Matthew E. Jacovina

879 total citations
25 papers, 275 citations indexed

About

Matthew E. Jacovina is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew E. Jacovina has authored 25 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 10 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew E. Jacovina's work include Innovative Teaching and Learning Methods (10 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Reading and Literacy Development (6 papers). Matthew E. Jacovina is often cited by papers focused on Innovative Teaching and Learning Methods (10 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Reading and Literacy Development (6 papers). Matthew E. Jacovina collaborates with scholars based in United States, Romania and Chile. Matthew E. Jacovina's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Matthew E. Jacovina

25 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew E. Jacovina United States	10	141	79	78	55	50	25	275
Marta Koć‐Januchta Sweden	7	92 0.7×	81 1.0×	35 0.4×	83 1.5×	37 0.7×	9	259
María del Carmen Malbrán Argentina	4	118 0.8×	84 1.1×	27 0.3×	128 2.3×	29 0.6×	11	262
Kyle B. Dempsey United States	4	220 1.6×	113 1.4×	88 1.1×	49 0.9×	13 0.3×	8	330
Ismahan Arslan‐Ari United States	8	126 0.9×	119 1.5×	22 0.3×	199 3.6×	36 0.7×	24	319
Kayla Morehead United States	6	185 1.3×	162 2.1×	48 0.6×	125 2.3×	16 0.3×	9	329
William Baggett United States	7	290 2.1×	148 1.9×	193 2.5×	126 2.3×	71 1.4×	10	476
Meng-Lung Lai Taiwan	7	129 0.9×	197 2.5×	32 0.4×	159 2.9×	34 0.7×	12	431
Catherine Vaucelle United States	5	76 0.5×	52 0.7×	112 1.4×	19 0.3×	27 0.5×	6	273
Virginia J. Flood United States	10	139 1.0×	157 2.0×	13 0.2×	52 0.9×	24 0.5×	28	302
Felix Krieglstein Germany	8	108 0.8×	92 1.2×	40 0.5×	138 2.5×	31 0.6×	18	272

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 of co-authors of Matthew E. Jacovina

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

All Works

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20 of 20 papers shown

Soto, Christian, et al.. (2018). A Deeper Understanding of Metacomprehension in Reading: Development of a New Multidimensional Tool.. Frontline Learning Research. 6(1). 31–52. 3 indexed citations

Soto, Christian, et al.. (2018). A Deeper Understanding of Metacomprehension: Development of a New Multidimensional Tool. Frontline Learning Research. 5(1). 31–52. 6 indexed citations

Jacovina, Matthew E. & Danielle S. McNamara. (2016). Intelligent Tutoring Systems for Literacy: Existing Technologies and Continuing Challenges.. Grantee Submission. 153–174. 3 indexed citations

Allen, Laura K., Matthew E. Jacovina, & Danielle S. McNamara. (2016). Computer-Based Writing Instruction.. Grantee Submission. 33 indexed citations

Allen, Laura K., Matthew E. Jacovina, & Danielle S. McNamara. (2016). Cohesive Features of Deep Text Comprehension Processes.. Cognitive Science. 12 indexed citations

Allen, Laura K., Caitlin Mills, Matthew E. Jacovina, et al.. (2016). Investigating Boredom and Engagement during Writing Using Multiple Sources of Information: The Essay, the Writer, and Keystrokes.. Grantee Submission. 1 indexed citations

Allen, Laura K., Matthew E. Jacovina, Mihai Dascălu, et al.. (2016). {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses.. Grantee Submission. 22–29. 4 indexed citations

Jacovina, Matthew E., G. Tanner Jackson, Erica L. Snow, & Danielle S. McNamara. (2016). Timing Game-Based Practice in a Reading Comprehension Strategy Tutor.. Grantee Submission. 1 indexed citations

Roscoe, Rod D., et al.. (2016). Toward revision-sensitive feedback in automated writing evaluation. 628–629. 3 indexed citations

10.

Allen, Laura K., Caitlin Mills, Matthew E. Jacovina, et al.. (2016). Investigating boredom and engagement during writing using multiple sources of information. 114–123. 30 indexed citations

11.

Snow, Erica L., et al.. (2016). Keys to Detecting Writing Flexibility Over Time: Entropy and Natural Language Processing. Journal of Learning Analytics. 2(3). 40–54. 9 indexed citations

12.

Jacovina, Matthew E., Erica L. Snow, Laura K. Allen, et al.. (2015). How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor.. Educational Data Mining. 594–595. 4 indexed citations

13.

Roscoe, Rod D., et al.. (2015). Partial Verbal Redundancy in Multimedia Presentations for Writing Strategy Instruction. Applied Cognitive Psychology. 29(5). 669–679. 17 indexed citations

14.

McNamara, Danielle S., Matthew E. Jacovina, Erica L. Snow, & Laura K. Allen. (2015). From Generating in the Lab to Tutoring Systems in Classrooms. The American Journal of Psychology. 128(2). 159–172. 5 indexed citations

15.

McNamara, Danielle S., Matthew E. Jacovina, & Laura K. Allen. (2015). Higher Order Thinking in Comprehension. 182–194. 2 indexed citations

16.

Snow, Erica L., et al.. (2015). You've got style. 194–202. 6 indexed citations

17.

Snow, Erica L., et al.. (2014). Entropy: A Stealth Measure of Agency in Learning Environments. Educational Data Mining. 241–244. 2 indexed citations

18.

Snow, Erica L., Laura K. Allen, Matthew E. Jacovina, & Danielle S. McNamara. (2014). Does agency matter?: Exploring the impact of controlled behaviors within a game-based environment. Computers & Education. 82. 378–392. 35 indexed citations

19.

Rapp, David N., et al.. (2014). Yielding to desire: The durability of affective preferences.. Journal of Experimental Psychology Learning Memory and Cognition. 40(5). 1419–1431. 1 indexed citations

20.

Jacovina, Matthew E. & Richard J. Gerrig. (2010). How readers experience characters’ decisions. Memory & Cognition. 38(6). 753–761. 9 indexed citations

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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