Jacki O’Neill

2.0k citations
62 papers · 1.3k · h-index 21

Impact in

Papers in

Jacki O’Neill

60 papers receiving 1.2k citations

Peers

Jacki O’Neill
Comparison fields: 5 of 100
  • Computer Science Applications 301
  • Human-Computer Interaction 270
  • Marketing 266
  • Business and International Management 54
  • Information Systems 386
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Ellie Harmon United States
Elizabeth M. Gerber United States
Silvia Lindtner United States
Joyojeet Pal United States
Pernille Bjørn Denmark
Kathrin M. Möslein Germany
Ramiro Gonçalves Portugal
Hamid R. Ekbia United States
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Citations per field
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Citations per year

Countries citing papers authored by Jacki O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Jacki O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacki O’Neill. 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 Jacki O’Neill. The network helps show where Jacki O’Neill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014211
2 200386
3 201465
4 201664
5 201662
6 201548
7 201142
8 201541
9 201739
10 201837
11 201735
12 201930
13 201630
14 200629
15 201525
16 202024
17 202024
18 201124
19 201823
20 201622

About Jacki O’Neill

Jacki O’Neill is a scholar working on Sociology and Political Science, Information Systems, Human-Computer Interaction, Computer Science Applications and Marketing, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include ICT in Developing Communities (18 papers), Innovative Human-Technology Interaction (11 papers), Sharing Economy and Platforms (10 papers), Digital Economy and Work Transformation (9 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Information Systems Theories and Implementation (7 papers), Usability and User Interface Design (6 papers) and Microfinance and Financial Inclusion (6 papers). The work is most often cited by research in Computer Science Applications (301 citations), Human-Computer Interaction (270 citations), Marketing (266 citations), Business and International Management (54 citations) and Information Systems (386 citations). Jacki O’Neill has collaborated with scholars based in India, United States and France. Frequent co-authors include David Martin, Neha Gupta, Benjamin V. Hanrahan, Nicola J. Bidwell, Apurv Mehra, William Thies, David Martín, Claus Bossen, Paromita Pain and Edward Cutrell. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), Proceedings of the ACM on Human-Computer Interaction, Human Studies, IEEE Intelligent Systems and Artificial Intelligence and Law.

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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