Dina Tsybulsky

57 total papers · 683 total citations
35 papers, 392 citations indexed

About

Dina Tsybulsky is a scholar working on Education, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Dina Tsybulsky has authored 35 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Education, 10 papers in Developmental and Educational Psychology and 7 papers in Social Psychology. Recurrent topics in Dina Tsybulsky's work include Science Education and Pedagogy (6 papers), Animal and Plant Science Education (6 papers) and Innovative Teaching and Learning Methods (5 papers). Dina Tsybulsky is often cited by papers focused on Science Education and Pedagogy (6 papers), Animal and Plant Science Education (6 papers) and Innovative Teaching and Learning Methods (5 papers). Dina Tsybulsky collaborates with scholars based in Israel and United Kingdom. Dina Tsybulsky's co-authors include Yulia Muchnik-Rozanov, Jeff Dodick, Ilya Levin, Orit Avidov‐Ungar, Dani Ben‐Zvi, Svetlana Chachashvili‐Bolotin, Assaf Marom and Marina Milner‐Bolotin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Teaching and Teacher Education and International Journal of Science Education.

In The Last Decade

Dina Tsybulsky

29 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Dina Tsybulsky 284 90 77 46 33 35 392
Robert Weinhandl 242 0.9× 63 0.7× 124 1.6× 62 1.3× 25 0.8× 45 439
Hassan Tairab 286 1.0× 101 1.1× 57 0.7× 46 1.0× 36 1.1× 33 435
Rachel Sheffield 226 0.8× 61 0.7× 87 1.1× 82 1.8× 26 0.8× 37 424
Peter Rillero 267 0.9× 76 0.8× 37 0.5× 26 0.6× 17 0.5× 34 353
Sølvi Lillejord 340 1.2× 88 1.0× 49 0.6× 42 0.9× 26 0.8× 25 445
Susan Rodrigues 345 1.2× 116 1.3× 53 0.7× 26 0.6× 23 0.7× 39 432
Philip M. Reeves 278 1.0× 76 0.8× 31 0.4× 23 0.5× 42 1.3× 22 392
Nathaniel Hunsu 267 0.9× 116 1.3× 50 0.6× 58 1.3× 35 1.1× 40 413
Zehavit Kohen 324 1.1× 201 2.2× 57 0.7× 33 0.7× 34 1.0× 24 436
Alan Zollman 257 0.9× 97 1.1× 47 0.6× 35 0.8× 12 0.4× 24 360

Countries citing papers authored by Dina Tsybulsky

Since Specialization
Citations

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

Fields of papers citing papers by Dina Tsybulsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Tsybulsky

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