Lori McCay‐Peet
- Sociology and Political Science top 10%
- Information Systems top 5%
- Information Systems and Management top 5%
- Communication top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Elaine G. TomsE. Kevin KellowayAnabel Quan‐HaaseMounia LalmasVidhya NavalpakkamKim MartinHeather L. O’BrienRobert Villa
- Topics
- Personal Information Management and User Behavior (9 papers)Knowledge Management and Sharing (4 papers)Information Retrieval and Search Behavior (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Lori McCay‐Peet
23 papers receiving 439 citations
Peers
Comparison fields: 5 of 75
- Sociology and Political Science 140
- Information Systems 134
- Information Systems and Management 122
- Communication 91
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Lori McCay‐Peet
This map shows the geographic impact of Lori McCay‐Peet'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 Lori McCay‐Peet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori McCay‐Peet more than expected).
Fields of papers citing papers by Lori McCay‐Peet
This network shows the impact of papers produced by Lori McCay‐Peet. 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 Lori McCay‐Peet. The network helps show where Lori McCay‐Peet may publish in the future.
Co-authorship network of co-authors of Lori McCay‐Peet
This figure shows the co-authorship network connecting the top 25 collaborators of Lori McCay‐Peet. A scholar is included among the top collaborators of Lori McCay‐Peet 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 Lori McCay‐Peet. Lori McCay‐Peet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 46 | |
| 9 | 59 | |
| 10 | 83 | |
| 11 | 5 | |
| 12 | Development and assessment of the content validity of a scale to measure how well a digital environment facilitates serendipity | 7 |
| 13 | INVESTIGATING WORK-RELATED SERENDIPITY, WHAT INFLUENCES IT,AND HOW IT MAY BE FACILITATED IN DIGITAL ENVIRONMENTS | 10 |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 55 | |
| 17 | Measuring the Dimensions of Serendipity in Digital Environments. | 35 |
| 18 | 16 | |
| 19 | Proceedings of the 1st International Workshop on Encouraging Serendipity in Interactive Systems | 1 |
| 20 | 32 |
About Lori McCay‐Peet
Lori McCay‐Peet is a scholar working on Information Systems and Management, Communication and Library and Information Sciences, having authored 24 papers that have together received 463 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (9 papers), Knowledge Management and Sharing (4 papers) and Information Retrieval and Search Behavior (4 papers). The work is most often cited by research in Information Systems and Management (122 citations), Communication (91 citations) and Human-Computer Interaction (38 citations). Lori McCay‐Peet has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Elaine G. Toms, E. Kevin Kelloway, Anabel Quan‐Haase, Mounia Lalmas, Vidhya Navalpakkam, Kim Martin, Heather L. O’Brien, Robert Villa, Dagmar Kern and Kate Sherren. Their work appears in journals such as Information Processing & Management, Journal of Information Science and Big Data & Society.
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.