Majeed Kazemitabaar

837 citations
10 papers · 317 indexed · 1 hit paper · h-index 8
Topics
Teaching and Learning Programming (5 papers)Online Learning and Analytics (3 papers)Software Engineering Research (3 papers)
Journals
Interaction Design and Children
Partner nations
United StatesCanadaIran

In The Last Decade

Majeed Kazemitabaar

10 papers receiving 309 citations

Hit Papers

CodeAid: Evaluating a Classroom Deployment of an LLM-base...2024202620252024255075

Peers

Majeed Kazemitabaar
Comparison fields: 5 of 55
  • Human-Computer Interaction 131
  • Computer Science Applications 108
  • Artificial Intelligence 64
  • Information Systems 38
  • Electrical and Electronic Engineering 33
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Majeed Kazemitabaar relative to Rhema Linder United States Rhema Linder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Majeed Kazemitabaar

Since Specialization
Citations

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

Fields of papers citing papers by Majeed Kazemitabaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majeed Kazemitabaar

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 9
3
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needsbreakdown →
81
4 46
5 7
6 97
7 40
8 15
9 19
10 1

About Majeed Kazemitabaar

Majeed Kazemitabaar is a scholar working on Computer Science Applications, Human-Computer Interaction and Software, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Online Learning and Analytics (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Human-Computer Interaction (131 citations), Computer Science Applications (108 citations) and Health Informatics (22 citations). Majeed Kazemitabaar has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Tovi Grossman, Jon E. Froehlich, Austin Z. Henley, Liang He, Michelle Craig, Paul Denny, David Weintrop, Xinying Hou, Barbara Ericson and Daniel Drew. Their work appears in journals such as Interaction Design and Children.

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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