Margareta Ackerman

2.0k total citations
29 papers, 486 citations indexed

About

Margareta Ackerman is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Margareta Ackerman has authored 29 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Signal Processing and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Margareta Ackerman's work include Advanced Clustering Algorithms Research (14 papers), Data Management and Algorithms (10 papers) and Complex Network Analysis Techniques (7 papers). Margareta Ackerman is often cited by papers focused on Advanced Clustering Algorithms Research (14 papers), Data Management and Algorithms (10 papers) and Complex Network Analysis Techniques (7 papers). Margareta Ackerman collaborates with scholars based in United States, Canada and Denmark. Margareta Ackerman's co-authors include Shai Ben-David, Naomi C. Brownstein, David Loker, Virginia R. de, Simina Brânzei, Joshua M. Lewis, Sanjoy Dasgupta, Jeffrey Shallit, Ricardo Baeza‐Yates and Alejandro López-Ortíz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Margareta Ackerman

26 papers receiving 460 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Margareta Ackerman United States	11	255	102	83	79	58	29	486
Lucas Vendramin Brazil	4	248 1.0×	77 0.8×	46 0.6×	104 1.3×	70 1.2×	4	368
Barry Drake United States	12	174 0.7×	108 1.1×	58 0.7×	132 1.7×	37 0.6×	26	576
Jacob Kogan United States	8	251 1.0×	52 0.5×	41 0.5×	69 0.9×	106 1.8×	22	500
Ming Dong United States	12	275 1.1×	48 0.5×	32 0.4×	144 1.8×	73 1.3×	38	494
Daniel Defays Belgium	5	225 0.9×	95 0.9×	47 0.6×	116 1.5×	67 1.2×	8	537
Philip Kegelmeyer United States	6	282 1.1×	42 0.4×	34 0.4×	43 0.5×	122 2.1×	9	527
Jinchao Ji China	12	272 1.1×	96 0.9×	36 0.4×	123 1.6×	105 1.8×	23	439
Marie Cottrell France	15	399 1.6×	104 1.0×	25 0.3×	161 2.0×	28 0.5×	42	662
Alneu de Andrade Lopes Brazil	16	419 1.6×	70 0.7×	178 2.1×	199 2.5×	117 2.0×	72	808
Lilian Berton Brazil	13	379 1.5×	32 0.3×	88 1.1×	90 1.1×	79 1.4×	51	682

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-authorship network of co-authors of Margareta Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of Margareta Ackerman. A scholar is included among the top collaborators of Margareta Ackerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margareta Ackerman. Margareta Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ackerman, Margareta, et al.. (2025). What does genius look like? Investigating brilliance bias in AI-generated images. AI & Society.

Ackerman, Margareta, Shai Ben-David, Simina Brânzei, & David Loker. (2021). Weighted Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 858–863. 2 indexed citations

Ackerman, Margareta, et al.. (2020). EMILY: An Emily Dickinson Machine.. ICCC. 243–246. 1 indexed citations

Goldstein, Rachel, et al.. (2019). MindMusic: Brain-Controlled Musical Improvisation. Scholar Commons (Santa Clara University). 282–285.

Brownstein, Naomi C., et al.. (2019). Descriptive statistics and visualization of data from the R datasets package with implications for clusterability. SHILAP Revista de lepidopterología. 25. 104004–104004. 18 indexed citations

Morgan, James, et al.. (2018). Co-Creative Conceptual Art.. ICCC. 1–8. 2 indexed citations

Ackerman, Margareta, et al.. (2018). To cluster, or not to cluster: An analysis of clusterability methods. Pattern Recognition. 88. 13–26. 148 indexed citations

Ackerman, Margareta & Shai Ben-David. (2016). A characterization of linkage-based hierarchical clustering. Journal of Machine Learning Research. 17(1). 8182–8198. 28 indexed citations

Bach, J., et al.. (2016). Interactive Augmented Reality for Dance.. ICCC. 396–403. 3 indexed citations

10.

Ackerman, Margareta & Simina Brânzei. (2016). The authorship dilemma: alphabetical or contribution?. Autonomous Agents and Multi-Agent Systems. 31(5). 1077–1093. 8 indexed citations

11.

Ackerman, Margareta, et al.. (2016). Foundations of Perturbation Robust Clustering. 1089–1094. 4 indexed citations

12.

Ackerman, Margareta & Sanjoy Dasgupta. (2014). Incremental Clustering: The Case for Extra Clusters. arXiv (Cornell University). 27. 307–315. 9 indexed citations

13.

Ackerman, Margareta, Daniel G. Brown, & David Loker. (2014). Effects of rooting via out-groups on in-group topology in phylogeny. International Journal of Bioinformatics Research and Applications. 10(4/5). 426–426. 3 indexed citations

14.

Ackerman, Margareta & Shai Ben-David. (2011). Discerning linkage-based algorithms among hierarchical clustering methods. International Joint Conference on Artificial Intelligence. 1140–1145. 9 indexed citations

15.

Ackerman, Margareta, Shai Ben-David, & David Loker. (2010). Characterization of Linkage-based Clustering. Conference on Learning Theory. 270–281. 22 indexed citations

16.

Ackerman, Margareta, Shai Ben-David, & David Loker. (2010). Towards Property-Based Classification of Clustering Paradigms. Neural Information Processing Systems. 23. 10–18. 24 indexed citations

17.

Ackerman, Margareta & Shai Ben-David. (2009). Clusterability: A Theoretical Study. International Conference on Artificial Intelligence and Statistics. 1–8. 45 indexed citations

18.

Ackerman, Margareta & Jeffrey Shallit. (2009). Efficient enumeration of words in regular languages. Theoretical Computer Science. 410(37). 3461–3470. 10 indexed citations

19.

Ben-David, Shai & Margareta Ackerman. (2008). Measures of Clustering Quality: A Working Set of Axioms for Clustering. Neural Information Processing Systems. 21. 121–128. 76 indexed citations

20.

Ackerman, Margareta & John R. Clarke. (1984). An Automated, Noninvasive Method for Measuring Chest-Wall Motion during High-Frequency Oscillation.. PubMed Central. 722–726. 1 indexed citations

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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