Saif Rayyan

624 total citations
15 papers, 429 citations indexed

About

Saif Rayyan is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Saif Rayyan has authored 15 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 4 papers in Computer Science Applications and 4 papers in Developmental and Educational Psychology. Recurrent topics in Saif Rayyan's work include Online and Blended Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and Online Learning and Analytics (4 papers). Saif Rayyan is often cited by papers focused on Online and Blended Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and Online Learning and Analytics (4 papers). Saif Rayyan collaborates with scholars based in United States, Chile and South Korea. Saif Rayyan's co-authors include Naotoshi Okamura, Tatsu Takeuchi, Lay Nam Chang, Sándor Benczik, Djordje Minić, David E. Pritchard, Daniel Seaton, Gerd Kortemeyer, Yoav Bergner and Isabel Hilliger and has published in prestigious journals such as American Journal of Physics, Journal of Computer Assisted Learning and Applied Optics.

In The Last Decade

Saif Rayyan

14 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saif Rayyan United States 9 192 162 151 89 88 15 429
Ricardo José Rocha Amorim Brazil 12 214 1.1× 167 1.0× 15 0.1× 116 1.3× 21 0.2× 66 307
T. N. Bailey United Kingdom 8 127 0.7× 93 0.6× 45 0.3× 118 1.3× 33 0.4× 16 353
Brett van de Sande United States 12 304 1.6× 9 0.1× 99 0.7× 16 0.2× 28 0.3× 27 481
Beth Thacker United States 11 378 2.0× 39 0.2× 23 0.2× 4 0.0× 297 3.4× 24 734
Ryo Nagata Japan 15 187 1.0× 17 0.1× 21 0.1× 256 2.9× 11 0.1× 53 534
Marisa Michelini Italy 11 13 0.1× 62 0.4× 16 0.1× 13 0.1× 268 3.0× 94 398
Ralph L. Cohen United States 12 52 0.3× 69 0.4× 8 0.1× 14 0.2× 192 2.2× 35 678
Timothy Porter United Kingdom 17 28 0.1× 44 0.3× 6 0.0× 20 0.2× 16 0.2× 91 815
N. L. Harshman United States 13 34 0.2× 92 0.6× 2 0.0× 28 0.3× 94 1.1× 41 483
Mauro Luiz Rabelo Brazil 10 24 0.1× 277 1.7× 4 0.0× 15 0.2× 71 0.8× 17 409

Countries citing papers authored by Saif Rayyan

Since Specialization
Citations

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

Fields of papers citing papers by Saif Rayyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saif Rayyan

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

All Works

15 of 15 papers shown
1.
2.
Verlage, Erik, et al.. (2023). From ray optics to modal analysis: using photonics web simulations to build intuition and address common misconceptions. Applied Optics. 63(1). 138–138. 2 indexed citations
3.
Pérez‐Sanagustín, Mar, Isabel Hilliger, Carlos Alario‐Hoyos, Carlos Delgado Kloos, & Saif Rayyan. (2017). H-MOOC framework: reusing MOOCs for hybrid education. Journal of Computing in Higher Education. 29(1). 47–64. 65 indexed citations
4.
Rayyan, Saif, et al.. (2016). A MOOC based on blended pedagogy. Journal of Computer Assisted Learning. 32(3). 190–201. 30 indexed citations
5.
Lopez, Glenn, et al.. (2016). Instructor Dashboards In EdX. 335–336. 1 indexed citations
6.
Seaton, Daniel, Gerd Kortemeyer, Yoav Bergner, Saif Rayyan, & David E. Pritchard. (2014). Analyzing the impact of course structure on electronic textbook use in blended introductory physics courses. American Journal of Physics. 82(12). 1186–1197. 14 indexed citations
7.
Bergner, Yoav, et al.. (2012). Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory. Educational Data Mining. 95–102. 66 indexed citations
8.
Pawl, Andrew, Carolin N. Cardamone, Saif Rayyan, et al.. (2012). Development of a mechanics reasoning inventory. AIP conference proceedings. 287–290. 5 indexed citations
9.
Seaton, Daniel, Saif Rayyan, Andrew Pawl, et al.. (2012). When students can choose easy, medium, or hard homework problems. AIP conference proceedings. 81–84. 9 indexed citations
10.
Rayyan, Saif, Daniel Seaton, Andrew Pawl, et al.. (2012). Item response theory analysis of the mechanics baseline test. AIP conference proceedings. 135–138. 9 indexed citations
11.
Pawl, Andrew, Saif Rayyan, David E. Pritchard, et al.. (2010). Toward an Integrated Online Learning Environment. AIP conference proceedings. 321–324. 6 indexed citations
12.
Rayyan, Saif, Andrew Pawl, David E. Pritchard, et al.. (2010). Improved Student Performance In Electricity And Magnetism Following Prior MAPS Instruction In Mechanics. AIP conference proceedings. 273–276. 5 indexed citations
13.
Loinaz, Will, Naotoshi Okamura, Saif Rayyan, Tatsu Takeuchi, & L. C. R. Wijewardhana. (2004). NuTeV anomaly, lepton universality, and nonuniversal neutrino-gauge couplings. Physical review. D. Particles, fields, gravitation, and cosmology. 70(11). 36 indexed citations
14.
Loinaz, Will, Naotoshi Okamura, Saif Rayyan, Tatsu Takeuchi, & L. C. R. Wijewardhana. (2003). Quark-lepton unification and lepton flavor nonconservation from a TeV-scale seesaw neutrino mass texture. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 68(7). 19 indexed citations
15.
Benczik, Sándor, Lay Nam Chang, Djordje Minić, et al.. (2002). Short distance versus long distance physics: The classical limit of the minimal length uncertainty relation. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 66(2). 161 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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2026