Lilly Irani

6.3k citations
60 papers · 4.2k indexed · 3 hit papers · h-index 27

Impact in

Papers in

Lilly Irani

58 papers receiving 3.9k citations

Hit Papers

Turkopticon 2013 · 573 citations
5732010202620152020250500750

Peers

Lilly Irani
Comparison fields: 5 of 129
  • Computer Science Applications 1.4k
  • Human-Computer Interaction 987
  • Safety Research 539
  • Marketing 578
  • Business and International Management 113
Replace M. Six Silberman with:
M. Six Silberman United States
Shoshana Zuboff United States
Bonnie Nardi United States
Helen Nissenbaum United States
Jan Kietzmann Canada
Amy Bruckman United States
Heinz K. Klein United States
Neil Selwyn United Kingdom
Steven J. Jackson United States
Barry Brown United Kingdom
Lilly Irani relative to M. Six Silberman United States M. Six Silberman's profile →
Citations per field
00.5×4.5×
M. Six Silberman · 1×
Citations per year

Countries citing papers authored by Lilly Irani

Since Specialization
Citations

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

Fields of papers citing papers by Lilly Irani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
How Secrecy Leads to Bad Public Technology
20231
2 20234
3 202127
4 202141
5 20212
6 202054
7 201911
8 201860
9 201810
10
Operating an Employer Reputation System: Lessons from Turkopticon, 2008-2015
201630
11 201619
12 20151
13 201413
14
Turkopticon
Hit paper breakdown →
2013573
15
Microworking the Crowd
20124
16 2010134
17
Sensemaking for the rest of us
200813
18 20054
19 200428
20
ADVANCED ROUNDABOUT DESIGN USING ROBOSIGN
19921

About Lilly Irani

Lilly Irani is a scholar working on Computer Science Applications, Human-Computer Interaction, Museology, Safety Research and Business and International Management, having authored 60 papers that have together received 4.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (19 papers), Open Source Software Innovations (12 papers), Mobile Crowdsensing and Crowdsourcing (11 papers), Digital Economy and Work Transformation (7 papers), Ethics and Social Impacts of AI (7 papers), Information Systems Theories and Implementation (7 papers), ICT in Developing Communities (6 papers) and Teaching and Learning Programming (5 papers). The work is most often cited by research in Computer Science Applications (1.4k citations), Human-Computer Interaction (987 citations), Safety Research (539 citations), Marketing (578 citations) and Business and International Management (113 citations). Lilly Irani has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include M. Six Silberman, Joel Ross, Bill Tomlinson, Andrew Zaldivar, Paul Dourish, Kavita Philip, Rebecca E. Grinter, Janet Vertesi, Niloufar Salehi and Eric Roberts. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, Science Technology & Human Values, Communications of the ACM and South Atlantic Quarterly.

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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