Jeff Sauro

31 papers receiving 2.1k citations

Hit Papers

Quantifying the User Experience: Practical Statistics for...20122026201620212012200400600

Peers

Jeff Sauro
Comparison fields: 5 of 179
  • Human-Computer Interaction 795
  • Information Systems 398
  • Information Systems and Management 321
  • Computer Vision and Pattern Recognition 313
  • Social Psychology 253
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Countries citing papers authored by Jeff Sauro

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Sauro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Sauro

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Sauro. A scholar is included among the top collaborators of Jeff Sauro 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 Jeff Sauro. Jeff Sauro 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 6
2 229
3 79
4 11
5
Can I leave this one out?: the effect of dropping an item from the SUS
31
6
Quantifying the User Experience, Second Edition: Practical Statistics for User Research
32
7
The challenges and opportunities of measuring the user experience
6
8 1
9
SUPR-Q: a comprehensive measure of the quality of the website user experience
80
10
The relationship between problem frequency and problem severity in usability evaluations
3
11 2
12 2
13 6
14
Rent a Car in Just 0, 60, 240 or 1,217 Seconds? - Comparative Usability Measurement, CUE-8
9
15 11
16 50
17
When 100% really isn't 100%: improving the accuracy of small-sample estimates of completion rates
75
18 3
19
Making Sense of Usability Metrics: Usability and Six Sigma
13
20 159

About Jeff Sauro

Jeff Sauro is a scholar working on Human-Computer Interaction, Information Systems and Management and Management of Technology and Innovation, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Usability and User Interface Design (16 papers), Technology Adoption and User Behaviour (8 papers) and Software Engineering Techniques and Practices (5 papers). The work is most often cited by research in Human-Computer Interaction (795 citations), Information Systems and Management (321 citations) and Human Factors and Ergonomics (53 citations). Jeff Sauro has collaborated with scholars based in United States, Brazil and Czechia. Frequent co-authors include James R. Lewis, Joseph S. Dumas, Kristin Johnson, Neil Williams, Paula E. Tucker, Jurek Kirakowski, Randolph G. Bias, Rolf Molich, Philip Kortum and James B. Wendt. Their work appears in journals such as International Journal of Human-Computer Interaction, Interacting with Computers and The Journal of Deaf Studies and Deaf Education.

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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