Ad Kleingeld

29 papers receiving 943 citations

Ad Kleingeld's Hit Papers

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS 2016 · 276 citations
2760+3+6Years since publication50100150200250

Peers

Ad Kleingeld
Comparison fields: 5 of 96
  • Computer Science Applications 267
  • Applied Psychology 138
  • Management Information Systems 203
  • Organizational Behavior and Human Resource Management 220
  • Social Psychology 204
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Dorit Nevo United States
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Countries citing papers authored by Ad Kleingeld

Since Specialization
Citations

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

Fields of papers citing papers by Ad Kleingeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
Hit paper breakdown →
2016276
2 2011235
3 1999161
4 200455
5 200242
6 201142
7 202241
8 201936
9 201023
10 200618
11 201818
12 202015
13 202313
14 201512
15 20159
16 20258
17 20168
18 20187
19 20124
20 20194

About Ad Kleingeld

Ad Kleingeld is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management, Experimental and Cognitive Psychology, Applied Psychology and Education, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Motivation and Self-Concept in Sports (5 papers), Job Satisfaction and Organizational Behavior (5 papers), Online and Blended Learning (4 papers), Innovative Teaching and Learning Methods (4 papers), Online Learning and Analytics (4 papers), Behavioral Health and Interventions (3 papers), Education, Achievement, and Giftedness (3 papers) and Accounting and Organizational Management (3 papers). The work is most often cited by research in Computer Science Applications (267 citations), Applied Psychology (138 citations), Management Information Systems (203 citations), Organizational Behavior and Human Resource Management (220 citations) and Social Psychology (204 citations). Ad Kleingeld has collaborated with scholars based in Netherlands, Germany and Romania. Frequent co-authors include Heleen van Mierlo, Marco de Haas, Chris Snijders, Uwe Matzat, Rianne Conijn, Lidia R. Arends, Tanja Bipp, Henk Thierry, Karen van Dam and Irene Vanderfeesten. Their work appears in journals such as European Journal of Work and Organizational Psychology, Personnel Review, IEEE Transactions on Learning Technologies, Frontiers in Psychology and Management Accounting Research.

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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