Alexandra Papoutsaki

1.7k citations
20 papers · 1.0k indexed · 1 hit paper · h-index 10

Alexandra Papoutsaki

17 papers receiving 1.0k citations

Hit Papers

Pan-cancer network analysis identifies combinations of ra...5882014202620182022100200300400500

Peers

Alexandra Papoutsaki
Comparison fields: 5 of 111
  • Human-Computer Interaction 215
  • Cancer Research 206
  • Computer Science Applications 51
  • Molecular Biology 509
  • Applied Psychology 27
Replace Anne R. Haake with:
Anne R. Haake United States
Katharina A. Zweig Germany
Donald McMillan United Kingdom
Michael L. Bernard United States
Yan Su United States
David A. Bray United States
Michael Miller United States
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Chris Varma United States
Boyko Kakaradov United States
Alexandra Papoutsaki relative to Anne R. Haake United States Anne R. Haake's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alexandra Papoutsaki

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Papoutsaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20230
5 202333
6 20220
7 20228
8 20215
9 20218
10 20215
11 202017
12 201923
13 201823
14 20182
15 201735
16 201772
17
Webgazer: scalable webcam eye tracking using user interactions
2016132
18 201555
19 201513
20
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexesbreakdown →
2014588

About Alexandra Papoutsaki

Alexandra Papoutsaki is a scholar working on Human-Computer Interaction, Computer Science Applications and Applied Psychology, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Interactive and Immersive Displays (4 papers), Innovative Human-Technology Interaction (4 papers), Digital Mental Health Interventions (3 papers), Visual Attention and Saliency Detection (2 papers), Knowledge Management and Sharing (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Human-Computer Interaction (215 citations), Cancer Research (206 citations) and Computer Science Applications (51 citations). Alexandra Papoutsaki has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Jeff Huang, Benjamin J. Raphael, Abel González-Pérez, Yu‐Wei Cheng, Li Ding, Fabio Vandin, Michael D. McLellan, Jacob Thomas, Younhun Kim and Mark D.M. Leiserson. Their work appears in journals such as Nature Genetics, Behavior Research Methods and Proceedings of the ACM on Human-Computer Interaction.

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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