Mitchell Valdés-Sosa

4.1k total citations
59 papers, 1.6k citations indexed

About

Mitchell Valdés-Sosa is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Mitchell Valdés-Sosa has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 8 papers in Clinical Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Mitchell Valdés-Sosa's work include Neural and Behavioral Psychology Studies (18 papers), Face Recognition and Perception (16 papers) and Neural dynamics and brain function (13 papers). Mitchell Valdés-Sosa is often cited by papers focused on Neural and Behavioral Psychology Studies (18 papers), Face Recognition and Perception (16 papers) and Neural dynamics and brain function (13 papers). Mitchell Valdés-Sosa collaborates with scholars based in Cuba, China and Canada. Mitchell Valdés-Sosa's co-authors include María A. Bobes, Valia Rodrı́guez, Ela I. Olivares, Pascal Belin, Giancarlo Valente, Agustín Lage‐Castellanos, Rainer Goebel, Lorna García‐Pentón, Cyril Pernet and David Fleming and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Mitchell Valdés-Sosa

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitchell Valdés-Sosa Cuba 23 1.2k 342 180 161 148 59 1.6k
Daniel A. Abrams United States 22 1.7k 1.4× 361 1.1× 474 2.6× 127 0.8× 192 1.3× 44 2.2k
Troy A. W. Visser Australia 23 1.4k 1.2× 308 0.9× 251 1.4× 254 1.6× 69 0.5× 98 1.8k
Rajeev D. S. Raizada United States 22 1.4k 1.1× 318 0.9× 247 1.4× 193 1.2× 40 0.3× 31 1.7k
Michael A. Motes United States 24 869 0.7× 462 1.4× 240 1.3× 196 1.2× 40 0.3× 57 1.9k
Jason Fischer United States 17 1.4k 1.1× 350 1.0× 129 0.7× 219 1.4× 65 0.4× 37 1.6k
Giovanni Galfano Italy 27 1.9k 1.6× 733 2.1× 275 1.5× 410 2.5× 308 2.1× 71 2.3k
Jordan M. Province United States 7 933 0.8× 376 1.1× 253 1.4× 275 1.7× 157 1.1× 7 1.5k
Gezinus Wolters Netherlands 21 1.1k 0.9× 242 0.7× 286 1.6× 259 1.6× 87 0.6× 49 1.4k
Thomas Fangmeier Germany 17 786 0.7× 235 0.7× 180 1.0× 134 0.8× 48 0.3× 40 1.2k
Robert A. Mason United States 12 1.3k 1.1× 243 0.7× 324 1.8× 288 1.8× 43 0.3× 17 1.7k

Countries citing papers authored by Mitchell Valdés-Sosa

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Valdés-Sosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell Valdés-Sosa. 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 Mitchell Valdés-Sosa. The network helps show where Mitchell Valdés-Sosa may publish in the future.

Co-authorship network of co-authors of Mitchell Valdés-Sosa

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Valdés-Sosa. A scholar is included among the top collaborators of Mitchell Valdés-Sosa 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 Mitchell Valdés-Sosa. Mitchell Valdés-Sosa 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
1.
Marinazzo, Daniele, et al.. (2024). Intra-V1 functional networks and classification of observed stimuli. Frontiers in Neuroinformatics. 18. 1080173–1080173.
2.
Jin, Yu, Lídice Galán‐Garcia, Peng Ren, et al.. (2024). The determinants of COVID-induced brain dysfunctions after SARS-CoV-2 infection in hospitalized patients. Frontiers in Neuroscience. 17. 1249282–1249282. 4 indexed citations
3.
Areces-González, Ariosky, Deirel Paz-Linares, Ying Wang, et al.. (2024). CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics. Frontiers in Neuroscience. 18. 1237245–1237245. 4 indexed citations
4.
Valdés-Sosa, Mitchell, et al.. (2023). Relationship between gait parameters and cognitive indexes in adult aging. PLoS ONE. 18(9). e0291963–e0291963. 3 indexed citations
5.
Sahli, Hichem, et al.. (2022). Stable Sparse Classifiers predict cognitive impairment from gait patterns. Frontiers in Psychology. 13. 894576–894576. 1 indexed citations
6.
Valdés-Sosa, Mitchell, Agustín Lage‐Castellanos, Jinnan Gong, et al.. (2020). Objects seen as scenes: Neural circuitry for attending whole or parts. NeuroImage. 210. 116526–116526. 6 indexed citations
7.
Lage‐Castellanos, Agustín, et al.. (2018). Recurrent Activation of Neural Circuits during Attention to Global and Local Visual Information. The Spanish Journal of Psychology. 21. E17–E17.
8.
Bobes, María A., et al.. (2016). Testing the connections within face processing circuitry in Capgras delusion with diffusion imaging tractography. NeuroImage Clinical. 11. 30–40. 10 indexed citations
9.
Hasan, Bashar, Mitchell Valdés-Sosa, Joachim Groß, & Pascal Belin. (2016). “Hearing faces and seeing voices”: Amodal coding of person identity in the human brain. Scientific Reports. 6(1). 37494–37494. 34 indexed citations
10.
Pernet, Cyril, Phil McAleer, Marianne Latinus, et al.. (2015). The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices. NeuroImage. 119. 164–174. 176 indexed citations
11.
Valdés-Sosa, Mitchell, María A. Bobes, Ileana Quiñones, et al.. (2011). Covert face recognition without the fusiform-temporal pathways. NeuroImage. 57(3). 1162–1176. 33 indexed citations
12.
Valdés-Sosa, Mitchell, Lorna García‐Pentón, & Alejandro Pérez. (2008). Rightward shift in temporal order judgements in the wake of the attentional blink. SHILAP Revista de lepidopterología. 8 indexed citations
13.
Bobes, María A., et al.. (2007). Brain potentials reflect access to visual and emotional memories for faces. Biological Psychology. 75(2). 146–153. 39 indexed citations
14.
Rodrı́guez, Valia, et al.. (2004). Two-object attentional interference depends on attentional set. International Journal of Psychophysiology. 53(2). 127–134. 15 indexed citations
15.
Bobes, María A., et al.. (2003). Covert Matching of Unfamiliar Faces in a Case of Prosopagnosia: an ERP Study. Cortex. 39(1). 41–56. 27 indexed citations
16.
Valdés-Sosa, Mitchell, et al.. (2001). Attentional shifts between surfaces: effects on detection and early brain potentials. Vision Research. 41(13). 1619–1630. 39 indexed citations
17.
Valdés-Sosa, Mitchell, et al.. (1999). Visual evoked potentials related to motion-onset are modulated by attention. Vision Research. 39(24). 4122–4139. 31 indexed citations
18.
Bobes, María A., et al.. (1994). Associative ERP effects with memories of artificial faces. Cognitive Brain Research. 2(1). 39–48. 16 indexed citations
19.
Valdés‐Sosa, Pedro A., et al.. (1989). Detection of Event Related Potentials. International Journal of Neuroscience. 46(3-4). 109–122. 8 indexed citations
20.
Pérez-Abalo, M.C., Mitchell Valdés-Sosa, María A. Bobes, Lı́dice Galán, & R. Biscay. (1988). Different Functional Properties of on and Off Components in Auditory Brain stem Responses to Tone Bursts. International Journal of Audiology. 27(5). 249–259. 3 indexed citations

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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