Matt Crane
Impact in
- Information Systems top 10%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
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- Web Data Mining and Analysis 8
- Information Retrieval and Search Behavior 8
- Expert finding and Q&A systems 2
-
- Algorithms and Data Compression 5
- Semantic Web and Ontologies 2
- Co-authors
- Andrew Trotman (10 shared papers)Jimmy Lin (6 shared papers)Xiangfei Jia (2 shared papers)Jaime Arguello (1 shared paper)Fernando Díaz (1 shared paper)Joel Mackenzie (1 shared paper)J. Shane Culpepper (1 shared paper)Richard O’Keefe (2 shared papers)
- Journals
- The Journals of Gerontology Series A (1 paper)Software Practice and Experience (1 paper)Transactions of the Association for Computational Linguistics (1 paper)ACM SIGIR Forum (1 paper)PubMed (1 paper)
- Partner nations
- New ZealandCanadaIreland
In The Last Decade
Matt Crane
13 papers receiving 197 citations
Peers
Comparison fields: 5 of 47
- Aging 11
- Information Systems 104
- Signal Processing 39
- Artificial Intelligence 109
- Computer Networks and Communications 66
Countries citing papers authored by Matt Crane
This map shows the geographic impact of Matt Crane'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 Matt Crane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Crane more than expected).
Fields of papers citing papers by Matt Crane
This network shows the impact of papers produced by Matt Crane. 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 Matt Crane. The network helps show where Matt Crane may publish in the future.
Co-authors
The 18 scholars most cited alongside Matt Crane, 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 | 2018 | 42 | |
| 2 | 2016 | 34 | |
| 3 | Towards an Efficient and Effective Search Engine | 2012 | 30 |
| 4 | 2017 | 29 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 14 | |
| 7 | 2013 | 14 | |
| 8 | 2017 | 9 | |
| 9 | 2019 | 5 | |
| 10 | 2012 | 4 | |
| 11 | 2013 | 3 | |
| 12 | Is "junk science" finally on the way out? | 1996 | 2 |
| 13 | 2017 | 1 | |
| 14 | 2013 | 0 | |
| 15 | 2016 | 0 | |
| 16 | 2015 | 0 | |
| 17 | 2015 | 0 |
About Matt Crane
Matt Crane is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 17 papers that have together received 208 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Information Retrieval and Search Behavior (8 papers), Advanced Database Systems and Queries (5 papers), Algorithms and Data Compression (5 papers), Data Management and Algorithms (4 papers), Expert finding and Q&A systems (2 papers), Semantic Web and Ontologies (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Aging (11 citations), Information Systems (104 citations), Signal Processing (39 citations), Artificial Intelligence (109 citations) and Computer Networks and Communications (66 citations). Matt Crane has collaborated with scholars based in New Zealand, Canada and Ireland. Frequent co-authors include Andrew Trotman, Jimmy Lin, Xiangfei Jia, Jaime Arguello, Fernando Díaz, Joel Mackenzie, J. Shane Culpepper, Richard O’Keefe, Nikolay Burnaevskiy and Matt Kaeberlein. Their work appears in journals such as The Journals of Gerontology Series A, Software Practice and Experience, Transactions of the Association for Computational Linguistics, ACM SIGIR Forum and PubMed.
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.