Tamar Lavi

11 total papers · 445 total citations
10 papers, 313 citations indexed

About

Tamar Lavi is a scholar working on Clinical Psychology, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Tamar Lavi has authored 10 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 2 papers in General Health Professions and 2 papers in Sociology and Political Science. Recurrent topics in Tamar Lavi's work include Migration, Health and Trauma (7 papers), Posttraumatic Stress Disorder Research (5 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Tamar Lavi is often cited by papers focused on Migration, Health and Trauma (7 papers), Posttraumatic Stress Disorder Research (5 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Tamar Lavi collaborates with scholars based in Israel, United States and France. Tamar Lavi's co-authors include Zahava Solomon, Rachel Dekel, Orit Nuttman‐Shwartz, Ricky Finzi‐Dottan, Abigail H. Gewirtz, Osnat Zamir and Liat Itzhaky and has published in prestigious journals such as Journal of the American Academy of Child & Adolescent Psychiatry, Journal of Adolescence and Comprehensive Psychiatry.

In The Last Decade

Tamar Lavi

10 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Tamar Lavi	256	79	60	49	24	10	313
Glenn R. Schiraldi	194 0.8×	107 1.4×	56 0.9×	60 1.2×	13 0.5×	15	272
Philippa Specker	227 0.9×	94 1.2×	60 1.0×	88 1.8×	13 0.5×	15	253
Sheri Lapatin	130 0.5×	57 0.7×	87 1.4×	96 2.0×	17 0.7×	8	241
Mathew C. Withers	128 0.5×	61 0.8×	46 0.8×	71 1.4×	17 0.7×	14	238
Norman G. Dinges	139 0.5×	66 0.8×	53 0.9×	93 1.9×	13 0.5×	17	260
Safaa M. El-Zoghby	213 0.8×	72 0.9×	44 0.7×	68 1.4×	19 0.8×	15	297
Sonith Peou	167 0.7×	70 0.9×	60 1.0×	37 0.8×	34 1.4×	12	313
Burl E. Gilliland	168 0.7×	54 0.7×	41 0.7×	79 1.6×	8 0.3×	11	295
Emily Sáez‐Santiago	219 0.9×	56 0.7×	76 1.3×	131 2.7×	15 0.6×	6	338
Wenzhi Wu	211 0.8×	36 0.5×	120 2.0×	72 1.5×	36 1.5×	12	312

Countries citing papers authored by Tamar Lavi

Since Specialization

Citations

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

Fields of papers citing papers by Tamar Lavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Lavi

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