Marcelo Papelbaum

29 total papers · 817 total citations
23 papers, 556 citations indexed

About

Marcelo Papelbaum is a scholar working on Clinical Psychology, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health. According to data from OpenAlex, Marcelo Papelbaum has authored 23 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Psychiatry and Mental health. Recurrent topics in Marcelo Papelbaum's work include Eating Disorders and Behaviors (14 papers), Obsessive-Compulsive Spectrum Disorders (5 papers) and Obesity, Physical Activity, Diet (4 papers). Marcelo Papelbaum is often cited by papers focused on Eating Disorders and Behaviors (14 papers), Obsessive-Compulsive Spectrum Disorders (5 papers) and Obesity, Physical Activity, Diet (4 papers). Marcelo Papelbaum collaborates with scholars based in Brazil, Italy and Israel. Marcelo Papelbaum's co-authors include Walmir Coutinho, José Carlos Appolinário, Rodrigo O. Moreira, Rosane Kupfer, Sílvia Freitas, Leonardo F. Fontenelle, Antônio Egídio Nardi, Michelle N. Levitan, Mônica Duchesne and João Régis Ivar Carneiro and has published in prestigious journals such as Obesity Reviews, Psychiatry Research and The Canadian Journal of Psychiatry.

In The Last Decade

Marcelo Papelbaum

23 papers receiving 516 citations

Author Peers

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

Author						Papers	Cites
Marcelo Papelbaum	239	198	89	84	70	23	556
Eline S. van der Valk	106 0.4×	223 1.1×	80 0.9×	85 1.0×	162 2.3×	31	652
Mesut Savas	109 0.5×	141 0.7×	69 0.8×	101 1.2×	177 2.5×	27	661
Taraneh Soleymani	146 0.6×	149 0.8×	88 1.0×	169 2.0×	312 4.5×	22	652
Huai Seng Loh	81 0.3×	221 1.1×	42 0.5×	102 1.2×	86 1.2×	28	555
Ghislaine Badawi	154 0.6×	216 1.1×	131 1.5×	44 0.5×	44 0.6×	12	546
Takehiro Nozaki	199 0.8×	125 0.6×	24 0.3×	91 1.1×	48 0.7×	21	498
Ovidiu Galescu	216 0.9×	85 0.4×	23 0.3×	208 2.5×	69 1.0×	20	500
Claire J. Hoogendoorn	170 0.7×	153 0.8×	87 1.0×	146 1.7×	82 1.2×	34	634
Petra Durán	61 0.3×	286 1.4×	93 1.0×	60 0.7×	81 1.2×	26	592
Margo Hudson	413 1.7×	149 0.8×	19 0.2×	189 2.3×	66 0.9×	22	659

Countries citing papers authored by Marcelo Papelbaum

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo Papelbaum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Papelbaum

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