Daniel E. Rio

960 citations
25 papers · 741 · h-index 12

Impact in

Papers in

Daniel E. Rio

23 papers receiving 697 citations

Peers

Daniel E. Rio
Comparison fields: 5 of 103
  • Behavioral Neuroscience 71
  • Cognitive Neuroscience 263
  • Biological Psychiatry 33
  • Cellular and Molecular Neuroscience 171
  • Computational Mathematics 4
Replace Peter Mondrup Rasmussen with:
Peter Mondrup Rasmussen Denmark
April J. Ho United States
Yunchun Chen China
Wai-Hon Tsui United States
Emma Muñoz‐Moreno Spain
Jan Sääf Sweden
Suh Lee United States
Leonie Lampe Germany
Priya Rajagopalan United States
Zhenghua Hou China
Daniel E. Rio relative to Peter Mondrup Rasmussen Denmark Peter Mondrup Rasmussen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Rio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Rio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014129
2 1999118
3 1998116
4 197964
5 199764
6 199243
7 199440
8 199537
9 199733
10 199626
11 199317
12 199311
13 19869
14 19887
15 19905
16 20064
17 20224
18 20024
19 20003
20 19803

About Daniel E. Rio

Daniel E. Rio is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Neurology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 741 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (5 papers), Alcoholism and Thiamine Deficiency (4 papers), Medical Image Segmentation Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Neurological and metabolic disorders (3 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Cognitive Neuroscience (263 citations), Biological Psychiatry (33 citations), Cellular and Molecular Neuroscience (171 citations) and Computational Mathematics (4 citations). Daniel E. Rio has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Urs E. Ruttimann, Daniel W. Hommer, Robert R. Rawlings, Paul Andreason, Reza Momenan, Michael J. Eckardt, Karen Sirocco, Wendy J. Lombardi, John C. Umhau and Michaël Unser. Their work appears in journals such as Neuropsychopharmacology, Psychiatry Research Neuroimaging, Biological Psychiatry, Journal of Neuroscience and NeuroImage.

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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