Daniel Pérez-Chada

860 citations
21 papers · 594 · h-index 12

Impact in

Papers in

Daniel Pérez-Chada

19 papers receiving 571 citations

Peers

Daniel Pérez-Chada
Comparison fields: 5 of 90
  • Experimental and Cognitive Psychology 320
  • Endocrine and Autonomic Systems 119
  • Cognitive Neuroscience 155
  • Transportation 42
  • Physiology 137
Replace Kim Ward with:
Kim Ward New Zealand
María Oliva Márquez Spain
Salim Qadri United States
Renata Pecotić Croatia
Maja Valić Croatia
Katsuhiko Kawaminami Japan
Sabrina Hense Germany
Michel Niezborala France
José Carlos Souza Brazil
Neeraj Kumar Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pérez-Chada

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pérez-Chada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Pérez-Chada. 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 Pérez-Chada. The network helps show where Daniel Pérez-Chada may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007148
2 200586
3 201371
4 200762
5 201352
6 198934
7 202130
8 201521
9 202118
10 202317
11 199113
12 201411
13 20198
14 20237
15 20227
16 20223
17 20092
18 20242
19 20251
20 20071

About Daniel Pérez-Chada

Daniel Pérez-Chada is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems, Physiology, Cognitive Neuroscience and Infectious Diseases, having authored 21 papers that have together received 594 indexed citations. Recurring topics across this work include Sleep and related disorders (9 papers), Obstructive Sleep Apnea Research (7 papers), Neuroscience of respiration and sleep (6 papers), Sleep and Wakefulness Research (4 papers), Sleep and Work-Related Fatigue (4 papers), COVID-19 Clinical Research Studies (2 papers), Circadian rhythm and melatonin (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (320 citations), Endocrine and Autonomic Systems (119 citations), Cognitive Neuroscience (155 citations), Transportation (42 citations) and Physiology (137 citations). Daniel Pérez-Chada has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Alejandro J. Videla, Daniel P. Cardinali, Santiago Perez‐Lloret, Daniel E. Vigo, Martín O’Flaherty, Christopher L. Drake, Miguel Bergna, Gustavo Zabert, Felix R. Shardonofsky and J. Milic‐Emili. Their work appears in journals such as SLEEP, PLoS ONE, Sleep And Breathing, Pediatric Pulmonology and International Journal of Workplace Health Management.

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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