Orit Avidov‐Ungar

51 papers receiving 665 citations

Peers

Orit Avidov‐Ungar
Comparison fields: 5 of 77
  • Education 517
  • Information Systems 173
  • Developmental and Educational Psychology 103
  • Sociology and Political Science 71
  • Computer Science Applications 64
Replace Khalid Bingimlas with:
Khalid Bingimlas Saudi Arabia
Ditte Lockhorst Netherlands
Amy Stornaiuolo United States
Scott McLeod United States
Norma Ghamrawi Qatar
Rosemary Deaney United Kingdom
J. Ola Lindberg Sweden
Cathrine Tømte Norway
Huma Akram China
Miri Shonfeld Israel
Orit Avidov‐Ungar relative to Khalid Bingimlas Saudi Arabia Khalid Bingimlas's profile →
Citations per field
00.5×3.0×
Khalid Bingimlas · 1×
Citations per year

Countries citing papers authored by Orit Avidov‐Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Orit Avidov‐Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Orit Avidov‐Ungar. 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 Orit Avidov‐Ungar. The network helps show where Orit Avidov‐Ungar may publish in the future.

Co-authorship network of co-authors of Orit Avidov‐Ungar

This figure shows the co-authorship network connecting the top 25 collaborators of Orit Avidov‐Ungar. A scholar is included among the top collaborators of Orit Avidov‐Ungar 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 Orit Avidov‐Ungar. Orit Avidov‐Ungar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 7
7 2
8 2
9 50
10 0
11 6
12 7
13 3
14 33
15 8
16
Teachers' perceptions on what it means to be a teacher in the digital age
1
17 102
18 10
19 1
20 85

About Orit Avidov‐Ungar

Orit Avidov‐Ungar is a scholar working on Education, Developmental and Educational Psychology and Information Systems and Management, having authored 57 papers that have together received 719 indexed citations. Recurring topics across this work include Teacher Education and Leadership Studies (30 papers), Online and Blended Learning (12 papers) and Collaborative Teaching and Inclusion (12 papers). The work is most often cited by research in Education (517 citations), Computer Science Applications (64 citations) and Developmental and Educational Psychology (103 citations). Orit Avidov‐Ungar has collaborated with scholars based in Israel, Hong Kong and United States. Frequent co-authors include Alona Forkosh‐Baruch, Yoram Eshet‐Alkalai, Rivi Frei-Landau, Tamar Shamir‐Inbal, Yulia Muchnik-Rozanov, Ina Blau, Noga Magen-Nagar, Elite Olshtain, Khalid Arar and Dina Tsybulsky. Their work appears in journals such as Teaching and Teacher Education, Journal of Computer Assisted Learning and Education and Information Technologies.

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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