Efrat Dagan

8 total papers · 650 total citations
4 papers, 484 citations indexed

About

Efrat Dagan is a scholar working on Geriatrics and Gerontology, Oncology and Artificial Intelligence. According to data from OpenAlex, Efrat Dagan has authored 4 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Geriatrics and Gerontology, 1 paper in Oncology and 1 paper in Artificial Intelligence. Recurrent topics in Efrat Dagan's work include Pharmaceutical Practices and Patient Outcomes (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Virtual Reality Applications and Impacts (1 paper). Efrat Dagan is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Virtual Reality Applications and Impacts (1 paper). Efrat Dagan collaborates with scholars based in Israel and Canada. Efrat Dagan's co-authors include Ilana Dubovi, Sharona T. Levy, Dan Aderka, Zaheer Kanji, Shani Paluch–Shimon, Eitan Friedman, Steven Gallinger, Ruth Gershoni‐Baruch, Malcolm J. Moore and Spring Holter and has published in prestigious journals such as British Journal of Cancer, Computers & Education and International Journal of Science and Mathematics Education.

In The Last Decade

Efrat Dagan

4 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Efrat Dagan 288 206 86 84 70 4 484
Maosen Xu 213 0.7× 70 0.3× 5 0.1× 153 1.8× 28 0.4× 9 486
Zorica Scuric 83 0.3× 57 0.3× 5 0.1× 272 3.2× 30 0.4× 14 524
Stefan Rauh 161 0.6× 70 0.3× 8 0.1× 65 0.8× 18 0.3× 15 505
Phillip D. Jones 299 1.0× 77 0.4× 2 0.0× 196 2.3× 4 0.1× 5 419
Vanessa Gysbers 336 1.2× 66 0.3× 105 1.3× 16 0.2× 6 527
Sharon C. Welburn 64 0.2× 47 0.2× 5 0.1× 39 0.5× 7 0.1× 10 428
Vini G. Khurana 85 0.3× 13 0.1× 4 0.0× 31 0.4× 38 0.5× 11 454
Maria Paola Mariani 206 0.7× 25 0.1× 20 0.2× 41 0.5× 5 0.1× 11 447
Dana Duan 103 0.4× 59 0.3× 1 0.0× 297 3.5× 24 0.3× 7 527
Praveen Duggal 172 0.6× 138 0.7× 261 3.1× 39 0.6× 11 541

Countries citing papers authored by Efrat Dagan

Since Specialization
Citations

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

Fields of papers citing papers by Efrat Dagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Efrat Dagan

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