Michael Hahsler

72 papers receiving 2.4k citations

Michael Hahsler's Hit Papers

dbscan: Fast Density-Based Clustering with R 2019 · 473 citations
4730+2+4Years since publication100200300400

Peers

Michael Hahsler
Comparison fields: 5 of 200
  • Signal Processing 305
  • Marketing 181
  • Information Systems 421
  • Artificial Intelligence 588
  • Transportation 91
Replace S. C. Sharma with:
S. C. Sharma India
Dan Steinberg United States
Antony Unwin Germany
Paolo Giudici Italy
Gordon V. Kass South Africa
Hossein Hassani Iran
Vassilios Assimakopoulos Greece
Eric H. Grosse Germany
Steven L. Scott United States
Stan Lipovetsky United States
Michael Hahsler relative to S. C. Sharma India S. C. Sharma's profile →
Citations per field
00.5×1.5×1.8×
S. C. Sharma · 1×
Citations per year

Countries citing papers authored by Michael Hahsler

Since Specialization
Citations

This map shows the geographic impact of Michael Hahsler'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 Michael Hahsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hahsler more than expected).

Fields of papers citing papers by Michael Hahsler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Hahsler. 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 Michael Hahsler. The network helps show where Michael Hahsler may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Hahsler, 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 Michael Hahsler Line = papers co-authored together Michael Hahsler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
dbscan: Fast Density-Based Clustering with R
Hit paper breakdown →
2019473
2 2005353
3
A REVIEW OF METHODS FOR MEASURING WILLINGNESS-TO-PAY
2008349
4 2008242
5 2016121
6
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
2011100
7 2007100
8 201663
9 201648
10 202047
11 201746
12 201743
13 200741
14
Introduction to arules — Mining Association Rules and Frequent Item Sets
200636
15 200730
16 201728
17 201624
18
Evaluation of Recommender Algorithms for an Internet Information Broker based on Simple Association Rules and on the Repeat-Buying Theory
200222
19
Educational and scientific recommender systems: Designing the information channels of the virtual university
200118
20 201016

About Michael Hahsler

Michael Hahsler is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Molecular Biology and Computational Theory and Mathematics, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (21 papers), Rough Sets and Fuzzy Logic (9 papers), Data Management and Algorithms (8 papers), Data Stream Mining Techniques (8 papers), Advanced Clustering Algorithms Research (6 papers), Genomics and Phylogenetic Studies (6 papers), Machine Learning in Bioinformatics (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Signal Processing (305 citations), Marketing (181 citations), Information Systems (421 citations), Artificial Intelligence (588 citations) and Transportation (91 citations). Michael Hahsler has collaborated with scholars based in United States, Austria and Algeria. Frequent co-authors include Kurt Hornik, Matthew Piekenbrock, Derek Doran, Christian Buchta, Thomas Reutterer, Bettina Grün, Andreas Geyer-Schulz, Tyler Moore, Margaret H. Dunham and Paul S. Krueger. Their work appears in journals such as Journal of Statistical Software, The R Journal, Journal of the Association for Information Systems, Journal of Business Economics and International journal of engineering education.

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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