Lori McCay‐Peet

47 total papers · 1.0k total citations
24 papers, 460 citations indexed

About

Lori McCay‐Peet is a scholar working on Information Systems, Information Systems and Management and Communication. According to data from OpenAlex, Lori McCay‐Peet has authored 24 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Information Systems and Management and 7 papers in Communication. Recurrent topics in Lori McCay‐Peet's work include Personal Information Management and User Behavior (9 papers), Knowledge Management and Sharing (4 papers) and Information Retrieval and Search Behavior (4 papers). Lori McCay‐Peet is often cited by papers focused on Personal Information Management and User Behavior (9 papers), Knowledge Management and Sharing (4 papers) and Information Retrieval and Search Behavior (4 papers). Lori McCay‐Peet collaborates with scholars based in Canada, United Kingdom and United States. Lori McCay‐Peet's 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 and has published in prestigious journals such as Information Processing & Management, Journal of Information Science and Big Data & Society.

In The Last Decade

Lori McCay‐Peet

23 papers receiving 435 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lori McCay‐Peet	140	133	119	91	58	24	460
Shu Z. Schiller	153 1.1×	58 0.4×	83 0.7×	118 1.3×	23 0.4×	33	505
Ying‐Hsang Liu	95 0.7×	148 1.1×	57 0.5×	73 0.8×	35 0.6×	57	444
Iris Xie	79 0.6×	257 1.9×	98 0.8×	90 1.0×	25 0.4×	48	523
Elin K. Jacob	94 0.7×	177 1.3×	43 0.4×	60 0.7×	45 0.8×	32	526
William D. Haseman	81 0.6×	92 0.7×	95 0.8×	65 0.7×	13 0.2×	35	476
Elizabeth S. Veinott	101 0.7×	43 0.3×	54 0.5×	100 1.1×	30 0.5×	24	418
Maria R. Lee	138 1.0×	67 0.5×	108 0.9×	130 1.4×	12 0.2×	26	489
Matthias Trier	178 1.3×	54 0.4×	92 0.8×	192 2.1×	32 0.6×	39	451
Qiqi Jiang	179 1.3×	75 0.6×	89 0.7×	68 0.7×	22 0.4×	34	459
Peter Morville	59 0.4×	176 1.3×	63 0.5×	37 0.4×	29 0.5×	13	406

Countries citing papers authored by Lori McCay‐Peet

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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