Ewa Luger

2.4k citations
45 papers · 1.5k · 1 hit paper · h-index 14

Impact in

Papers in

Ewa Luger

42 papers receiving 1.4k citations

Ewa Luger's Hit Papers

"Like Having a Really Bad PA" 2016 · 686 citations
6860+3+6Years since publication200400600

Peers

Ewa Luger
Comparison fields: 5 of 91
  • Human-Computer Interaction 406
  • Health Informatics 62
  • Artificial Intelligence 879
  • Computer Science Applications 129
  • Safety Research 194
Replace Kun Xu with:
Kun Xu United States
Zahra Ashktorab United States
Benjamin R. Cowan Ireland
Richmond Y. Wong United States
Jessica Hammer United States
Nora McDonald United States
Andreas Janson Germany
Shion Guha United States
Emilee Rader United States
Morgan Klaus Scheuerman United States
Ewa Luger relative to Kun Xu United States Kun Xu's profile →
Citations per field
00.5×10×15×20×23.5×
Kun Xu · 1×
Citations per year

Countries citing papers authored by Ewa Luger

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Luger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
"Like Having a Really Bad PA"
Hit paper breakdown →
2016686
2 2021140
3 201393
4 201686
5 201361
6 201560
7 201737
8 201835
9 202234
10 202125
11 202024
12 201521
13 201320
14 201914
15 201613
16 202312
17 202311
18 202410
19 202010
20 201210

About Ewa Luger

Ewa Luger is a scholar working on Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction, Safety Research and Social Psychology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (15 papers), Privacy, Security, and Data Protection (13 papers), AI in Service Interactions (10 papers), Ethics and Social Impacts of AI (10 papers), Social Robot Interaction and HRI (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Human-Computer Interaction (406 citations), Health Informatics (62 citations), Artificial Intelligence (879 citations), Computer Science Applications (129 citations) and Safety Research (194 citations). Ewa Luger has collaborated with scholars based in United Kingdom, Norway and United States. Frequent co-authors include Abigail Sellen, Tom Rodden, Stuart Moran, Asbjørn Følstad, Petter Bae Brandtzæg, Rhianne Jones, James Colley, Andy Crabtree, Peter Tolmie and Lachlan Urquhart. Their work appears in journals such as Interacting with Computers, Digital Journalism, Computing, Lecture notes in computer science and Nottingham ePrints (University of Nottingham).

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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