Tamara Sumner

3.5k citations
152 papers · 2.7k · h-index 28

Impact in

Papers in

Tamara Sumner

143 papers receiving 2.4k citations

Peers

Tamara Sumner
Comparison fields: 5 of 92
  • Computer Science Applications 535
  • Human-Computer Interaction 327
  • Library and Information Sciences 103
  • Information Systems 730
  • Artificial Intelligence 777
Replace Michael Bernard Twidale with:
Michael Bernard Twidale United States
Brian S. Magerko United States
Manuel A. Pérez-Quiñones United States
Demetrios G. Sampson Greece
Robert D. Macredie United Kingdom
Frank M. Shipman III United States
Catherine C. Marshall United States
Marek Hatala Canada
Kate Ehrlich United States
Anders I. Mørch Norway
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Citations per field
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Citations per year

Countries citing papers authored by Tamara Sumner

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995155
2 2016149
3 1993125
4 2016122
5 201493
6 201589
7 200882
8 199378
9 201566
10 201161
11 199857
12 201456
13 202053
14 202253
15
Understanding educator perceptions of ―quality‖ in digital libraries
200348
16 199642
17 200442
18 200138
19 200538
20 199736

About Tamara Sumner

Tamara Sumner is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Library and Information Sciences and Education, having authored 152 papers that have together received 2.7k indexed citations. Recurring topics across this work include Library Science and Information (30 papers), Open Education and E-Learning (21 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers), Online Learning and Analytics (15 papers), Library Science and Information Literacy (13 papers), Teaching and Learning Programming (12 papers), Design Education and Practice (11 papers) and Science Education and Pedagogy (10 papers). The work is most often cited by research in Computer Science Applications (535 citations), Human-Computer Interaction (327 citations), Library and Information Sciences (103 citations), Information Systems (730 citations) and Artificial Intelligence (777 citations). Tamara Sumner has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Md Arafat Sultan, Alexander Repenning, Steven J. Bethard, William R. Penuel, Simon Buckingham Shum, Kirsten R. Butcher, James Martin, Jonathan Ostwald, Gerry Stahl and Heather Leary. Their work appears in journals such as D-Lib Magazine, International Journal on Digital Libraries, Journal of Learning Analytics, The Knowledge Engineering Review and AI Magazine.

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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