5 201442
6 202133
7 201333
8 201822
9 202022
10 202020
11 202120
12 201818
13 201816
14 201615
15 201512
16 202211
17 202311
18 201911
19 201511
20 201811

About Eva Rivas

Eva Rivas is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Internal Medicine and Health Informatics, having authored 58 papers that have together received 775 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (15 papers), Hemodynamic Monitoring and Therapy (13 papers), Airway Management and Intubation Techniques (8 papers), Anesthesia and Sedative Agents (7 papers), Respiratory Support and Mechanisms (7 papers), Anesthesia and Pain Management (7 papers), Intensive Care Unit Cognitive Disorders (5 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (117 citations), Critical Care and Intensive Care Medicine (77 citations), Emergency Medicine (86 citations), Cognitive Neuroscience (160 citations) and Developmental Neuroscience (27 citations). Eva Rivas has collaborated with scholars based in Spain, United States and Israel. Frequent co-authors include Damian Cruse, Carme Junqué, Davinia Fernández‐Espejo, Adrian M. Owen, Steven Laureys, Audrey Vanhaudenhuyse, Eva Palacios, Virginia Newcombe, John D. Pickard and Andrea Soddu. Their work appears in journals such as Journal of Clinical Anesthesia, British Journal of Anaesthesia, European Journal of Anaesthesiology, PLoS ONE 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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