This map shows the geographic impact of Borhan Samei'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 Borhan Samei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borhan Samei more than expected).
This network shows the impact of papers produced by Borhan Samei. 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 Borhan Samei. The network helps show where Borhan Samei may publish in the future.
Co-authorship network of co-authors of Borhan Samei
This figure shows the co-authorship network connecting the top 25 collaborators of Borhan Samei.
A scholar is included among the top collaborators of Borhan Samei 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 Borhan Samei. Borhan Samei is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Olney, Andrew M., Borhan Samei, Patrick Donnelly, & Sidney K. D’Mello. (2017). Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes.. Educational Data Mining.6 indexed citations
2.
Blanchard, Nathaniel, Patrick J. Donnelly, Andrew M. Olney, et al.. (2016). Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms.. Educational Data Mining. 288–291.4 indexed citations
Samei, Borhan, et al.. (2015). Hierarchical Dialogue Act Classification in Online Tutoring Sessions.. Educational Data Mining. 600–601.1 indexed citations
9.
Samei, Borhan, Andrew M. Olney, Sean Kelly, et al.. (2015). Modeling Classroom Discourse: Do Models That Predict Dialogic Instruction Properties Generalize across Populations?.. Educational Data Mining. 444–447.14 indexed citations
10.
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
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
13.
Samei, Borhan, Andrew M. Olney, Sean Kelly, et al.. (2014). Domain Independent Assessment of Dialogic Properties of Classroom Discourse. Educational Data Mining. 233–236.16 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.
Samei, Borhan, et al.. (2014). Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures. The Florida AI Research Society.6 indexed citations
16.
Forsyth, Carol, Arthur C. Graesser, Philip I. Pavlik, Keith Millis, & Borhan Samei. (2014). Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. Educational Data Mining. 229–232.7 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.