Joel Mackenzie
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Alistair MoffatJ. Shane CulpepperMatthias PetriAntonio MalliaTorsten SuelJohanne R. TrippasJimmy LinAndrew Trotman
- Topics
- Information Retrieval and Search Behavior (12 papers)Data Management and Algorithms (12 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringInformation Processing & ManagementACM Transactions on Information Systems
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Joel Mackenzie
31 papers receiving 223 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 137
- Information Systems 108
- Computer Vision and Pattern Recognition 83
- Signal Processing 65
- 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-authorship network of co-authors of Joel Mackenzie
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Mackenzie. A scholar is included among the top collaborators of Joel Mackenzie 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 Joel Mackenzie. Joel Mackenzie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 0 | |
| 16 | 15 | |
| 17 | 31 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 7 |
About Joel Mackenzie
Joel Mackenzie is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 32 papers that have together received 229 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (12 papers), Data Management and Algorithms (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Signal Processing (65 citations), Information Systems (108 citations) and Artificial Intelligence (137 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 IEEE Transactions on Knowledge and Data Engineering, Information Processing & Management and ACM Transactions on Information Systems.
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.