Glenn Lopez

690 total citations
11 papers, 408 citations indexed

About

Glenn Lopez is a scholar working on Computer Science Applications, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Glenn Lopez has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 1 paper in Clinical Psychology. Recurrent topics in Glenn Lopez's work include Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Imbalanced Data Classification Techniques (2 papers). Glenn Lopez is often cited by papers focused on Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Imbalanced Data Classification Techniques (2 papers). Glenn Lopez collaborates with scholars based in United States, Singapore and Australia. Glenn Lopez's co-authors include Justin Reich, Jacob Whitehill, Cody Coleman, Joseph Jay Williams, Isaac L. Chuang, Andrew Ho, Dustin Tingley, Curtis G. Northcutt, Rebecca P. Petersen and John Hansen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, DSpace@MIT (Massachusetts Institute of Technology) and Educational Data Mining.

In The Last Decade

Glenn Lopez

10 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glenn Lopez United States	8	317	139	101	64	59	11	408
Jared Stein United States	6	314 1.0×	227 1.6×	79 0.8×	56 0.9×	97 1.6×	7	500
Rodrigo Lins Rodrigues Brazil	10	185 0.6×	140 1.0×	48 0.5×	62 1.0×	82 1.4×	100	362
Clara Schumacher Germany	7	350 1.1×	189 1.4×	103 1.0×	109 1.7×	79 1.3×	9	510
Nick Z. Zacharis Greece	9	253 0.8×	232 1.7×	75 0.7×	98 1.5×	101 1.7×	13	474
Miguel Sánchez‐Santillán Spain	8	315 1.0×	171 1.2×	103 1.0×	114 1.8×	100 1.7×	16	459
Christopher Douce United Kingdom	7	259 0.8×	102 0.7×	50 0.5×	55 0.9×	123 2.1×	16	433
Avinash Boroowa United Kingdom	9	319 1.0×	167 1.2×	59 0.6×	38 0.6×	56 0.9×	11	395
Tanya Nazaretsky Israel	7	189 0.6×	92 0.7×	139 1.4×	53 0.8×	74 1.3×	12	389
Maya Bialik	2	236 0.7×	105 0.8×	156 1.5×	59 0.9×	104 1.8×	3	474
Shaun Kellogg United States	8	201 0.6×	167 1.2×	56 0.6×	82 1.3×	47 0.8×	14	322

Countries citing papers authored by Glenn Lopez

Since Specialization

Citations

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

Fields of papers citing papers by Glenn Lopez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn Lopez

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kizilcec, René F., Justin Reich, Michael Yeomans, et al.. (2020). Scaling up behavioral science interventions in online education. Proceedings of the National Academy of Sciences. 117(26). 14900–14905. 100 indexed citations

2.

Rosen, Yigal, et al.. (2018). The effects of adaptive learning in a massive open online course on learners' skill development. 1–8. 20 indexed citations

3.

Rosen, Yigal, et al.. (2017). Adaptive Assessment Experiment in a HarvardX MOOC.. Educational Data Mining. 4 indexed citations

4.

Lopez, Glenn, et al.. (2017). Google BigQuery for Education. DSpace@MIT (Massachusetts Institute of Technology). 181–184. 18 indexed citations

5.

Türkay, Selen, et al.. (2017). Getting to Know English Language Learners in MOOCs. 209–212. 8 indexed citations

6.

Lopez, Glenn, et al.. (2016). Instructor Dashboards In EdX. 335–336. 1 indexed citations

7.

Whitehill, Jacob, Joseph Jay Williams, Glenn Lopez, Cody Coleman, & Justin Reich. (2015). Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.. Educational Data Mining. 171–178. 3 indexed citations

8.

Ho, Andrew, Isaac L. Chuang, Justin Reich, et al.. (2015). HarvardX and MITx: Two Years of Open Online Courses Fall 2012-Summer 2014. SSRN Electronic Journal. 164 indexed citations

9.

Whitehill, Jacob, J. E. D. Williams, Glenn Lopez, Cody Coleman, & Justin Reich. (2015). Beyond Prediction: First Steps toward Automatic Intervention in MOOC Student Stopout.. 14 indexed citations

10.

Whitehill, Jacob, J. E. D. Williams, Glenn Lopez, Cody Coleman, & Justin Reich. (2015). Beyond Prediction: First Steps Toward Automatic Intervention in MOOC Student Stopout. SSRN Electronic Journal. 57 indexed citations

11.

Ho, Andrew, Isaac L. Chuang, Justin Reich, et al.. (2015). HarvardX and MITx: Two Years of Open Online Courses Fall 2012-Summer 2014. DSpace@MIT (Massachusetts Institute of Technology). 19 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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