María Rodriguez-Fernández

2.3k citations
55 papers · 1.5k indexed · h-index 18

María Rodriguez-Fernández

51 papers receiving 1.4k citations

Peers

María Rodriguez-Fernández
Comparison fields: 5 of 167
  • Statistics, Probability and Uncertainty 187
  • Behavioral Neuroscience 79
  • Biological Psychiatry 28
  • Computational Theory and Mathematics 149
  • Endocrine and Autonomic Systems 56
Replace N.A.W. van Riel with:
N.A.W. van Riel Netherlands
R.M. Edwards United Kingdom
Weiping Shi United States
Lufeng Hu China
Joachim Kunert Germany
Juergen Hahn United States
Sun China
William S. Rayens United States
Margriet M. W. B. Hendriks Netherlands
Jie Peng China
María Rodriguez-Fernández relative to N.A.W. van Riel Netherlands N.A.W. van Riel's profile →
Citations per field
00.5×8.8×
N.A.W. van Riel · 1×
Citations per year

Countries citing papers authored by María Rodriguez-Fernández

Since Specialization
Citations

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

Fields of papers citing papers by María Rodriguez-Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Rodriguez-Fernández. 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 María Rodriguez-Fernández. The network helps show where María Rodriguez-Fernández may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20247
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12 20237
13 20233
14 20223
15 20217
16 20203
17 20193
18 201516
19 201013
20 2006201

About María Rodriguez-Fernández

María Rodriguez-Fernández is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Biological Psychiatry, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (9 papers), Blood Pressure and Hypertension Studies (5 papers), Neuroscience of respiration and sleep (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Neurobiology of Language and Bilingualism (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (187 citations), Behavioral Neuroscience (79 citations) and Biological Psychiatry (28 citations). María Rodriguez-Fernández has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Julio R. Banga, José A. Egea, Pedro Mendes, Francis J. Doyle, Sergei Kucherenko, C.C. Pantelides, Nilay Shah, K. Sriram, Rafael Martı́ and Eva Balsa‐Canto. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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