Joyce Cahoon
Impact in
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- Cloud Computing and Resource Management
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 4
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- Advanced Database Systems and Queries 2
- Distributed systems and fault tolerance 1
- Co-authors
- Avrilia Floratou (2 shared papers)Jignesh M. Patel (2 shared papers)Yunjia Zhang (1 shared paper)Andreas Müller (1 shared paper)Subru Krishnan (2 shared papers)Yiwen Zhu (4 shared papers)Alyson G. Wilson (1 shared paper)Andreas Mueller (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Quality and Reliability Engineering International (1 paper)Veterinary and Comparative Oncology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Joyce Cahoon
9 papers receiving 31 citations
Peers
Comparison fields: 5 of 18
- Computer Graphics and Computer-Aided Design 2
- Information Systems 11
- Artificial Intelligence 15
- Computer Networks and Communications 8
- Management Science and Operations Research 4
Countries citing papers authored by Joyce Cahoon
This map shows the geographic impact of Joyce Cahoon'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 Joyce Cahoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joyce Cahoon more than expected).
Fields of papers citing papers by Joyce Cahoon
This network shows the impact of papers produced by Joyce Cahoon. 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 Joyce Cahoon. The network helps show where Joyce Cahoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Joyce Cahoon, 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 | 2024 | 12 | |
| 2 | 2023 | 6 | |
| 3 | 2020 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2022 | 1 | |
| 10 | Possibility Measures for Valid Statistical Inference Based on Censored Data | 2019 | 0 |
| 11 | 2025 | 0 |
About Joyce Cahoon
Joyce Cahoon is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Condensed Matter Physics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 31 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Advanced Database Systems and Queries (2 papers), Data Management and Algorithms (1 paper), Reliability and Maintenance Optimization (1 paper), Cloud Computing and Resource Management (1 paper), Distributed systems and fault tolerance (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2 citations), Information Systems (11 citations), Artificial Intelligence (15 citations), Computer Networks and Communications (8 citations) and Management Science and Operations Research (4 citations). Joyce Cahoon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Avrilia Floratou, Jignesh M. Patel, Yunjia Zhang, Andreas Müller, Subru Krishnan, Yiwen Zhu, Alyson G. Wilson, Andreas Mueller, Mirco Milletarì and Jing Tian. Their work appears in journals such as Proceedings of the VLDB Endowment, Quality and Reliability Engineering International and Veterinary and Comparative Oncology.
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.