Robert Bodily

1.5k citations
22 papers · 1.2k · h-index 14

Impact in

Papers in

Robert Bodily

21 papers receiving 1.1k citations

Peers

Robert Bodily
Comparison fields: 5 of 78
  • Computer Science Applications 802
  • Developmental and Educational Psychology 317
  • Education 557
  • Information Systems 214
  • Health Informatics 9
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Il‐Hyun Jo South Korea
Hengtao Tang United States
Paula De Barba Australia
Negin Mirriahi Australia
Lori Breslow United States
Andrew A. Tawfik United States
Mart Laanpere Estonia
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Citations per field
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Citations per year

Countries citing papers authored by Robert Bodily

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bodily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017234
2 2015173
3 2018124
4 2015122
5 2017117
6 2016115
7 201878
8 201872
9 201771
10 201619
11 201716
12 201616
13
Online Learner Engagement: Opportunities and Challenges with Using Data Analytics
201715
14 202015
15
A Multi-Experimental Examination of Analyzing Mouse Cursor Trajectories to Gauge Subject Uncertainty
20157
16
Continuous Improvement of Instructional Materials
20216
17 20184
18 20211
19 20171
20 20181

About Robert Bodily

Robert Bodily is a scholar working on Computer Science Applications, Education, Artificial Intelligence, Developmental and Educational Psychology and Information Systems, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (12 papers), Online and Blended Learning (9 papers), Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), E-Learning and Knowledge Management (4 papers), Open Education and E-Learning (3 papers), Digital literacy in education (2 papers) and Gender and Technology in Education (2 papers). The work is most often cited by research in Computer Science Applications (802 citations), Developmental and Educational Psychology (317 citations), Education (557 citations), Information Systems (214 citations) and Health Informatics (9 citations). Robert Bodily has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Katrien Verbert, Charles R. Graham, Olga Belikov, Curtis R. Henrie, Heather Leary, Richard E. West, Ross Larsen, Vincent Aleven, Françeska Xhakaj and Judy Kay. Their work appears in journals such as The International Review of Research in Open and Distributed Learning, Journal of Computing in Higher Education, TechTrends, IEEE Transactions on Learning Technologies and British Journal of Educational Technology.

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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