Joel Mackenzie
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Information Systems top 5%
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 6
- Algorithms and Data Compression 6
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- Information Retrieval and Search Behavior 12
- Co-authors
- Alistair Moffat (15 shared papers)J. Shane Culpepper (8 shared papers)Matthias Petri (8 shared papers)Antonio Mallia (6 shared papers)Torsten Suel (2 shared papers)Johanne R. Trippas (3 shared papers)Jimmy Lin (3 shared papers)Andrew Trotman (2 shared papers)
- Journals
- Information Retrieval (1 paper)ACM Transactions on Information Systems (1 paper)Information Processing & Management (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ISTI Open Portal (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Joel Mackenzie
31 papers receiving 223 citations
Peers
Comparison fields: 5 of 31
- Signal Processing 65
- Information Systems 108
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 83
- Computer Networks and Communications 46
Countries citing papers authored by Joel Mackenzie
This map shows the geographic impact of Joel Mackenzie'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 Joel Mackenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Mackenzie more than expected).
Fields of papers citing papers by Joel Mackenzie
This network shows the impact of papers produced by Joel Mackenzie. 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 Joel Mackenzie. The network helps show where Joel Mackenzie may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Mackenzie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 31 | |
| 2 | 2017 | 29 | |
| 3 | 2019 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | Towards Efficient and Effective Query Variant Generation | 2018 | 5 |
| 16 | 2023 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2022 | 3 |
About Joel Mackenzie
Joel Mackenzie is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 32 papers that have together received 229 indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Information Retrieval and Search Behavior (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Database Systems and Queries (6 papers), Topic Modeling (6 papers), Algorithms and Data Compression (6 papers), Data Quality and Management (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (65 citations), Information Systems (108 citations), Artificial Intelligence (137 citations), Computer Vision and Pattern Recognition (83 citations) and Computer Networks and Communications (46 citations). Joel Mackenzie has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Alistair Moffat, J. Shane Culpepper, Matthias Petri, Antonio Mallia, Torsten Suel, Johanne R. Trippas, Jimmy Lin, Andrew Trotman, Leif Azzopardi and Matt Crane. Their work appears in journals such as Information Retrieval, ACM Transactions on Information Systems, Information Processing & Management, IEEE Transactions on Knowledge and Data Engineering and ISTI Open Portal.
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.