Glòria Palomar

46 total papers · 1.1k total citations
33 papers, 761 citations indexed

About

Glòria Palomar is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Glòria Palomar has authored 33 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Psychiatry and Mental health, 10 papers in Cognitive Neuroscience and 4 papers in Clinical Psychology. Recurrent topics in Glòria Palomar's work include Attention Deficit Hyperactivity Disorder (29 papers), Functional Brain Connectivity Studies (6 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Glòria Palomar is often cited by papers focused on Attention Deficit Hyperactivity Disorder (29 papers), Functional Brain Connectivity Studies (6 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Glòria Palomar collaborates with scholars based in Spain, United States and United Kingdom. Glòria Palomar's co-authors include Josep Antoni Ramos‐Quiroga, Miguel Casas, Rosa Bosch, Vanesa Richarte, Sergi Valero, Mariana Nogueira, Montse Corrales, Raquel Vidal, Marta Ribasès and Cristina Sánchez‐Mora and has published in prestigious journals such as Scientific Reports, Journal of the American Academy of Child & Adolescent Psychiatry and Psychopharmacology.

In The Last Decade

Glòria Palomar

32 papers receiving 743 citations

Author Peers

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

Author						Papers	Cites
Glòria Palomar	575	313	134	85	79	33	761
Haimei Li	501 0.9×	394 1.3×	88 0.7×	74 0.9×	56 0.7×	61	873
Mariana Nogueira	578 1.0×	298 1.0×	134 1.0×	91 1.1×	66 0.8×	22	708
Reid Robison	318 0.6×	249 0.8×	198 1.5×	141 1.7×	43 0.5×	37	800
Sarojini M. Sengupta	535 0.9×	277 0.9×	113 0.8×	92 1.1×	114 1.4×	46	890
Nina Roth Mota	477 0.8×	318 1.0×	122 0.9×	105 1.2×	44 0.6×	56	881
Marieke Klein	419 0.7×	485 1.5×	86 0.6×	74 0.9×	45 0.6×	36	903
Ebba Du Rietz	508 0.9×	314 1.0×	161 1.2×	27 0.3×	51 0.6×	40	755
Angélica Salatino‐Oliveira	391 0.7×	185 0.6×	71 0.5×	120 1.4×	41 0.5×	32	647
Zsanett Tárnok	242 0.4×	351 1.1×	266 2.0×	82 1.0×	58 0.7×	34	768
K. Wigg	385 0.7×	307 1.0×	121 0.9×	199 2.3×	156 2.0×	24	896

Countries citing papers authored by Glòria Palomar

Since Specialization

Citations

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

Fields of papers citing papers by Glòria Palomar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glòria Palomar

This figure shows the co-authorship network connecting the top 25 collaborators of Glòria Palomar. A scholar is included among the top collaborators of Glòria Palomar 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 Glòria Palomar. Glòria Palomar 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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