Natalya Verbitsky‐Savitz

22 total papers · 446 total citations
9 papers, 226 citations indexed

About

Natalya Verbitsky‐Savitz is a scholar working on Education, Statistics and Probability and General Health Professions. According to data from OpenAlex, Natalya Verbitsky‐Savitz has authored 9 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 4 papers in Statistics and Probability and 3 papers in General Health Professions. Recurrent topics in Natalya Verbitsky‐Savitz's work include School Choice and Performance (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Natalya Verbitsky‐Savitz is often cited by papers focused on School Choice and Performance (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Natalya Verbitsky‐Savitz collaborates with scholars based in United States. Natalya Verbitsky‐Savitz's co-authors include Stacy Dale, Kathleen Evanovich Zavotsky, Ann D. Bagchi, Stephen W. Raudenbush, Howard S. Bloom, Michael J. Weiss, Philip Gleason, Margaret B. Hargreaves, Joshua Furgeson and Paul T. Hill and has published in prestigious journals such as Annals of Emergency Medicine, Children and Youth Services Review and Economics of Education Review.

In The Last Decade

Natalya Verbitsky‐Savitz

9 papers receiving 213 citations

Author Peers

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

Author						Papers	Cites
Natalya Verbitsky‐Savitz	98	66	59	55	54	9	226
Jason K. Luellen	54 0.6×	49 0.7×	83 1.4×	9 0.2×	53 1.0×	5	313
Daniel Kasprzyk	105 1.1×	14 0.2×	15 0.3×	6 0.1×	20 0.4×	6	277
Brenda G. Cox	83 0.8×	8 0.1×	33 0.6×	6 0.1×	24 0.4×	11	294
Tonja M. Kyle	103 1.1×	17 0.3×	14 0.2×	5 0.1×	32 0.6×	8	256
Sara C. Wheeless	72 0.7×	143 2.2×	7 0.1×	4 0.1×	42 0.8×	13	306
Virginia Wilcox-Gök	152 1.6×	23 0.3×	19 0.3×	2 0.0×	67 1.2×	12	303
Elizabeth Savoca	103 1.1×	64 1.0×	14 0.2×	2 0.0×	113 2.1×	15	315
Sharon Dannels	61 0.6×	29 0.4×	10 0.2×	3 0.1×	10 0.2×	11	277
Anatol‐Fiete Näher	23 0.2×	4 0.1×	34 0.6×	9 0.2×	53 1.0×	16	201
Janet Ford	123 1.3×	165 2.5×	5 0.1×	6 0.1×	117 2.2×	13	313

Countries citing papers authored by Natalya Verbitsky‐Savitz

Since Specialization

Citations

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

Fields of papers citing papers by Natalya Verbitsky‐Savitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalya Verbitsky‐Savitz. 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 Natalya Verbitsky‐Savitz. The network helps show where Natalya Verbitsky‐Savitz may publish in the future.

Co-authorship network of co-authors of Natalya Verbitsky‐Savitz

This figure shows the co-authorship network connecting the top 25 collaborators of Natalya Verbitsky‐Savitz. A scholar is included among the top collaborators of Natalya Verbitsky‐Savitz 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 Natalya Verbitsky‐Savitz. Natalya Verbitsky‐Savitz 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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