Javier González-Castillo

8.1k citations
54 papers · 5.1k indexed · 1 hit paper · h-index 25
Topics
Functional Brain Connectivity Studies (42 papers)Advanced MRI Techniques and Applications (21 papers)Neural dynamics and brain function (19 papers)

In The Last Decade

Javier González-Castillo

53 papers receiving 5.0k citations

Hit Papers

Dynamic functional connectivity: Promise, issues, and int...2013202620172021201350010001.5k2.0k

Peers

Javier González-Castillo
Comparison fields: 5 of 132
  • Cognitive Neuroscience 4.3k
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Experimental and Cognitive Psychology 916
  • Social Psychology 431
  • Psychiatry and Mental health 249
Replace Emily S. Finn with:
Emily S. Finn United States
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Javier González-Castillo relative to Emily S. Finn United States Emily S. Finn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Javier González-Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Javier González-Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier González-Castillo. 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 Javier González-Castillo. The network helps show where Javier González-Castillo may publish in the future.

Co-authorship network of co-authors of Javier González-Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Javier González-Castillo. A scholar is included among the top collaborators of Javier González-Castillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier González-Castillo. Javier González-Castillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 18
5 39
6 60
7 18
8 36
9 213
10 45
11 10
12 43
13 14
14 95
15 14
16 9
17 23
18 154
19 277
20
A semantic web approach to service description for matchmaking of services
100

About Javier González-Castillo

Javier González-Castillo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 54 papers that have together received 5.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (42 papers), Advanced MRI Techniques and Applications (21 papers) and Neural dynamics and brain function (19 papers). The work is most often cited by research in Cognitive Neuroscience (4.3k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Experimental and Cognitive Psychology (916 citations). Javier González-Castillo has collaborated with scholars based in United States, Spain and Czechia. Frequent co-authors include Peter A. Bandettini, Daniel A. Handwerker, Gary H. Glover, Olaf Sporns, David Kemmerer, Vince D. Calhoun, Maurizio Corbetta, Vesa Kiviniemi, Stefania Della Penna and Thilo Womelsdorf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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