Aaron Ceglar
Impact in
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
-
- Imbalanced Data Classification Techniques 3
- Topic Modeling 2
- Data Stream Mining Techniques 1
- Semantic Web and Ontologies 1
-
- Data Mining Algorithms and Applications 6
- Co-authors
- John F. Roddick (9 shared papers)Myra Spiliopoulou (1 shared paper)David Powers (3 shared papers)Paul Calder (2 shared papers)Tim Pattison (3 shared papers)Richard Leibbrandt (2 shared papers)Marcus Butavicius (2 shared papers)Carl Mooney (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)Knowledge and Information Systems (1 paper)International Journal of Human-Computer Interaction (1 paper)International Journal of Business Intelligence and Data Mining (1 paper)Flinders Academic Commons (Flinders University) (2 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Aaron Ceglar
13 papers receiving 194 citations
Peers
Comparison fields: 5 of 43
- Information Systems 168
- Signal Processing 75
- Computational Theory and Mathematics 101
- Artificial Intelligence 101
- Computer Science Applications 11
Countries citing papers authored by Aaron Ceglar
This map shows the geographic impact of Aaron Ceglar'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 Aaron Ceglar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Ceglar more than expected).
Fields of papers citing papers by Aaron Ceglar
This network shows the impact of papers produced by Aaron Ceglar. 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 Aaron Ceglar. The network helps show where Aaron Ceglar may publish in the future.
Co-authors
The 12 scholars most cited alongside Aaron Ceglar, 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 | 2006 | 171 | |
| 2 | 2008 | 20 | |
| 3 | CURIO: a fast outlier and outlier cluster detection algorithm for large datasets | 2007 | 7 |
| 4 | 2004 | 7 | |
| 5 | Incremental Association Mining using a Closed-Set Lattice | 2008 | 4 |
| 6 | 2007 | 3 | |
| 7 | Interaction Challenges for the Dynamic Construction of Partially-Ordered Sets. | 2014 | 2 |
| 8 | 2018 | 2 | |
| 9 | Discovering itemset interactions | 2009 | 1 |
| 10 | 2014 | 1 | |
| 11 | From rule visualisation to guided knowledge discovery | 2003 | 1 |
| 12 | 2019 | 1 | |
| 13 | 2013 | 1 | |
| 14 | Mining Medical Administrative Data --The PKB Suite | 2010 | 0 |
About Aaron Ceglar
Aaron Ceglar is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Signal Processing and Computer Networks and Communications, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (3 papers), Imbalanced Data Classification Techniques (3 papers), Topic Modeling (2 papers), Data Quality and Management (2 papers), Data Stream Mining Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Information Systems (168 citations), Signal Processing (75 citations), Computational Theory and Mathematics (101 citations), Artificial Intelligence (101 citations) and Computer Science Applications (11 citations). Aaron Ceglar has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include John F. Roddick, Myra Spiliopoulou, David Powers, Paul Calder, Tim Pattison, Richard Leibbrandt, Marcus Butavicius, Carl Mooney, Ping Liang and Kathryn Parsons. Their work appears in journals such as ACM Computing Surveys, Knowledge and Information Systems, International Journal of Human-Computer Interaction, International Journal of Business Intelligence and Data Mining and Flinders Academic Commons (Flinders University).
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.