Edward J. Garrity

42 total papers · 759 total citations
26 papers, 553 citations indexed

About

Edward J. Garrity is a scholar working on Sociology and Political Science, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Edward J. Garrity has authored 26 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 6 papers in Artificial Intelligence and 4 papers in Management Information Systems. Recurrent topics in Edward J. Garrity's work include Digital Marketing and Social Media (5 papers), Marine and fisheries research (3 papers) and Big Data and Business Intelligence (3 papers). Edward J. Garrity is often cited by papers focused on Digital Marketing and Social Media (5 papers), Marine and fisheries research (3 papers) and Big Data and Business Intelligence (3 papers). Edward J. Garrity collaborates with scholars based in United States, South Korea and Latvia. Edward J. Garrity's co-authors include G. Lawrence Sanders, Yong Jin Kim, Junghoon Moon, Robert P. Cerveny, Seung Kyoon Shin, Janice C. Sipior, H. Raghav Rao, R. Sridhar and Linda Volonino and has published in prestigious journals such as Expert Systems with Applications, Sustainability and Journal of Management Information Systems.

In The Last Decade

Edward J. Garrity

23 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Edward J. Garrity 231 187 135 90 70 26 553
Camille Grangé 230 1.0× 255 1.4× 128 0.9× 52 0.6× 66 0.9× 27 572
Ramakrishna Ayyagari 179 0.8× 245 1.3× 104 0.8× 107 1.2× 53 0.8× 20 543
Tor J. Larsen 325 1.4× 212 1.1× 141 1.0× 70 0.8× 78 1.1× 21 601
Ming-Te Lu 202 0.9× 144 0.8× 139 1.0× 80 0.9× 101 1.4× 23 524
Nor Zairah Ab. Rahim 278 1.2× 244 1.3× 77 0.6× 80 0.9× 76 1.1× 48 549
Helen Kelley 204 0.9× 185 1.0× 82 0.6× 93 1.0× 50 0.7× 18 620
Richard W. Scamell 264 1.1× 185 1.0× 157 1.2× 77 0.9× 126 1.8× 29 660
Robert P. Cerveny 133 0.6× 136 0.7× 104 0.8× 169 1.9× 76 1.1× 30 551
Farzana Parveen Tajudeen 170 0.7× 214 1.1× 73 0.5× 49 0.5× 71 1.0× 32 622
Seung Kyoon Shin 146 0.6× 124 0.7× 107 0.8× 79 0.9× 44 0.6× 26 545

Countries citing papers authored by Edward J. Garrity

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Garrity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Garrity. 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 Edward J. Garrity. The network helps show where Edward J. Garrity may publish in the future.

Co-authorship network of co-authors of Edward J. Garrity

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Garrity. A scholar is included among the top collaborators of Edward J. Garrity 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 Edward J. Garrity. Edward J. Garrity 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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