Allison Woodruff

5.5k citations
79 papers · 3.1k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Allison Woodruff

74 papers receiving 2.8k citations

Hit Papers

Guidelines for using multiple views in information visualization 2000 · 508 citations
5082000202620082017100200300400500

Peers

Allison Woodruff
Comparison fields: 5 of 123
  • Human-Computer Interaction 1.0k
  • Computer Science Applications 398
  • Computer Vision and Pattern Recognition 969
  • Information Systems and Management 290
  • Museology 110
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Allison Woodruff

Since Specialization
Citations

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

Fields of papers citing papers by Allison Woodruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202429
2 20235
3 20222
4 201830
5 20182
6
Intuitions, Analytics, and Killing Ants: Inference Literacy of High School-educated Adults in the {US}
201615
7 200614
8 2005105
9 200459
10 200411
11 20030
12 20027
13 200120
14 200152
15 19997
16 19981
17 199811
18 199839
19
The Sequoia 2000 electronic repository
19955
20 19914

About Allison Woodruff

Allison Woodruff is a scholar working on Human-Computer Interaction, Health Informatics, Computer Vision and Pattern Recognition, Computer Science Applications and Signal Processing, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Innovative Human-Technology Interaction (15 papers), Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (10 papers), Speech and dialogue systems (9 papers), Interactive and Immersive Displays (9 papers), Ethics and Social Impacts of AI (7 papers) and Usability and User Interface Design (6 papers). The work is most often cited by research in Human-Computer Interaction (1.0k citations), Computer Science Applications (398 citations), Computer Vision and Pattern Recognition (969 citations), Information Systems and Management (290 citations) and Museology (110 citations). Allison Woodruff has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Paul M. Aoki, Michelle Baldonado, Allan Kuchinsky, Michael Stonebraker, Sally Augustin, Jay Hasbrouck, Margaret H. Szymanski, Chris Myers, Alan Mainwaring and Amy Hurst. Their work appears in journals such as interactions, Computer Supported Cooperative Work (CSCW), IEEE Pervasive Computing, Journal of Visual Languages & Computing and ACM SIGMOD Record.

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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