Yael Dubinsky

2.2k citations
69 papers · 792 · h-index 14

Impact in

Papers in

Yael Dubinsky

67 papers receiving 746 citations

Peers

Yael Dubinsky
Comparison fields: 5 of 64
  • Computer Science Applications 181
  • Software 116
  • Information Systems 602
  • Management Information Systems 105
  • Artificial Intelligence 236
Replace Bikram Sengupta with:
Bikram Sengupta India
James E. Tomayko United States
Daniel J. Paulish United States
Robert Dupuis Canada
Paolo Tell Denmark
Raghvinder S. Sangwan United States
Ron Jeffries United States
Geir Kjetil Hanssen Norway
Linda Rising United States
Laurie Williams United States
Yael Dubinsky relative to Bikram Sengupta India Bikram Sengupta's profile →
Citations per field
00.5×1.6×
Bikram Sengupta · 1×
Citations per year

Countries citing papers authored by Yael Dubinsky

Since Specialization
Citations

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

Fields of papers citing papers by Yael Dubinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yael Dubinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yael Dubinsky Line = papers co-authored together Yael Dubinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013182
2 201073
3 200662
4 200835
5 200329
6 200529
7 200927
8 200724
9 200621
10 200619
11 200916
12 200615
13 200614
14 200614
15 200613
16 200412
17 200412
18 201011
19 20069
20 20119

About Yael Dubinsky

Yael Dubinsky is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Computer Science Applications, having authored 69 papers that have together received 792 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (42 papers), Software Engineering Research (24 papers), Advanced Software Engineering Methodologies (14 papers), Software System Performance and Reliability (11 papers), Usability and User Interface Design (9 papers), Business Process Modeling and Analysis (8 papers), Open Source Software Innovations (6 papers) and Teaching and Learning Programming (5 papers). The work is most often cited by research in Computer Science Applications (181 citations), Software (116 citations), Information Systems (602 citations), Management Information Systems (105 citations) and Artificial Intelligence (236 citations). Yael Dubinsky has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Orit Hazzan, Erran Carmel, David Talby, Krzysztof Czarnecki, Thorsten Berger, Julia Rubin, Slawomir Duszynski, Martin Becker, Arie Keren and J. Alberto Espinosa. Their work appears in journals such as Journal of Management Information Systems, Journal of Systems Architecture, Computer Science Education, IBM Journal of Research and Development and Software & Systems Modeling.

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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