David E. Pritchard

19.3k citations
199 papers · 14.2k indexed · 7 hit papers · h-index 63

David E. Pritchard

194 papers receiving 13.3k citations

Hit Papers

Studying Learning in the Wo...6921987202620002013250500750

Peers

David E. Pritchard
Comparison fields: 5 of 146
  • Atomic and Molecular Physics, and Optics 11.8k
  • Computer Science Applications 1.2k
  • Acoustics and Ultrasonics 100
  • Spectroscopy 1.7k
  • Artificial Intelligence 2.9k
Replace Carl Wieman with:
Carl Wieman United States
F. Reif United States
Lewis Elton United Kingdom
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Mark I. Stockman United States
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Citations per field
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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-authorship network

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 201933
2
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes.
201524
3
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach.
20151
4 20154
5
Who does what in a massive open online course
20143
6 20148
7 20147
8
Exploring the relationship between course structure and etext usage in blended and open online courses.
20134
9
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX
201351
10
Studying Learning in the Worldwide Classroom Research into edX's First MOOC.breakdown →
2013692
11
Analysis of video use in edX courses
20132
12
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory
201266
13 200747
14 200718
15
Interference of Bose-Einstein Condensates on an Atom Chip
20063
16
Learning and Problem-Solving Transfer between Physics Problems using Web-based Homework Tutor
20059
17 2004353
18 200396
19
Observation of phase coherent amplification of atomic matter waves
20001
20
Experiments with a separated-beam atom interferometer
19931

About David E. Pritchard

David E. Pritchard is a scholar working on Computer Science Applications, Atomic and Molecular Physics, and Optics, Spectroscopy, Statistics, Probability and Uncertainty and Health Informatics, having authored 199 papers that have together received 14.2k indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (123 papers), Atomic and Subatomic Physics Research (41 papers), Atomic and Molecular Physics (32 papers), Online Learning and Analytics (28 papers), Quantum Information and Cryptography (26 papers), Quantum optics and atomic interactions (25 papers), Advanced Frequency and Time Standards (24 papers) and Spectroscopy and Laser Applications (24 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (11.8k citations), Computer Science Applications (1.2k citations), Acoustics and Ultrasonics (100 citations), Spectroscopy (1.7k citations) and Artificial Intelligence (2.9k citations). David E. Pritchard has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include Wolfgang Ketterle, Jörg Schmiedmayer, Alexander D. Cronin, Christopher R. Ekstrom, A. P. Chikkatur, E. L. Raab, Mara Prentiss, S. Inouye, Steven Chu and Alex Cable. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics, Physical Review A, Science and Applied Physics B.

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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