Thomas L. Naps

2.1k citations
59 papers · 1.5k · h-index 19

Impact in

    • Teaching and Learning Programming
    • Online Learning and Analytics
    • Open Education and E-Learning
  • Software top 2%
    • Software Testing and Debugging Techniques

Papers in

Thomas L. Naps

58 papers receiving 1.3k citations

Peers

Thomas L. Naps
Comparison fields: 5 of 55
  • Computer Science Applications 1.2k
  • Software 249
  • Developmental and Educational Psychology 593
  • Media Technology 248
  • Hardware and Architecture 128
Replace Guido Rößling with:
Guido Rößling Germany
Susan H. Rodger United States
Myles McNally United States
Vicki L. Almstrum United States
Wanda Dann United States
Ville Karavirta Finland
Owen Astrachan United States
Sue Fitzgerald United States
Otto Seppälä Finland
Petri Ihantola Finland
Thomas L. Naps relative to Guido Rößling Germany Guido Rößling's profile →
Citations per field
00.5×1.5×
Guido Rößling · 1×
Citations per year

Countries citing papers authored by Thomas L. Naps

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Naps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas L. Naps. 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 Thomas L. Naps. The network helps show where Thomas L. Naps may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002429
2 2002156
3 2000106
4 2003102
5 200856
6 199048
7 200641
8 200240
9 201339
10 201134
11 200328
12 200026
13 199424
14 201323
15 199720
16 199620
17 199619
18 200518
19 199018
20 199917

About Thomas L. Naps

Thomas L. Naps is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Teaching and Learning Programming (28 papers), Online Learning and Analytics (23 papers), Educational Games and Gamification (20 papers), Innovative Teaching and Learning Methods (7 papers), Open Education and E-Learning (6 papers), Algorithms and Data Compression (6 papers), Data Visualization and Analytics (5 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Computer Science Applications (1.2k citations), Software (249 citations), Developmental and Educational Psychology (593 citations), Media Technology (248 citations) and Hardware and Architecture (128 citations). Thomas L. Naps has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Guido Rößling, Ari Korhonen, Myles McNally, Lauri Malmi, Rudolf Fleischer, Wanda Dann, J. Ángel Velázquez‐Iturbide, Susan H. Rodger, Vicki L. Almstrum and James Eagan. Their work appears in journals such as Science of Computer Programming, Journal of Visual Languages & Computing, Electronic Notes in Theoretical Computer Science, Medical Entomology and Zoology and Journal of computing sciences in colleges.

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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