Margareta Ackerman

2.0k citations
37 papers · 598 · h-index 13

Impact in

Papers in

Margareta Ackerman

34 papers receiving 569 citations

Peers

Margareta Ackerman
Comparison fields: 5 of 139
  • Signal Processing 132
  • Artificial Intelligence 302
  • Statistical and Nonlinear Physics 100
  • Computer Vision and Pattern Recognition 106
  • Health Informatics 6
Replace Sebastian Tschiatschek with:
Sebastian Tschiatschek Austria
Graham Wills United States
Stef van den Elzen Netherlands
Alneu de Andrade Lopes Brazil
Daniel Defays Belgium
Mieczysław A. Kłopotek Poland
Mikio L. Braun Germany
Gilles Trédan France
Soumi Dutta India
Narjes Nikzad-Khasmakhi Iran
Margareta Ackerman relative to Sebastian Tschiatschek Austria Sebastian Tschiatschek's profile →
Citations per field
00.5×2×3.4×
Sebastian Tschiatschek · 1×
Citations per year

Countries citing papers authored by Margareta Ackerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018157
2
Measures of Clustering Quality: A Working Set of Axioms for Clustering
200888
3
Clusterability: A Theoretical Study
200953
4
Towards Property-Based Classification of Clustering Paradigms
201031
5
A characterization of linkage-based hierarchical clustering
201630
6
Characterization of Linkage-based Clustering
201026
7
Human Cluster Evaluation and Formal Quality Measures: A Comparative Study
201225
8 201721
9 201919
10 201316
11 200913
12 202213
13 202113
14 201111
15
The Authorship Dilemma: Alphabetical or Contribution?
201610
16 201410
17 20168
18 20188
19
Interactive Augmented Reality for Dance.
20166
20 20076

About Margareta Ackerman

Margareta Ackerman is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (15 papers), Data Management and Algorithms (11 papers), Complex Network Analysis Techniques (7 papers), Data Mining Algorithms and Applications (4 papers), Algorithms and Data Compression (3 papers), Rough Sets and Fuzzy Logic (3 papers), Music Therapy and Health (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Signal Processing (132 citations), Artificial Intelligence (302 citations), Statistical and Nonlinear Physics (100 citations), Computer Vision and Pattern Recognition (106 citations) and Health Informatics (6 citations). Margareta Ackerman has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Shai Ben-David, Naomi C. Brownstein, David Loker, Simina Brânzei, Jeffrey Shallit, Joshua M. Lewis, Virginia R. de, Sanjoy Dasgupta, Erkki Mäkinen and Ricardo Baeza‐Yates. Their work appears in journals such as Pattern Recognition, Autonomous Agents and Multi-Agent Systems, AI & Society, Data in Brief 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.

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