Matthew E. Jacovina

879 citations
25 papers · 275 indexed · h-index 10

Matthew E. Jacovina

25 papers receiving 259 citations

Peers

Matthew E. Jacovina
Comparison fields: 5 of 55
  • Developmental and Educational Psychology 141
  • Computer Science Applications 50
  • Experimental and Cognitive Psychology 55
  • Geography, Planning and Development 18
  • Education 79
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Countries citing papers authored by Matthew E. Jacovina

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Jacovina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Jacovina. 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 Matthew E. Jacovina. The network helps show where Matthew E. Jacovina may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Matthew E. Jacovina, 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 Matthew E. Jacovina Line = papers co-authored together Matthew E. Jacovina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Deeper Understanding of Metacomprehension in Reading: Development of a New Multidimensional Tool.
20183
2 20186
3
Intelligent Tutoring Systems for Literacy: Existing Technologies and Continuing Challenges.
20163
4
Computer-Based Writing Instruction.
201633
5
Cohesive Features of Deep Text Comprehension Processes.
201612
6
Investigating Boredom and Engagement during Writing Using Multiple Sources of Information: The Essay, the Writer, and Keystrokes.
20161
7
{ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses.
20164
8
Timing Game-Based Practice in a Reading Comprehension Strategy Tutor.
20161
9
Toward revision-sensitive feedback in automated writing evaluation
20163
10 201630
11 20169
12
How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor.
20154
13 201517
14 20155
15 20152
16 20156
17
Entropy: A Stealth Measure of Agency in Learning Environments
20142
18 201435
19 20141
20 20109

About Matthew E. Jacovina

Matthew E. Jacovina is a scholar working on Developmental and Educational Psychology, Computer Science Applications and General Decision Sciences, having authored 25 papers that have together received 275 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (10 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Reading and Literacy Development (6 papers), Writing and Handwriting Education (5 papers), Online Learning and Analytics (4 papers), Educational Strategies and Epistemologies (4 papers), Visual and Cognitive Learning Processes (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Developmental and Educational Psychology (141 citations), Computer Science Applications (50 citations) and Experimental and Cognitive Psychology (55 citations). Matthew E. Jacovina has collaborated with scholars based in United States, Romania and Chile. Frequent co-authors include Danielle S. McNamara, Laura K. Allen, Richard J. Gerrig, Benjamin Swets, Erica L. Snow, Scott A. Crossley, Rod D. Roscoe, Caitlin Mills, Sidney K. D’Mello and Carol J. Ormand. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education and Journal of Experimental Psychology Learning Memory and Cognition.

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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