Tonia Sutherland

427 citations
24 papers · 232 · h-index 8

Impact in

Papers in

Tonia Sutherland

23 papers receiving 211 citations

Peers

Tonia Sutherland
Comparison fields: 5 of 72
  • Library and Information Sciences 29
  • Conservation 44
  • Space and Planetary Science 14
  • Human-Computer Interaction 24
  • Safety Research 35
Replace Laurence Raw with:
Laurence Raw Türkiye
Eliza T. Dresang United States
Donna Lanclos United Kingdom
Miriam E. Sweeney United States
Anna Münster Australia
Jeannette A. Bastian United States
Bárbara Fister United States
Charlie Gere United Kingdom
Holger Pötzsch Norway
Robert Willim Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Tonia Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Tonia Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Tonia Sutherland, 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 Tonia Sutherland Line = papers co-authored together Tonia Sutherland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201740
2 202037
3 201836
4 201730
5 202226
6 20198
7 20198
8 20237
9 20196
10 20216
11 20175
12 20234
13 20233
14 19843
15 20223
16 20162
17 20202
18 20141
19 20191
20 20151

About Tonia Sutherland

Tonia Sutherland is a scholar working on Sociology and Political Science, Conservation, Music, Visual Arts and Performing Arts and Social Psychology, having authored 24 papers that have together received 232 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (6 papers), Theatre and Performance Studies (3 papers), Race, History, and American Society (3 papers), Information Systems Theories and Implementation (3 papers), Oral History, Memory, Narrative Analysis (2 papers), Ethics and Social Impacts of AI (2 papers), Library Science and Administration (2 papers) and Memory, Trauma, and Commemoration (2 papers). The work is most often cited by research in Library and Information Sciences (29 citations), Conservation (44 citations), Space and Planetary Science (14 citations), Human-Computer Interaction (24 citations) and Safety Research (35 citations). Tonia Sutherland has collaborated with scholars based in United States and Canada. Frequent co-authors include Niloufar Salehi, Marika Cifor, Patricia Martínez García, Anita Chan, Catherine D’Ignazio, Lauren Klein, Amelia Acker, R. G. Kauffman, Stacy Wood and Michelle Caswell. Their work appears in journals such as The Black Scholar, Library trends, Radical History Review, Journal of Animal Science and New Media & Society.

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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