Benjamin D. Nye

1.1k total citations
34 papers, 505 citations indexed

About

Benjamin D. Nye is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Benjamin D. Nye has authored 34 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Science Applications and 9 papers in Developmental and Educational Psychology. Recurrent topics in Benjamin D. Nye's work include Intelligent Tutoring Systems and Adaptive Learning (16 papers), Online Learning and Analytics (8 papers) and Innovative Teaching and Learning Methods (8 papers). Benjamin D. Nye is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (16 papers), Online Learning and Analytics (8 papers) and Innovative Teaching and Learning Methods (8 papers). Benjamin D. Nye collaborates with scholars based in United States. Benjamin D. Nye's co-authors include Xiangen Hu, Arthur C. Graesser, Barry G. Silverman, Gnana Bharathy, Philip I. Pavlik, Roy J. Eidelson, Andrew M. Olney, Alistair Windsor, William Swartout and Tony Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and PRESENCE Virtual and Augmented Reality.

In The Last Decade

Benjamin D. Nye

33 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. Nye United States 10 264 183 159 70 60 34 505
Mengxiao Zhu United States 12 172 0.7× 148 0.8× 155 1.0× 171 2.4× 69 1.1× 41 554
Annabel Latham United Kingdom 12 274 1.0× 242 1.3× 221 1.4× 76 1.1× 123 2.0× 27 537
Zhi Liu China 17 267 1.0× 319 1.7× 179 1.1× 233 3.3× 122 2.0× 55 765
Oliver Ferschke United States 10 265 1.0× 247 1.3× 136 0.9× 104 1.5× 99 1.6× 19 550
Renzhe Yu United States 11 168 0.6× 290 1.6× 100 0.6× 134 1.9× 76 1.3× 24 567
Daniella DiPaola United States 11 181 0.7× 404 2.2× 131 0.8× 79 1.1× 127 2.1× 22 767
Yeongwook Yang South Korea 13 186 0.7× 263 1.4× 172 1.1× 60 0.9× 119 2.0× 35 544
Diego Zapata‐Rivera United States 15 345 1.3× 240 1.3× 238 1.5× 135 1.9× 79 1.3× 60 650
Davide Taibi Italy 11 231 0.9× 217 1.2× 68 0.4× 103 1.5× 185 3.1× 92 539
Suma Bhat United States 15 368 1.4× 110 0.6× 60 0.4× 66 0.9× 81 1.4× 65 549

Countries citing papers authored by Benjamin D. Nye

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Nye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Nye. 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 Benjamin D. Nye. The network helps show where Benjamin D. Nye may publish in the future.

Co-authorship network of co-authors of Benjamin D. Nye

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

All Works

20 of 20 papers shown
1.
Wang, Changzhao, et al.. (2024). Writing with AI: What College Students Learned from Utilizing ChatGPT for a Writing Assignment. Education Sciences. 14(9). 976–976. 8 indexed citations
2.
Thacker, Ian, et al.. (2021). Promoting interest, positive emotions, and knowledge using augmented reality in a museum setting. International Journal of Science Education Part B. 11(3). 242–258. 19 indexed citations
3.
Nye, Benjamin D., et al.. (2021). Virtual Agents for Real Teachers: Applying AI to Support Professional Development of Proportional Reasoning. SHILAP Revista de lepidopterología. 34(1). 2 indexed citations
5.
Nye, Benjamin D., et al.. (2018). SKOPE-IT (Shareable Knowledge Objects as Portable Intelligent Tutors): overlaying natural language tutoring on an adaptive learning system for mathematics. International Journal of STEM Education. 5(1). 12–12. 43 indexed citations
6.
Nye, Benjamin D., et al.. (2017). Online Learning Persistence and Academic Achievement.. Educational Data Mining. 14 indexed citations
7.
Swartout, William, Benjamin D. Nye, Arno Hartholt, et al.. (2016). Designing a Personal Assistant for Life-Long Learning (PAL3). The Florida AI Research Society. 491–496. 14 indexed citations
8.
Nye, Benjamin D.. (2016). ITS, The End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem. International Journal of Artificial Intelligence in Education. 26(2). 756–770. 11 indexed citations
9.
Nye, Benjamin D.. (2015). AIED Is Splitting Up (Into Services) and the Next Generation Will Be All Right. 2 indexed citations
10.
Ventura, Matthew, Xiangen Hu, Benjamin D. Nye, & Weinan Zhao. (2015). NewtonianTalk: Integration of Physics Playground and AutoTutor using GIFT. 2 indexed citations
11.
Nye, Benjamin D., et al.. (2015). Improving Classification of Natural Language Answers to ITS Questions with Item-Specific Supervised Learning. The Florida AI Research Society. 436–468. 1 indexed citations
12.
Samei, Borhan, et al.. (2015). Hierarchical Dialogue Act Classification in Online Tutoring Sessions.. Educational Data Mining. 600–601. 1 indexed citations
13.
Nye, Benjamin D., et al.. (2015). Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success.. Educational Data Mining. 195–202. 1 indexed citations
14.
Nye, Benjamin D., et al.. (2014). Exploring real-time student models based on natural-language tutoring sessions.. Educational Data Mining. 253–256. 4 indexed citations
15.
Nye, Benjamin D., et al.. (2014). Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining.. Educational Data Mining. 335–336. 5 indexed citations
16.
Nye, Benjamin D., Arthur C. Graesser, & Xiangen Hu. (2014). AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring. International Journal of Artificial Intelligence in Education. 24(4). 427–469. 135 indexed citations
17.
Nye, Benjamin D.. (2014). Intelligent Tutoring Systems by and for the Developing World: A Review of Trends and Approaches for Educational Technology in a Global Context. International Journal of Artificial Intelligence in Education. 25(2). 177–203. 138 indexed citations
18.
Nye, Benjamin D.. (2013). What's between KISS and KIDS: A Keep It Knowledgeable (KIKS) Principle for Cognitive Agent Design. National Conference on Artificial Intelligence. 1(1). 63–70. 1 indexed citations
19.
Nye, Benjamin D., et al.. (2013). Towards a Generalized Framework for Intelligent Teaching and Learning Systems: The Argument for a Lightweight Multiagent Architecture.. 1 indexed citations
20.
Nye, Benjamin D. & Barry G. Silverman. (2013). Social Learning and Adoption of New Behavior in a Virtual Agent Society. PRESENCE Virtual and Augmented Reality. 22(2). 110–140. 5 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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