Daniel Paz Martín

401 citations
21 papers · 36 indexed · h-index 4

Daniel Paz Martín

11 papers receiving 34 citations

Peers

Daniel Paz Martín
Comparison fields: 5 of 31
  • Critical Care and Intensive Care Medicine 6
  • Anesthesiology and Pain Medicine 6
  • Health Informatics 1
  • Nephrology 4
  • Emergency Medical Services 4
Replace Guilherme Benfatti Olivato with:
Guilherme Benfatti Olivato Brazil
Ana B. Serrano Spain
D. Forte Brazil
Sree Satyapriya United States
Małgorzata Starczewska Poland
Ángela Marulanda Colombia
Matej Jenko Slovenia
Alexandra Torborg South Africa
S Huidobro Spain
Luiz Fernando Reis Falcão Brazil
Daniel Paz Martín relative to Guilherme Benfatti Olivato Brazil Guilherme Benfatti Olivato's profile →
Citations per field
00.5×
Guilherme Benfatti Olivato · 1×
Citations per year

Countries citing papers authored by Daniel Paz Martín

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paz Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Paz Martín. 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 Paz Martín. The network helps show where Daniel Paz Martín may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Daniel Paz Martín, 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 Paz Martín Line = papers co-authored together Daniel Paz Martín links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20231
4 20230
5 20221
6 202110
7 20210
8 20200
9 20203
10 20193
11 20191
12 20181
13 20171
14 20174
15 20162
16 20150
17 20130
18 20121
19 20117
20 19700

About Daniel Paz Martín

Daniel Paz Martín is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Radiological and Ultrasound Technology, having authored 21 papers that have together received 36 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (9 papers), Intensive Care Unit Cognitive Disorders (7 papers), Hemodynamic Monitoring and Therapy (5 papers), Airway Management and Intubation Techniques (3 papers), Family and Patient Care in Intensive Care Units (3 papers), Anesthesia and Neurotoxicity Research (2 papers), Respiratory Support and Mechanisms (2 papers) and Hip and Femur Fractures (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (6 citations), Anesthesiology and Pain Medicine (6 citations) and Health Informatics (1 citation). Daniel Paz Martín has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Juan Carlos Ruíz de Adana, Pablo Monedero, Juan Carlos Valía, Carmen Sánchez, Daniel Arnal Velasco, Antonio Valentı́n, Juan Arévalo‐Serrano, Etienne Holl, Eduardo Tamayo and Alejandro Suárez-de-la-Rica. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Gastroenterology.

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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