David J. Pritchard

670 citations
34 papers · 385 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (8 papers)Primate Behavior and Ecology (5 papers)Animal Behavior and Reproduction (4 papers)
Journals
SHILAP Revista de lepidopterologíaCurrent BiologyAnimal Behaviour

In The Last Decade

David J. Pritchard

33 papers receiving 371 citations

Peers

David J. Pritchard
Comparison fields: 5 of 78
  • Ecology, Evolution, Behavior and Systematics 161
  • Social Psychology 84
  • Computer Vision and Pattern Recognition 70
  • Computational Mechanics 46
  • Plant Science 42
Replace Rafael Álvarez with:
Rafael Álvarez Spain
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Akos Dobay Switzerland
H. G. Landau United States
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J.R. Jarvis United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David J. Pritchard

Since Specialization
Citations

This map shows the geographic impact of David J. 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 J. 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 J. Pritchard more than expected).

Fields of papers citing papers by David J. Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Pritchard

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Pritchard. A scholar is included among the top collaborators of David J. Pritchard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Pritchard. David J. Pritchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 25
3 11
4 81
5 11
6 10
7 13
8 10
9 8
10
Testing Intelligent Tutoring System.
0
11 16
12 2
13 3
14
High Performance Computing for All
2
15
Performance Visualisation in a Portable Parallel Programming Environment
4
16
Transputer Applications on Supernode
4
17
Applications of Transputers 2
25
18
Performance analysis and measurement on transputer arrays
2
19
Practical Parallelism Using Transputer Arrays at Parallel Architectures and Languages
1
20 1

About David J. Pritchard

David J. Pritchard is a scholar working on Developmental Biology, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 385 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Primate Behavior and Ecology (5 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Developmental Biology (36 citations), Computer Graphics and Computer-Aided Design (33 citations) and Ecology, Evolution, Behavior and Systematics (161 citations). David J. Pritchard has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Susan D. Healy, Wolfgang Heidrich, T. Andrew Hurly, Mario Vallejo‐Marín, Maria C. Tello-Ramos, Denis A. Nicole, Tony Hey, J. T. Chalker, D.B. Carpenter and Felicity Muth. Their work appears in journals such as SHILAP Revista de lepidopterología, Current Biology and Animal Behaviour.

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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