Jacki O’Neill

2.0k citations
74 papers · 1.6k · h-index 22

Impact in

Papers in

Jacki O’Neill

72 papers receiving 1.5k citations

Peers

Jacki O’Neill
Comparison fields: 5 of 94
  • Computer Science Applications 346
  • Human-Computer Interaction 324
  • Marketing 297
  • Business and International Management 58
  • Information Systems 430
Replace Karen Robson with:
Karen Robson Canada
Jeanette Blomberg United States
Muhammad Shujahat Hong Kong
Ellie Harmon United States
David G. Hendry United States
Daniel Stieger Austria
Yvonne Dittrich Denmark
Elizabeth M. Gerber United States
Mark Stansfield United Kingdom
Fernando Moreira Portugal
Jacki O’Neill relative to Karen Robson Canada Karen Robson's profile →
Citations per field
00.5×2×2.9×
Karen Robson · 1×
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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 2003108
3 201779
4 201670
5 201467
6 201667
7 201555
8 201149
9 201542
10 201742
11 201840
12 200634
13 201933
14 201631
15 201130
16 201527
17 202026
18 201826
19 201625
20 202025

About Jacki O’Neill

Jacki O’Neill is a scholar working on Sociology and Political Science, Information Systems, Human-Computer Interaction, Artificial Intelligence and Computer Science Applications, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include ICT in Developing Communities (18 papers), Sharing Economy and Platforms (11 papers), Innovative Human-Technology Interaction (11 papers), Digital Economy and Work Transformation (10 papers), Information Systems Theories and Implementation (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Usability and User Interface Design (7 papers) and Microfinance and Financial Inclusion (6 papers). The work is most often cited by research in Computer Science Applications (346 citations), Human-Computer Interaction (324 citations), Marketing (297 citations), Business and International Management (58 citations) and Information Systems (430 citations). Jacki O’Neill has collaborated with scholars based in India, France and United States. Frequent co-authors include David Martin, Neha Gupta, Benjamin V. Hanrahan, David Martín, Nicola J. Bidwell, Antonietta Grasso, David Bolonio, Apurv Mehra, William Thies and Claus Bossen. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), Proceedings of the ACM on Human-Computer Interaction, Artificial Intelligence and Law, IEEE Intelligent Systems and Human Studies.

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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