Dovan Rai

445 total citations
8 papers, 223 citations indexed

About

Dovan Rai is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Dovan Rai has authored 8 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 3 papers in Developmental and Educational Psychology. Recurrent topics in Dovan Rai's work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (3 papers) and Online Learning and Analytics (3 papers). Dovan Rai is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (3 papers) and Online Learning and Analytics (3 papers). Dovan Rai collaborates with scholars based in United States and Canada. Dovan Rai's co-authors include Ivon Arroyo, Kasia Müldner, Beverly Park Woolf, Minghui Tai, Joseph E. Beck, Yue Gong, Neil T. Heffernan, Michael Wixon and Winslow Burleson and has published in prestigious journals such as International Journal of Artificial Intelligence in Education, International Journal of Game-Based Learning and Educational Data Mining.

In The Last Decade

Dovan Rai

8 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dovan Rai United States	6	131	126	93	42	29	8	223
Minghui Tai United States	4	114 0.9×	105 0.8×	110 1.2×	53 1.3×	22 0.8×	5	208
Lisa M. Rossi United States	5	126 1.0×	129 1.0×	89 1.0×	36 0.9×	13 0.4×	6	197
Michael Wixon United States	5	159 1.2×	141 1.1×	116 1.2×	62 1.5×	27 0.9×	7	247
Leena Razzaq United States	8	101 0.8×	128 1.0×	88 0.9×	50 1.2×	34 1.2×	14	204
Stephen E. Fancsali United States	9	157 1.2×	160 1.3×	90 1.0×	42 1.0×	26 0.9×	34	238
Michael A. Sao Pedro United States	9	171 1.3×	169 1.3×	149 1.6×	67 1.6×	46 1.6×	13	283
Deirdre Kerr United States	9	119 0.9×	107 0.8×	154 1.7×	56 1.3×	35 1.2×	25	257
Jonathan Sewall United States	8	194 1.5×	303 2.4×	221 2.4×	50 1.2×	51 1.8×	17	402
Hogyeong Jeong United States	6	133 1.0×	164 1.3×	164 1.8×	59 1.4×	38 1.3×	12	275
George Goguadze Germany	6	88 0.7×	95 0.8×	93 1.0×	90 2.1×	27 0.9×	7	221

Countries citing papers authored by Dovan Rai

Since Specialization

Citations

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

Fields of papers citing papers by Dovan Rai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dovan Rai

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

All Works

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8 of 8 papers shown

1.

Arroyo, Ivon, Beverly Park Woolf, Winslow Burleson, et al.. (2018). Correction to: A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect. International Journal of Artificial Intelligence in Education. 28(3). 470–470. 1 indexed citations

2.

Wixon, Michael, Ivon Arroyo, Kasia Müldner, et al.. (2014). The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection. Educational Data Mining. 145–152. 15 indexed citations

3.

Arroyo, Ivon, et al.. (2014). A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect. International Journal of Artificial Intelligence in Education. 24(4). 387–426. 147 indexed citations

4.

Rai, Dovan & Joseph E. Beck. (2012). Math Learning Environment with Game-Like Elements. International Journal of Game-Based Learning. 2(2). 90–110. 12 indexed citations

5.

Rai, Dovan & Joseph E. Beck. (2011). Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling.. Educational Data Mining. 307–313. 7 indexed citations

6.

Rai, Dovan & Joseph E. Beck. (2010). Analysis of a causal modeling approach: a case study with an educational intervention.. Educational Data Mining. 313–314. 3 indexed citations

7.

Rai, Dovan, Yue Gong, & Joseph E. Beck. (2009). Using Dirichlet Priors to Improve Model Parameter Plausibility.. Educational Data Mining. 141–150. 17 indexed citations

8.

Gong, Yue, Dovan Rai, Joseph E. Beck, & Neil T. Heffernan. (2009). Does Self-Discipline impact students' knowledge and learning?. Educational Data Mining. 61–70. 21 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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