Dawn G. Gregg

71 total papers · 2.3k total citations
49 papers, 1.5k citations indexed

About

Dawn G. Gregg is a scholar working on Sociology and Political Science, Information Systems and Information Systems and Management. According to data from OpenAlex, Dawn G. Gregg has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 13 papers in Information Systems and 13 papers in Information Systems and Management. Recurrent topics in Dawn G. Gregg's work include Technology Adoption and User Behaviour (13 papers), Digital Marketing and Social Media (13 papers) and Knowledge Management and Sharing (9 papers). Dawn G. Gregg is often cited by papers focused on Technology Adoption and User Behaviour (13 papers), Digital Marketing and Social Media (13 papers) and Knowledge Management and Sharing (9 papers). Dawn G. Gregg collaborates with scholars based in United States, Jordan and Hong Kong. Dawn G. Gregg's co-authors include Steven Walczak, Judy E. Scott, Ronald Ramírez, Jahangir Karimi, Mohammad Alsharo, Navid Aghakhani, Onook Oh, Ajay Vinzé, Uday Kulkarni and Toan C. Ong and has published in prestigious journals such as Communications of the ACM, MIS Quarterly and Computers & Education.

In The Last Decade

Dawn G. Gregg

48 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Dawn G. Gregg 622 358 324 282 272 49 1.5k
Heng‐Li Yang 556 0.9× 446 1.2× 187 0.6× 255 0.9× 431 1.6× 76 1.6k
Jae‐Hyeon Ahn 673 1.1× 441 1.2× 583 1.8× 226 0.8× 231 0.8× 67 1.9k
Qinghua Zhu 841 1.4× 446 1.2× 236 0.7× 219 0.8× 341 1.3× 64 2.0k
Loo Geok Pee 559 0.9× 441 1.2× 256 0.8× 259 0.9× 421 1.5× 61 1.9k
Vincent Cho 803 1.3× 549 1.5× 298 0.9× 210 0.7× 189 0.7× 77 2.0k
Babita Gupta 519 0.8× 540 1.5× 183 0.6× 323 1.1× 264 1.0× 29 2.0k
Glenn J. Browne 708 1.1× 608 1.7× 296 0.9× 464 1.6× 181 0.7× 53 2.0k
Norita Ahmad 644 1.0× 446 1.2× 246 0.8× 172 0.6× 202 0.7× 59 1.5k
Yung-Ming Li 833 1.3× 460 1.3× 395 1.2× 448 1.6× 155 0.6× 67 1.8k
Angelika Dimoka 933 1.5× 564 1.6× 622 1.9× 156 0.6× 195 0.7× 49 2.1k

Countries citing papers authored by Dawn G. Gregg

Since Specialization
Citations

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

Fields of papers citing papers by Dawn G. Gregg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn G. Gregg. 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 Dawn G. Gregg. The network helps show where Dawn G. Gregg may publish in the future.

Co-authorship network of co-authors of Dawn G. Gregg

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn G. Gregg. A scholar is included among the top collaborators of Dawn G. Gregg 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 Dawn G. Gregg. Dawn G. Gregg 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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