David Hubbard

39 papers receiving 427 citations

Peers

David Hubbard
Comparison fields: 5 of 104
  • Bioengineering 113
  • Internal Medicine 45
  • Electrochemistry 72
  • Neurology 173
  • Library and Information Sciences 14
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Countries citing papers authored by David Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by David Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994125
2 201249
3 201443
4 201230
5 201226
6 201224
7 201316
8 201315
9 195813
10 201312
11 201111
12 201911
13 20148
14 20207
15 20196
16
Collaborative Data Literacy Education for Research Labs: A Case Study at a Large Research University
20214
17 20174
18 20183
19 20173
20 20103

About David Hubbard

David Hubbard is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Neurology, Computer Science Applications and Mathematical Physics, having authored 40 papers that have together received 445 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (10 papers), Cerebral Venous Sinus Thrombosis (8 papers), Open Education and E-Learning (5 papers), Library Science and Information Literacy (4 papers), Library Collection Development and Digital Resources (4 papers), Algebraic Geometry and Number Theory (4 papers), Publishing and Scholarly Communication (3 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). The work is most often cited by research in Bioengineering (113 citations), Internal Medicine (45 citations), Electrochemistry (72 citations), Neurology (173 citations) and Library and Information Sciences (14 citations). David Hubbard has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Patrick J. Kinlen, E. Mark Haacke, Wei Feng, David Utriainen, Gabriela Trifan, Zahid Latif, Jane Stephens, Richard R. Saxon, Yashwanth Katkuri and J. Justin Gooding. Their work appears in journals such as The Journal of Academic Librarianship, Science & Technology Libraries, Journal of Vascular and Interventional Radiology, Journal of Number Theory and Proceedings of the American Society for Information Science and Technology.

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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