Alexander J. Quinn

21 papers receiving 944 citations

Hit Papers

Human computation20112026201620212011100200300400500

Peers

Alexander J. Quinn
Comparison fields: 5 of 107
  • Computer Science Applications 523
  • Artificial Intelligence 317
  • Computer Vision and Pattern Recognition 234
  • Information Systems 156
  • Management Science and Operations Research 138
Replace Ioanna Lykourentzou with:
Ioanna Lykourentzou Netherlands
Gabriella Kazai United Kingdom
Haoqi Zhang United States
Xavier Ochôa Ecuador
Colin McMillen United States
Matthias Hirth Germany
Alexandra I. Cristea United Kingdom
Silvia Schiaffino Argentina
Boris Smus United States
Natalia Stash Netherlands
Alexander J. Quinn relative to Ioanna Lykourentzou Netherlands Ioanna Lykourentzou's profile →
Citations per field
00.5×3.2×
Ioanna Lykourentzou · 1×
Citations per year

Countries citing papers authored by Alexander J. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Alexander J. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander J. Quinn. 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 Alexander J. Quinn. The network helps show where Alexander J. Quinn may publish in the future.

Co-authorship network of co-authors of Alexander J. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander J. Quinn. A scholar is included among the top collaborators of Alexander J. Quinn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander J. Quinn. Alexander J. Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 7
5 2
6 18
7 0
8 6
9 13
10 17
11 26
12 13
13 29
14 8
15 60
16
Human computationbreakdown →
511
17 69
18 7
19 163
20 1

About Alexander J. Quinn

Alexander J. Quinn is a scholar working on Computer Science Applications, Software and Human-Computer Interaction, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Open Source Software Innovations (3 papers) and Personal Information Management and User Behavior (2 papers). The work is most often cited by research in Computer Science Applications (523 citations), Human-Computer Interaction (102 citations) and Computer Vision and Pattern Recognition (234 citations). Alexander J. Quinn has collaborated with scholars based in United States and Japan. Frequent co-authors include Benjamin B. Bederson, Taowei David Wang, Shawn N. Murphy, Catherine Plaisant, Ben Shneiderman, Allison Druin, Elizabeth Bonsignore, Karthik Ramani, Xun Qian and Yuanzhi Cao. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, IEEE Robotics and Automation Letters and ACM Transactions on Intelligent Systems 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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