David E. Pritchard

29 papers receiving 383 citations

Peers

David E. Pritchard
Comparison fields: 5 of 71
  • Computer Science Applications 61
  • Spectroscopy 117
  • Atomic and Molecular Physics, and Optics 189
  • Developmental and Educational Psychology 63
  • Education 112
Replace Susana Muñoz-Hernández with:
Susana Muñoz-Hernández Spain
P. García Portugal
Maria Luisa Chiofalo Italy
Andrés E. Guzmán United States
Martin Formánek United States
R. A. Burnstein United States
J.G.B. Haigh United Kingdom
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Arvind Kumar India
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Citations per year

Countries citing papers authored by David E. Pritchard

Since Specialization
Citations

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

Fields of papers citing papers by David E. Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Pritchard. 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 David E. Pritchard. The network helps show where David E. Pritchard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202318
3 20223
4 20195
5 20178
6 20171
7 20152
8
Comparing Learning in a MOOC and a Blended, On-Campus Course.
20141
9 200819
10 200834
11
What Course Elements Correlate with Improvement on Tests in Introductory Newtonian Mechanics
20023
12 20011
13 19970
14 19970
15 19979
16 19952
17
Interferometry with atoms and molecules
19941
18 19905
19 198524
20 197972

About David E. Pritchard

David E. Pritchard is a scholar working on Developmental and Educational Psychology, Architecture, Education, Media Technology and Statistics and Probability, having authored 33 papers that have together received 426 indexed citations. Recurring topics across this work include Science Education and Pedagogy (10 papers), Cold Atom Physics and Bose-Einstein Condensates (8 papers), Innovative Teaching and Learning Methods (8 papers), Innovative Teaching Methods (5 papers), Experimental Learning in Engineering (5 papers), Quantum, superfluid, helium dynamics (4 papers), Visual and Cognitive Learning Processes (3 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Computer Science Applications (61 citations), Spectroscopy (117 citations), Atomic and Molecular Physics, and Optics (189 citations), Developmental and Educational Psychology (63 citations) and Education (112 citations). David E. Pritchard has collaborated with scholars based in United States and Chile. Frequent co-authors include Neil Smith, Timothy A. Brunner, Richard D. Driver, Young‐Jin Lee, Elsa‐Sofia Morote, Phillip L. Gould, Andrew Pawl, Lei Bao, Andrew Ho and Lori Breslow. Their work appears in journals such as The Journal of Chemical Physics, Journal of Modern Optics, Physical Review Physics Education Research, Physical Review Special Topics - Physics Education Research and Japanese Journal of Applied Physics.

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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