Dan Sheppard

26.1k total citations · 1 hit paper
11 papers, 376 citations indexed

About

Dan Sheppard is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Dan Sheppard has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Science Applications. Recurrent topics in Dan Sheppard's work include Open Education and E-Learning (4 papers), Augmented Reality Applications (4 papers) and Interactive and Immersive Displays (4 papers). Dan Sheppard is often cited by papers focused on Open Education and E-Learning (4 papers), Augmented Reality Applications (4 papers) and Interactive and Immersive Displays (4 papers). Dan Sheppard collaborates with scholars based in United Kingdom. Dan Sheppard's co-authors include Stephen J. Trevanion, William McLaren, Helen Schuilenburg, Andrew Parton, Paul Flicek, Sarah Hunt, Anja Thormann, Irina M. Armean, Laurent Gil and Fiona Cunningham and has published in prestigious journals such as Nucleic Acids Research, Computer Graphics Forum and Database.

In The Last Decade

Dan Sheppard

8 papers receiving 370 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensembl variation resources

2018 309 citations Sarah Hunt, William McLaren et al. Database profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Sheppard United Kingdom	5	214	107	58	44	22	11	376
Andrew Parton United Kingdom	5	215 1.0×	110 1.0×	59 1.0×	41 0.9×	25 1.1×	5	389
Magdalena Skipper United States	9	208 1.0×	108 1.0×	33 0.6×	30 0.7×	23 1.0×	81	362
Sangeeta Chatterjee India	4	245 1.1×	68 0.6×	43 0.7×	33 0.8×	14 0.6×	5	345
David Kunke Czechia	12	273 1.3×	83 0.8×	44 0.8×	36 0.8×	40 1.8×	21	417
Angus Yiu-Fai Lee United States	6	387 1.8×	158 1.5×	48 0.8×	41 0.9×	26 1.2×	7	484
Sourya Bhattacharyya United States	9	360 1.7×	96 0.9×	39 0.7×	75 1.7×	20 0.9×	19	499
Kathryn Hall United States	10	175 0.8×	108 1.0×	33 0.6×	40 0.9×	54 2.5×	21	340
Bruno Passet France	14	494 2.3×	133 1.2×	68 1.2×	83 1.9×	15 0.7×	45	666
Romain Groux Switzerland	7	453 2.1×	80 0.7×	61 1.1×	55 1.3×	30 1.4×	9	537
Yie‐Teh Yu United States	9	392 1.8×	102 1.0×	26 0.4×	31 0.7×	31 1.4×	10	447

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-authorship network of co-authors of Dan Sheppard

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Sheppard. A scholar is included among the top collaborators of Dan Sheppard 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 Dan Sheppard. Dan Sheppard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Hunt, Sarah, William McLaren, Laurent Gil, et al.. (2018). Ensembl variation resources. Database. 2018. 309 indexed citations breakdown →

2.

Harrow, Jennifer, Charles A. Steward, Adam Frankish, et al.. (2013). The Vertebrate Genome Annotation browser 10 years on. Nucleic Acids Research. 42(D1). D771–D779. 33 indexed citations

3.

Steward, Charles A., José M. González, Stephen J. Trevanion, et al.. (2013). The non-obese diabetic mouse sequence, annotation and variation resource: an aid for investigating type 1 diabetes. Database. 2013. bat032–bat032. 15 indexed citations

4.

Harding, R. D., et al.. (2011). New technology for interactive CAL: the Origami project. Research in Learning Technology. 5(1).

5.

Brown, Heather, et al.. (2011). Active paper for active learning. Research in Learning Technology. 6(1).

6.

Chan, Raymond, et al.. (2008). Minibix: Item banking with web services. Loughborough University Institutional Repository (Loughborough University). 1 indexed citations

7.

Robinson, Peter, et al.. (1997). Animated Paper Documents.. International Conference on Human-Computer Interaction. 655–658. 8 indexed citations

8.

Robinson, Peter, et al.. (1997). Paper Interfaces to the World-Wide Web.. WebNet. 2 indexed citations

9.

Robinson, Peter, et al.. (1997). A Framework for Interacting with Paper. Computer Graphics Forum. 16(3). 5 indexed citations

10.

Robinson, Peter, et al.. (1997). A Framework for Interacting with Paper. Computer Graphics Forum. 16(s3). 2 indexed citations

11.

Harding, R. D., et al.. (1997). New technology for interactive CAL: The origami project. ALT-J. 5(1). 6–12. 1 indexed citations

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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