Aaron Ceglar

22 papers receiving 291 citations

Peers

Aaron Ceglar
Comparison fields: 5 of 26
  • Information Systems 151
  • Computer Science Applications 9
  • Computational Theory and Mathematics 19
  • Artificial Intelligence 25
  • Health Information Management 3
Replace Farhad Mavaddat with:
Farhad Mavaddat Canada
Ruizhi Gao United States
Jan Hendrik Hausmann Germany
Martin R. Woodward United Kingdom
Francisco Servant United States
Michalis Famelis Canada
Alessandro Bianchi Italy
Guy Tremblay Canada
Robert Chatley United Kingdom
Robert V. Binder France
Aaron Ceglar relative to Farhad Mavaddat Canada Farhad Mavaddat's profile →
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Citations per year

Countries citing papers authored by Aaron Ceglar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

Border = papers with Aaron Ceglar Line = papers co-authored together Aaron Ceglar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006228
2 200823
3
CURIO: a fast outlier and outlier cluster detection algorithm for large datasets
200711
4 20049
5 20117
6 20065
7
Incremental Association Mining using a Closed-Set Lattice
20085
8
Interaction Challenges for the Dynamic Construction of Partially-Ordered Sets
20155
9 20074
10 20144
11
A new approach to collaborative frameworks using shared objects
20013
12 20022
13 20072
14 20182
15
Efficient Formal Concept Analysis through Recursive Context Partitioning.
20182
16 20192
17
From rule visualisation to guided knowledge discovery
20031
18
Towards active conceptual modelling for sudden events
20071
19
Discovering itemset interactions
20091
20 20131

About Aaron Ceglar

Aaron Ceglar is a scholar working on Information Systems, Computational Theory and Mathematics, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 23 papers that have together received 320 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (4 papers), Anomaly Detection Techniques and Applications (1 paper) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Information Systems (151 citations), Computer Science Applications (9 citations), Computational Theory and Mathematics (19 citations), Artificial Intelligence (25 citations) and Health Information Management (3 citations). Aaron Ceglar has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include John F. Roddick, Myra Spiliopoulou, Paul Calder, Tim R. Pattison, David M W Powers, Kathryn Parsons, Agata McCormac, Richard E. Leibbrandt, Carl H. Mooney and Simon Dennis. Their work appears in journals such as International Journal of Human-Computer Interaction, Knowledge and Information Systems, ACM Computing Surveys, Lecture notes in computer science and International Journal of Business Intelligence and Data Mining.

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.

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