Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Jacob Whitehill
Since
Specialization
Citations
This map shows the geographic impact of Jacob Whitehill'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 Jacob Whitehill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Whitehill more than expected).
This network shows the impact of papers produced by Jacob Whitehill. 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 Jacob Whitehill. The network helps show where Jacob Whitehill may publish in the future.
Co-authorship network of co-authors of Jacob Whitehill
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Whitehill.
A scholar is included among the top collaborators of Jacob Whitehill 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 Jacob Whitehill. Jacob Whitehill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jiang, Han, et al.. (2019). Measuring Students' Thermal Comfort and Its Impact on Learning.. Educational Data Mining.7 indexed citations
6.
Whitehill, Jacob, et al.. (2019). Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains.. Educational Data Mining.1 indexed citations
Aguerrebere, Cecilia, et al.. (2019). How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students. Educational Data Mining.
Aguerrebere, Cecilia, Cristóbal Cobo, & Jacob Whitehill. (2018). Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity.. Educational Data Mining.1 indexed citations
11.
Whitehill, Jacob, et al.. (2018). Who Are They Looking At? Automatic Eye Gaze Following for Classroom Observation Video Analysis.. Educational Data Mining.11 indexed citations
Whitehill, Jacob, Gwen Littlewort, Ian Fasel, Marian Stewart Bartlett, & Javier R. Movellan. (2009). Toward Practical Smile Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2106–2111.230 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.