Dan Sheppard

10 papers receiving 399 citations

Dan Sheppard's Hit Papers

Ensembl variation resources 2018 · 322 citations
3220+2+5Years since publication100200300

Peers

Dan Sheppard
Comparison fields: 5 of 94
  • Human-Computer Interaction 31
  • Aging 7
  • Genetics 107
  • Cancer Research 50
  • Molecular Biology 204
Replace Tianda Li with:
Tianda Li China
Melissa Vetter Germany
Andrew Parton United Kingdom
Sourya Bhattacharyya United States
Aaron Hechmer United States
Marc-Danie Nazaire United States
Inma González France
Peter Leemans Belgium
David Kunke Czechia
Vijaya G. Tirunagaru United States
Dan Sheppard relative to Tianda Li China Tianda Li's profile →
Citations per field
00.5×5.2×
Tianda Li · 1×
Citations per year

Countries citing papers authored by Dan Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Dan Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Ensembl variation resources
Hit paper breakdown →
2018322
2 201336
3 201316
4
Animated Paper Documents.
199711
5 19979
6 19975
7 19985
8
Paper Interfaces to the World-Wide Web.
19973
9 19972
10
Minibix: Item banking with web services
20081
11 20110
12 20110

About Dan Sheppard

Dan Sheppard is a scholar working on Human-Computer Interaction, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Science Applications and Molecular Biology, having authored 12 papers that have together received 410 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Multimedia Communication and Technology (4 papers), Open Education and E-Learning (4 papers), Augmented Reality Applications (4 papers), Genomics and Phylogenetic Studies (2 papers), Usability and User Interface Design (2 papers), Genomics and Rare Diseases (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Human-Computer Interaction (31 citations), Aging (7 citations), Genetics (107 citations), Cancer Research (50 citations) and Molecular Biology (204 citations). Dan Sheppard has collaborated with scholars based in United Kingdom. Frequent co-authors include Stephen J. Trevanion, Sarah Hunt, William McLaren, Helen Schuilenburg, Fiona Cunningham, Paul Flicek, Laurent Gil, Anja Thormann, Andrew Parton and Irina M. Armean. Their work appears in journals such as Research in Learning Technology, Database, Computer Graphics Forum, Nucleic Acids Research and Lecture notes in computer science.

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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