Irwin B. Levinstein

554 citations
12 papers · 332 · h-index 5

Impact in

Papers in

Irwin B. Levinstein

11 papers receiving 300 citations

Peers

Irwin B. Levinstein
Comparison fields: 5 of 34
  • Developmental and Educational Psychology 227
  • Computer Science Applications 38
  • Experimental and Cognitive Psychology 60
  • Artificial Intelligence 145
  • Education 81
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Citations per year

Countries citing papers authored by Irwin B. Levinstein

Since Specialization
Citations

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

Fields of papers citing papers by Irwin B. Levinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irwin B. Levinstein. 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 Irwin B. Levinstein. The network helps show where Irwin B. Levinstein may publish in the future.

Co-authors

The 15 scholars most cited alongside Irwin B. Levinstein, 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 Irwin B. Levinstein Line = papers co-authored together Irwin B. Levinstein links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004179
2 201055
3
iSTART: A Web-based tutor that teaches self-explanation and metacognitive reading strategies.
200753
4 200722
5 200710
6
Web-Based Intervention for Higher-Order Reading Skills
20034
7 20063
8
Paraphrasing Recognition through Conceptual Graph
20032
9 20022
10
Summarization: Constructing an Ideal Summary and Evaluating a Student's Summary using LSA
20101
11
A Decision-based Hyper-multi-media Case Environment for the Computer Productivity Initiative, a Large Undergraduate Project
19931
12 20020

About Irwin B. Levinstein

Irwin B. Levinstein is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Networks and Communications, Sociology and Political Science and Information Systems, having authored 12 papers that have together received 332 indexed citations. Recurring topics across this work include Reading and Literacy Development (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Innovative Teaching and Learning Methods (3 papers), Text Readability and Simplification (3 papers), Natural Language Processing Techniques (2 papers), Distributed systems and fault tolerance (2 papers), Access Control and Trust (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Developmental and Educational Psychology (227 citations), Computer Science Applications (38 citations), Experimental and Cognitive Psychology (60 citations), Artificial Intelligence (145 citations) and Education (81 citations). Irwin B. Levinstein has collaborated with scholars based in United States and Australia. Frequent co-authors include Chutima Boonthum, Danielle S. McNamara, Joseph P. Magliano, Keith Millis, Tenaha O’Reilly, Michael Rowe, Stephan Olariu, S. Toida, Albert Y. Zomaya and C. Michael Overstreet. Their work appears in journals such as Behavior Research Methods, Metacognition and Learning, Computer Communications, The Florida AI Research Society and EdMedia: World Conference on Educational Media and Technology.

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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