Matthew B. Hoy
- Artificial Intelligence top 5%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Information Systems and Management top 2%
- Computer Networks and Communications top 10%
- Topics
- QR Code Applications and Technologies (3 papers)Spam and Phishing Detection (2 papers)Web Data Mining and Analysis (2 papers)
- Journals
- Neurogastroenterology & MotilityJournal of the Medical Library Association JMLAMedical Reference Services Quarterly
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Matthew B. Hoy
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 407
- Information Systems 313
- Sociology and Political Science 174
- Information Systems and Management 157
- Computer Networks and Communications 130
Countries citing papers authored by Matthew B. Hoy
This map shows the geographic impact of Matthew B. Hoy'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 Matthew B. Hoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew B. Hoy more than expected).
Fields of papers citing papers by Matthew B. Hoy
This network shows the impact of papers produced by Matthew B. Hoy. 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 Matthew B. Hoy. The network helps show where Matthew B. Hoy may publish in the future.
Co-authorship network of co-authors of Matthew B. Hoy
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Hoy. A scholar is included among the top collaborators of Matthew B. Hoy 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 Matthew B. Hoy. Matthew B. Hoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 2 | |
| 3 | 35 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | Alexa, Siri, Cortana, and More: An Introduction to Voice Assistantsbreakdown → | 538 |
| 8 | 40 | |
| 9 | 43 | |
| 10 | 24 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 78 | |
| 14 | 6 | |
| 15 | 130 | |
| 16 | 15 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 18 | |
| 20 | 4 |
About Matthew B. Hoy
Matthew B. Hoy is a scholar working on Information Systems, Information Systems and Management and Computer Science Applications, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include QR Code Applications and Technologies (3 papers), Spam and Phishing Detection (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Information Systems and Management (157 citations), Health Informatics (30 citations) and Information Systems (313 citations). Matthew B. Hoy has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Allison Malcolm, Tae Hee Lee, Satish S.C. Rao, Adil E. Bharucha, S. Mark Scott and Guido Basilisco. Their work appears in journals such as Neurogastroenterology & Motility, Journal of the Medical Library Association JMLA and Medical Reference Services Quarterly.
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.