Harold W. Webb

54 total papers · 842 total citations
11 papers, 359 citations indexed

About

Harold W. Webb is a scholar working on Information Systems, Information Systems and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Harold W. Webb has authored 11 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Information Systems and Management and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Harold W. Webb's work include Technology Adoption and User Behaviour (4 papers), Customer Service Quality and Loyalty (3 papers) and Information Systems Education and Curriculum Development (2 papers). Harold W. Webb is often cited by papers focused on Technology Adoption and User Behaviour (4 papers), Customer Service Quality and Loyalty (3 papers) and Information Systems Education and Curriculum Development (2 papers). Harold W. Webb collaborates with scholars based in United States and Latvia. Harold W. Webb's co-authors include Grandon Gill, Monica J. Garfield, Natasha F. Veltri, Cynthia LeRouge and Klara Nelson and has published in prestigious journals such as Communications of the ACM, Journal of the Association for Information Systems and Journal of Enterprise Information Management.

In The Last Decade

Harold W. Webb

11 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Harold W. Webb 132 95 93 92 76 11 359
John A. Hoxmeier 90 0.7× 67 0.7× 107 1.2× 31 0.3× 73 1.0× 9 368
Eyong B. Kim 72 0.5× 100 1.1× 75 0.8× 47 0.5× 89 1.2× 9 300
Margaret T. O’Hara 59 0.4× 55 0.6× 50 0.5× 70 0.8× 32 0.4× 13 308
Elaine Seeman 57 0.4× 41 0.4× 52 0.6× 71 0.8× 32 0.4× 14 313
Sharath Sasidharan 162 1.2× 47 0.5× 86 0.9× 44 0.5× 111 1.5× 22 398
Kakoli Bandyopadhyay 142 1.1× 91 1.0× 48 0.5× 33 0.4× 98 1.3× 21 384
Brett J. L. Landry 133 1.0× 79 0.8× 110 1.2× 22 0.2× 77 1.0× 21 322
Raymond D. Frost 102 0.8× 55 0.6× 46 0.5× 75 0.8× 145 1.9× 24 346
Jiinpo Wu 185 1.4× 57 0.6× 112 1.2× 31 0.3× 113 1.5× 11 356
Nilay Yajnik 146 1.1× 29 0.3× 60 0.6× 37 0.4× 93 1.2× 9 346

Countries citing papers authored by Harold W. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Harold W. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold W. Webb. 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 Harold W. Webb. The network helps show where Harold W. Webb may publish in the future.

Co-authorship network of co-authors of Harold W. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Harold W. Webb. A scholar is included among the top collaborators of Harold W. Webb 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 Harold W. Webb. Harold W. Webb 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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