Jonathan Grady
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Expert finding and Q&A systems
- Computer Science Applications top 10%
Papers in
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- Web Data Mining and Analysis 3
- Information Retrieval and Search Behavior 3
- Recommender Systems and Techniques 2
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- Personal Information Management and User Behavior 4
- Co-authors
- Peter Brusilovsky (6 shared papers)Jae‐wook Ahn (4 shared papers)Daqing He (6 shared papers)Sue Yeon Syn (1 shared paper)Michael B. Spring (6 shared papers)Qi Li (2 shared papers)Vicki S. Helgeson (2 shared papers)Michael H. Antoni (3 shared papers)
- Journals
- Information Processing & Management (2 papers)Journal of Homosexuality (1 paper)Journal of Medical Internet Research (1 paper)Clinical Trials (1 paper)Cancer (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Grady
14 papers receiving 395 citations
Peers
Comparison fields: 5 of 64
- Information Systems 216
- Computer Science Applications 39
- Computer Vision and Pattern Recognition 73
- Information Systems and Management 23
- Artificial Intelligence 110
Countries citing papers authored by Jonathan Grady
This map shows the geographic impact of Jonathan Grady'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 Jonathan Grady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Grady more than expected).
Fields of papers citing papers by Jonathan Grady
This network shows the impact of papers produced by Jonathan Grady. 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 Jonathan Grady. The network helps show where Jonathan Grady may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Grady, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 154 | |
| 2 | 2016 | 99 | |
| 3 | 2008 | 52 | |
| 4 | 2007 | 27 | |
| 5 | 2012 | 25 | |
| 6 | 2010 | 21 | |
| 7 | 2011 | 19 | |
| 8 | 2006 | 12 | |
| 9 | 2012 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2007 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2007 | 1 |
About Jonathan Grady
Jonathan Grady is a scholar working on Information Systems, Information Systems and Management, Oncology, Artificial Intelligence and Applied Psychology, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (4 papers), Web Data Mining and Analysis (3 papers), Cancer survivorship and care (3 papers), Information Retrieval and Search Behavior (3 papers), Recommender Systems and Techniques (2 papers), Data Quality and Management (2 papers), Digital Mental Health Interventions (2 papers) and Critical Race Theory in Education (1 paper). The work is most often cited by research in Information Systems (216 citations), Computer Science Applications (39 citations), Computer Vision and Pattern Recognition (73 citations), Information Systems and Management (23 citations) and Artificial Intelligence (110 citations). Jonathan Grady has collaborated with scholars based in United States. Frequent co-authors include Peter Brusilovsky, Jae‐wook Ahn, Daqing He, Sue Yeon Syn, Michael B. Spring, Qi Li, Vicki S. Helgeson, Michael H. Antoni, Mary Amanda Dew and Lisa H. Butterfield. Their work appears in journals such as Information Processing & Management, Journal of Homosexuality, Journal of Medical Internet Research, Clinical Trials and Cancer.
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.