Lina M. Cómbita

590 total citations
9 papers, 323 citations indexed

About

Lina M. Cómbita is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Lina M. Cómbita has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Lina M. Cómbita's work include Attention Deficit Hyperactivity Disorder (5 papers), Cognitive Abilities and Testing (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Lina M. Cómbita is often cited by papers focused on Attention Deficit Hyperactivity Disorder (5 papers), Cognitive Abilities and Testing (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Lina M. Cómbita collaborates with scholars based in Spain, United States and Belgium. Lina M. Cómbita's co-authors include M. Rosario Rueda, Joan P. Pozuelos, Pedro M. Paz‐Alonso, Susan Faja, Tessa Clarkson, Kate Driscoll, Pascale Voelker, Sarah R. Edmunds, Eduardo Cascallar and Mariel Musso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Developmental Science.

In The Last Decade

Lina M. Cómbita

8 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lina M. Cómbita Spain	5	152	125	120	80	79	9	323
Peter Baggetta United States	3	97 0.6×	87 0.7×	80 0.7×	68 0.8×	65 0.8×	3	291
Marisa G. Filipe Portugal	10	152 1.0×	170 1.4×	67 0.6×	63 0.8×	104 1.3×	27	330
Lavinia Cheie Romania	10	104 0.7×	82 0.7×	159 1.3×	73 0.9×	73 0.9×	22	311
Ramzi Hasson United States	4	97 0.6×	98 0.8×	77 0.6×	116 1.4×	44 0.6×	5	292
Cora Titz Germany	5	187 1.2×	147 1.2×	175 1.5×	55 0.7×	43 0.5×	14	362
Albert Ponsioen Netherlands	4	120 0.8×	168 1.3×	154 1.3×	193 2.4×	40 0.5×	9	359
Agnese Capodieci Italy	12	90 0.6×	156 1.2×	58 0.5×	134 1.7×	101 1.3×	23	311
Leonie J. Vreeke Netherlands	7	85 0.6×	115 0.9×	79 0.7×	124 1.6×	75 0.9×	10	332
Theodore A. Bell United States	7	124 0.8×	93 0.7×	82 0.7×	29 0.4×	125 1.6×	10	353
Christy D. Wolfe United States	6	159 1.0×	123 1.0×	104 0.9×	42 0.5×	113 1.4×	9	388

Countries citing papers authored by Lina M. Cómbita

Since Specialization

Citations

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

Fields of papers citing papers by Lina M. Cómbita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lina M. Cómbita. 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 Lina M. Cómbita. The network helps show where Lina M. Cómbita may publish in the future.

Co-authorship network of co-authors of Lina M. Cómbita

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

All Works

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9 of 9 papers shown

Edmunds, Sarah R., et al.. (2022). Beyond group differences: Exploring the preliminary signals of target engagement of an executive function training for autistic children. Autism Research. 15(7). 1261–1273. 5 indexed citations

Musso, Mariel, Lina M. Cómbita, Eduardo Cascallar, & M. Rosario Rueda. (2022). Modeling the Contribution of Genetic Variation to Cognitive Gains Following Training with a Machine Learning Approach. Mind Brain and Education. 16(4). 300–317. 1 indexed citations

Faja, Susan, et al.. (2021). A preliminary randomized, controlled trial of executive function training for children with autism spectrum disorder. Autism. 26(2). 346–360. 19 indexed citations

Pozuelos, Joan P., et al.. (2018). Metacognitive scaffolding boosts cognitive and neural benefits following executive attention training in children. Developmental Science. 22(2). e12756–e12756. 45 indexed citations

Cómbita, Lina M., et al.. (2017). Influence of the SLC6A3-DAT1 Gene on Multifaceted Measures of Self-regulation in Preschool Children. Frontiers in Psychology. 8. 26–26. 4 indexed citations

Rueda, M. Rosario, Joan P. Pozuelos, & Lina M. Cómbita. (2015). Cognitive Neuroscience of Attention <em>From brain mechanisms to individual differences in efficiency</em>. SHILAP Revista de lepidopterología. 2(4). 183–202. 43 indexed citations

Rueda, M. Rosario, Joan P. Pozuelos, & Lina M. Cómbita. (2015). Cognitive Neuroscience of Attention <i>From brain mechanisms to individual differences in efficiency</i>. AIMS neuroscience. 2(4). 183–202. 2 indexed citations

Rueda, M. Rosario, et al.. (2011). Enhanced efficiency of the executive attention network after training in preschool children: Immediate changes and effects after two months. Developmental Cognitive Neuroscience. 2. S192–S204. 202 indexed citations

Cómbita, Lina M., et al.. (2006). Elección y sustitución de estímulos entre el alcohol y el alimento en ratas : una explicación del consumo de drogas desde el contexto de la economía conductual. Suma Psicológica. 13(1). 33–50. 2 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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