Margareta Ackerman
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
- Topic Modeling
Papers in
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- Advanced Clustering Algorithms Research 14
- Bayesian Methods and Mixture Models 3
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- Data Management and Algorithms 10
- Co-authors
- Shai Ben-David (9 shared papers)Naomi C. Brownstein (2 shared papers)David Loker (9 shared papers)Virginia R. de (1 shared paper)Joshua M. Lewis (1 shared paper)Simina Brânzei (3 shared papers)Jeffrey Shallit (1 shared paper)Sanjoy Dasgupta (1 shared paper)
- Journals
- Pattern Recognition (2 papers)Autonomous Agents and Multi-Agent Systems (1 paper)Theoretical Computer Science (1 paper)Cognitive Systems Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
Margareta Ackerman
26 papers receiving 460 citations
Peers
Comparison fields: 5 of 132
- Signal Processing 102
- Artificial Intelligence 255
- Statistical and Nonlinear Physics 83
- Computer Vision and Pattern Recognition 79
- Health Informatics 5
Countries citing papers authored by Margareta Ackerman
This map shows the geographic impact of Margareta Ackerman'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 Margareta Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margareta Ackerman more than expected).
Fields of papers citing papers by Margareta Ackerman
This network shows the impact of papers produced by Margareta Ackerman. 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 Margareta Ackerman. The network helps show where Margareta Ackerman may publish in the future.
Co-authors
The 24 scholars most cited alongside Margareta Ackerman, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | Measures of Clustering Quality: A Working Set of Axioms for Clustering | 2008 | 76 |
| 3 | Clusterability: A Theoretical Study | 2009 | 45 |
| 4 | A characterization of linkage-based hierarchical clustering | 2016 | 28 |
| 5 | Towards Property-Based Classification of Clustering Paradigms | 2010 | 24 |
| 6 | Human Cluster Evaluation and Formal Quality Measures: A Comparative Study | 2012 | 24 |
| 7 | Characterization of Linkage-based Clustering | 2010 | 22 |
| 8 | 2019 | 18 | |
| 9 | 2013 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2009 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 4 | |
| 18 | Interactive Augmented Reality for Dance. | 2016 | 3 |
| 19 | 2014 | 3 | |
| 20 | Co-Creative Conceptual Art. | 2018 | 2 |
About Margareta Ackerman
Margareta Ackerman is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, Information Systems and Computational Theory and Mathematics, having authored 29 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (14 papers), Data Management and Algorithms (10 papers), Complex Network Analysis Techniques (7 papers), Data Mining Algorithms and Applications (4 papers), Bayesian Methods and Mixture Models (3 papers), Genomics and Phylogenetic Studies (2 papers), Human Motion and Animation (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Signal Processing (102 citations), Artificial Intelligence (255 citations), Statistical and Nonlinear Physics (83 citations), Computer Vision and Pattern Recognition (79 citations) and Health Informatics (5 citations). Margareta Ackerman has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Shai Ben-David, Naomi C. Brownstein, David Loker, Virginia R. de, Joshua M. Lewis, Simina Brânzei, Jeffrey Shallit, Sanjoy Dasgupta, Alejandro López-Ortíz and Ricardo Baeza‐Yates. Their work appears in journals such as Pattern Recognition, Autonomous Agents and Multi-Agent Systems, Theoretical Computer Science, Cognitive Systems Research and Journal of Machine Learning Research.
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.