Mario De Matteis

21 total papers · 1.0k total citations
4 papers, 79 citations indexed

About

Mario De Matteis is a scholar working on Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Mario De Matteis has authored 4 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Psychiatry and Mental health, 2 papers in Clinical Psychology and 2 papers in Cognitive Neuroscience. Recurrent topics in Mario De Matteis's work include Mental Health and Psychiatry (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Obsessive-Compulsive Spectrum Disorders (1 paper). Mario De Matteis is often cited by papers focused on Mental Health and Psychiatry (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Obsessive-Compulsive Spectrum Disorders (1 paper). Mario De Matteis collaborates with scholars based in Spain, United States and United Kingdom. Mario De Matteis's co-authors include David Fraguas, Carmen Moreno, Covadonga M. Díaz‐Caneja, Laura Pina‐Camacho, Miriam Ayora, Robert L. Hendren, Emiliano González‐Vioque, Celso Arango, Mara Parellada and Néstor Szerman and has published in prestigious journals such as PEDIATRICS, European Journal of Neuroscience and Drugs - Real World Outcomes.

In The Last Decade

Mario De Matteis

3 papers receiving 76 citations

Author Peers

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

Author						Papers	Cites
Mario De Matteis	50	43	20	9	7	4	79
Ryan Darby	40 0.8×	60 1.4×	16 0.8×	12 1.3×	2 0.3×	6	125
K. A. Welch	59 1.2×	56 1.3×	16 0.8×	10 1.1×	2 0.3×	6	141
I. Coelho	47 0.9×	12 0.3×	21 1.1×	7 0.8×	10 1.4×	3	96
Helle Cecilie Viekilde Pfeiffer	45 0.9×	48 1.1×	5 0.3×	20 2.2×	5 0.7×	7	237
A. Dourado	52 1.0×	12 0.3×	21 1.1×	15 1.7×	10 1.4×	3	102
Inmaculada Navas	21 0.4×	29 0.7×	14 0.7×	24 2.7×	4 0.6×	5	159
Gabriel Whitlingum	70 1.4×	42 1.0×	54 2.7×	7 0.8×	29 4.1×	4	108
James Kustow	55 1.1×	25 0.6×	15 0.8×	4 0.4×	3 0.4×	6	69
Susan Dickinson	50 1.0×	19 0.4×	17 0.8×	2 0.2×	14 2.0×	6	111
Michael Kriegsman	38 0.8×	45 1.0×	8 0.4×	6 0.7×	1 0.1×	6	95

Countries citing papers authored by Mario De Matteis

Since Specialization

Citations

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

Fields of papers citing papers by Mario De Matteis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario De Matteis. 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 Mario De Matteis. The network helps show where Mario De Matteis may publish in the future.

Co-authorship network of co-authors of Mario De Matteis

This figure shows the co-authorship network connecting the top 25 collaborators of Mario De Matteis. A scholar is included among the top collaborators of Mario De Matteis 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 Mario De Matteis. Mario De Matteis 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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