Michal Armoni

2.6k citations
85 papers · 1.6k indexed · h-index 20

Michal Armoni

84 papers receiving 1.5k citations

Peers

Michal Armoni
Comparison fields: 5 of 53
  • Computer Science Applications 1.4k
  • Developmental and Educational Psychology 682
  • Information Systems 349
  • Education 321
  • Artificial Intelligence 194
Replace Linda Mannila with:
Linda Mannila Sweden
Renée McCauley United States
Yifat Ben‐David Kolikant Israel
Michael E. Caspersen Denmark
Valerie Barr United States
Barbara Ericson United States
Carol Zander United States
‪Marcos Román-González‬ Spain
Sue Fitzgerald United States
Nathan Rountree New Zealand
Michal Armoni relative to Linda Mannila Sweden Linda Mannila's profile →
Citations per field
00.5×1.5×1.8×
Linda Mannila · 1×
Citations per year

Countries citing papers authored by Michal Armoni

Since Specialization
Citations

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

Fields of papers citing papers by Michal Armoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Armoni

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Armoni. A scholar is included among the top collaborators of Michal Armoni 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 Michal Armoni. Michal Armoni 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 1
3 4
4 13
5 27
6 8
7 35
8 19
9 240
10
On Teaching Abstraction in CS to Novices
36
11 5
12 70
13
CS contests for students: why and how?
2
14
Programming with the user in mind.
5
15 146
16 8
17 1
18 3
19 9
20
Teaching Reductive Thinking.
10

About Michal Armoni

Michal Armoni is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include Teaching and Learning Programming (72 papers), Innovative Teaching and Learning Methods (23 papers) and Educational Games and Gamification (13 papers). The work is most often cited by research in Computer Science Applications (1.4k citations), Developmental and Educational Psychology (682 citations) and Software (173 citations). Michal Armoni has collaborated with scholars based in Israel, Germany and Austria. Frequent co-authors include Mordechai Ben‐Ari, Orni Meerbaum–Salant, Judith Gal‐Ezer, Peter Hubwieser, Michail N. Giannakos, Roland T. Mittermeir, Giora Alexandron, David Harel, Michal Gordon and Orit Hazzan. Their work appears in journals such as Computers & Education, Journal of Educational Computing Research and Computing in Science & Engineering.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026