Maria Moldavsky

19 total papers · 695 total citations
16 papers, 484 citations indexed

About

Maria Moldavsky is a scholar working on Clinical Psychology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Maria Moldavsky has authored 16 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 8 papers in Psychiatry and Mental health and 5 papers in Cognitive Neuroscience. Recurrent topics in Maria Moldavsky's work include Child and Adolescent Psychosocial and Emotional Development (8 papers), Attention Deficit Hyperactivity Disorder (5 papers) and Adolescent and Pediatric Healthcare (3 papers). Maria Moldavsky is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (8 papers), Attention Deficit Hyperactivity Disorder (5 papers) and Adolescent and Pediatric Healthcare (3 papers). Maria Moldavsky collaborates with scholars based in United Kingdom, Israel and Australia. Maria Moldavsky's co-authors include Kapil Sayal, Chris Hollis, Mike Marriott, Sarah Pass, Charlotte L Hall, Martin J. Batty, John Taylor, Pooria Sarrami, David Daley and Victoria Owen and has published in prestigious journals such as Journal of the American Academy of Child & Adolescent Psychiatry, Journal of Child Psychology and Psychiatry and BMC Psychiatry.

In The Last Decade

Maria Moldavsky

16 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Maria Moldavsky	257	250	114	86	80	16	484
Elizabeth Kastelic	317 1.2×	332 1.3×	111 1.0×	100 1.2×	34 0.4×	12	519
Ana Soledade Graeff‐Martins	309 1.2×	223 0.9×	160 1.4×	48 0.6×	53 0.7×	19	545
Sharifah Shameem Agha	217 0.8×	225 0.9×	106 0.9×	34 0.4×	74 0.9×	20	515
Melinda A. Cornwell	304 1.2×	213 0.9×	129 1.1×	115 1.3×	31 0.4×	9	535
Tjasa Velikonja	238 0.9×	137 0.5×	171 1.5×	42 0.5×	67 0.8×	11	486
Bart M. Siebelink	214 0.8×	118 0.5×	87 0.8×	46 0.5×	64 0.8×	13	479
Johanna Koerting	269 1.0×	200 0.8×	98 0.9×	58 0.7×	34 0.4×	8	424
Emanuela Yeung	210 0.8×	389 1.6×	160 1.4×	71 0.8×	36 0.5×	10	537
Brian K. Wise	298 1.2×	177 0.7×	51 0.4×	33 0.4×	66 0.8×	11	451
Anne E. Dawson	270 1.1×	216 0.9×	83 0.7×	71 0.8×	26 0.3×	31	437

Countries citing papers authored by Maria Moldavsky

Since Specialization

Citations

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

Fields of papers citing papers by Maria Moldavsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Moldavsky

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