Benjamin D. Nye

33 papers receiving 488 citations

Peers

Benjamin D. Nye
Comparison fields: 5 of 72
  • Computer Science Applications 183
  • Health Informatics 34
  • Developmental and Educational Psychology 159
  • Artificial Intelligence 267
  • Human-Computer Interaction 21
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014144
2 2014141
3 201846
4 200720
5 202119
6 202017
7 200715
8 202415
9
Online Learning Persistence and Academic Achievement.
201714
10
Designing a Personal Assistant for Life-Long Learning (PAL3)
201614
11 201612
12 20139
13 20168
14
Modeling Factions for 'Effects Based Operations': Part I Leader and Follower Behaviors
20077
15 20196
16 20086
17
Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining.
20145
18 20135
19
Modeling memes: a memetic view of affordance learning
20115
20
Exploring real-time student models based on natural-language tutoring sessions.
20144

About Benjamin D. Nye

Benjamin D. Nye is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Science Applications, Developmental and Educational Psychology and Statistical and Nonlinear Physics, having authored 34 papers that have together received 530 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (16 papers), Evolutionary Game Theory and Cooperation (8 papers), Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (7 papers), Topic Modeling (6 papers), Opinion Dynamics and Social Influence (5 papers), Complex Systems and Decision Making (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Computer Science Applications (183 citations), Health Informatics (34 citations), Developmental and Educational Psychology (159 citations), Artificial Intelligence (267 citations) and Human-Computer Interaction (21 citations). Benjamin D. Nye has collaborated with scholars based in United States. Frequent co-authors include Xiangen Hu, Arthur C. Graesser, Barry G. Silverman, Gnana Bharathy, Philip I. Pavlik, Roy J. Eidelson, Alistair Windsor, Andrew M. Olney, William Swartout and Tony Smith. Their work appears in journals such as Computational and Mathematical Organization Theory, International Journal of Artificial Intelligence in Education, Journal of Research on Technology in Education, PRESENCE Virtual and Augmented Reality and Journal of Artificial Societies and Social Simulation.

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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