Cláudia Dias

153 total papers · 697 total citations
88 papers, 478 citations indexed

About

Cláudia Dias is a scholar working on Social Psychology, Developmental and Educational Psychology and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Cláudia Dias has authored 88 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Social Psychology, 38 papers in Developmental and Educational Psychology and 18 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Cláudia Dias's work include Motivation and Self-Concept in Sports (54 papers), Sport Psychology and Performance (32 papers) and Physical Education and Pedagogy (18 papers). Cláudia Dias is often cited by papers focused on Motivation and Self-Concept in Sports (54 papers), Sport Psychology and Performance (32 papers) and Physical Education and Pedagogy (18 papers). Cláudia Dias collaborates with scholars based in Portugal, United States and Brazil. Cláudia Dias's co-authors include António Manuel Fonseca, José Fernando A. Cruz, Fernando Santos, Isabel Castillo, Inés Tomás, Joan L. Duda, Isabel Balaguer, A. Rui Gomes, Andrea Cruz and Craig A. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Critical Care Medicine.

In The Last Decade

Cláudia Dias

77 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Cláudia Dias	248	164	109	103	67	88	478
Carlos Montero-Carretero	240 1.0×	118 0.7×	74 0.7×	79 0.8×	70 1.0×	41	423
Hairul Anuar Hashim	192 0.8×	136 0.8×	113 1.0×	70 0.7×	89 1.3×	48	464
Edward F. Etzel	250 1.0×	242 1.5×	61 0.6×	141 1.4×	66 1.0×	29	487
Marte Bentzen	279 1.1×	271 1.7×	80 0.7×	98 1.0×	59 0.9×	36	485
Francesca Vitali	180 0.7×	179 1.1×	65 0.6×	65 0.6×	56 0.8×	37	405
Julie A. Partridge	227 0.9×	251 1.5×	69 0.6×	152 1.5×	56 0.8×	37	520
Megan Babkes Stellino	241 1.0×	205 1.3×	46 0.4×	60 0.6×	60 0.9×	39	549
Eric Martin	201 0.8×	161 1.0×	43 0.4×	49 0.5×	90 1.3×	39	523
Marcos Alencar Abaíde Balbinotti	134 0.5×	79 0.5×	72 0.7×	52 0.5×	46 0.7×	78	525
Pere Palou	223 0.9×	184 1.1×	47 0.4×	62 0.6×	62 0.9×	30	543

Countries citing papers authored by Cláudia Dias

Since Specialization

Citations

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

Fields of papers citing papers by Cláudia Dias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudia Dias. 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 Cláudia Dias. The network helps show where Cláudia Dias may publish in the future.

Co-authorship network of co-authors of Cláudia Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Dias. A scholar is included among the top collaborators of Cláudia Dias 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 Cláudia Dias. Cláudia Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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