Jack Mostow

3.5k citations
124 papers · 1.9k indexed · h-index 25

Jack Mostow

122 papers receiving 1.6k citations

Peers

Jack Mostow
Comparison fields: 5 of 102
  • Computer Science Applications 330
  • Artificial Intelligence 1.3k
  • Developmental and Educational Psychology 440
  • Software 77
  • Information Systems 326
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Robert Farrell United States
Antonija Mitrović New Zealand
Siti Salwah Salim Malaysia
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Citations per year

Countries citing papers authored by Jack Mostow

Since Specialization
Citations

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

Fields of papers citing papers by Jack Mostow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jack Mostow, 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 Jack Mostow Line = papers co-authored together Jack Mostow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Automatic Identification of Nutritious Contexts for Learning Vocabulary Words.
20153
2
Using Item Response Theory to Refine Knowledge Tracing.
20136
3
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models
201222
4
Inferring Selectional Preferences from Part-Of-Speech N-grams
20123
5
Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody.
20124
6
Comparison of Methods to Trace Multiple Subskills: Is LR-DBN Best?.
201217
7
Towards Using EEG to Improve ASR Accuracy
20124
8
Learning Classifiers From a Relational Database of Tutor Logs
20116
9
Question generation : papers from the AAAI Fall Symposium
20111
10
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net.
201122
11
Predicting Task Completion from Rich but Scarce Data.
20104
12 20105
13
Why, What, and How to Log? Lessons from LISTEN
20092
14
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors.
20082
15
A prototype reading coach that listens
1994108
16
Towards a reading coach that listens: automated detection of oral reading errors
199321
17
Failsafe: a floor planner that uses EBG to learn from its failures
198734
18
Explicit integration of goals in heuristic algorithm design
198712
19
Towards explicit integration of knowledge in expert systems: an analysis of MYCIN's therapy selection algorithm
19868
20 1985142

About Jack Mostow

Jack Mostow is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications, having authored 124 papers that have together received 1.9k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (47 papers), Speech and dialogue systems (34 papers), Reading and Literacy Development (26 papers), Topic Modeling (25 papers), Text Readability and Simplification (21 papers), AI-based Problem Solving and Planning (18 papers), Innovative Teaching and Learning Methods (18 papers) and Natural Language Processing Techniques (16 papers). The work is most often cited by research in Computer Science Applications (330 citations), Artificial Intelligence (1.3k citations) and Developmental and Educational Psychology (440 citations). Jack Mostow has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Gregory Aist, Joseph E. Beck, Steven F. Roth, Alexander G. Hauptmann, Lorien Pratt, Candace Kamm, José P. González-Brenes, Yanbo Xu, Hyeju Jang and Brian Tobin. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Natural Language Engineering, Machine Learning, Artificial Intelligence and Journal of Systems and Software.

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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