Mia Stern
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- Online Learning and Analytics 2
- Teaching and Learning Programming 1
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- Personal Information Management and User Behavior 2
- Human-Computer Interaction top 10%
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- Innovative Teaching and Learning Methods 1
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- Intelligent Tutoring Systems and Adaptive Learning 3
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- Web Data Mining and Analysis 1
- User Authentication and Security Systems 1
- Educational Technology and Assessment 1
- Co-authors
- Joseph E. BeckBeverly Park WoolfMartin WattenbergBernard J KerrEric WilcoxPaul MoodyKushal DaveSteven L. Rohall
- Journals
- MIT Press eBooks (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)XRDS Crossroads The ACM Magazine for Students (1 paper)
- Partner nations
- United States
In The Last Decade
Mia Stern
5 papers receiving 179 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 77
- Health Informatics 10
- Information Systems and Management 40
- Human-Computer Interaction 25
- Developmental and Educational Psychology 48
Countries citing papers authored by Mia Stern
This map shows the geographic impact of Mia Stern'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 Mia Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Stern more than expected).
Fields of papers citing papers by Mia Stern
This network shows the impact of papers produced by Mia Stern. 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 Mia Stern. The network helps show where Mia Stern may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Mia Stern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 38 | |
| 2 | 2004 | 7 | |
| 3 | Growth and maturity of intelligent tutoring systems: a status report | 2001 | 22 |
| 4 | Using adaptive hypermedia and machine learning to create intelligent web-based courses | 2001 | 9 |
| 5 | 1996 | 148 |
About Mia Stern
Mia Stern is a scholar working on Computer Science Applications, Information Systems and Management, Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 5 papers that have together received 224 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Online Learning and Analytics (2 papers), Personal Information Management and User Behavior (2 papers), Teaching and Learning Programming (1 paper), Innovative Teaching and Learning Methods (1 paper), Web Data Mining and Analysis (1 paper), User Authentication and Security Systems (1 paper) and Educational Technology and Assessment (1 paper). The work is most often cited by research in Computer Science Applications (77 citations), Health Informatics (10 citations), Information Systems and Management (40 citations), Human-Computer Interaction (25 citations) and Developmental and Educational Psychology (48 citations). Mia Stern has collaborated with scholars based in United States. Frequent co-authors include Joseph E. Beck, Beverly Park Woolf, Martin Wattenberg, Bernard J Kerr, Eric Wilcox, Paul Moody, Kushal Dave and Steven L. Rohall. Their work appears in journals such as MIT Press eBooks, ScholarWorks@UMassAmherst (University of Massachusetts Amherst) and XRDS Crossroads The ACM Magazine for Students.
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.