Martin Pfeifle

1.3k citations
29 papers · 545 indexed · h-index 9
Topics
Data Management and Algorithms (25 papers)Advanced Clustering Algorithms Research (8 papers)Data Mining Algorithms and Applications (7 papers)
Journals
SHILAP Revista de lepidopterologíaKnowledge and Information SystemsIEEE Data(base) Engineering Bulletin
Partner nations
GermanySouth Korea

In The Last Decade

Martin Pfeifle

28 papers receiving 495 citations

Peers

Martin Pfeifle
Comparison fields: 5 of 58
  • Artificial Intelligence 308
  • Signal Processing 296
  • Information Systems 148
  • Computer Vision and Pattern Recognition 139
  • Computer Networks and Communications 101
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Citations per field
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Citations per year

Countries citing papers authored by Martin Pfeifle

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pfeifle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pfeifle

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pfeifle. A scholar is included among the top collaborators of Martin Pfeifle 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 Martin Pfeifle. Martin Pfeifle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
Probabilistic similarity join on uncertain data
2
3 3
4 92
5
Measuring the Quality of Approximated Clusterings.
2
6
Clustering moving objects via medoid clusterings
5
7
Efficient Similarity Search on Vector Sets
1
8 1
9 28
10
Der virtualle Prototyp: Datenbankunterstützung für CAD-Anwendungen.
0
11
Similarity Search in Biological and Engineering Databases.
5
12
Stochastic Driven Relational R-Tree
1
13
The Paradigm of Relational Indexing: a Survey.
8
14
Representatives for Visually Analyzing Cluster Hierarchies
2
15
Visual Mining of Cluster Hierarchies
3
16 50
17 5
18
Towards Effective and Efficient Distributed Clustering
37
19 3
20 10

About Martin Pfeifle

Martin Pfeifle is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 29 papers that have together received 545 indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Advanced Clustering Algorithms Research (8 papers) and Data Mining Algorithms and Applications (7 papers). The work is most often cited by research in Signal Processing (296 citations), Artificial Intelligence (308 citations) and Computer Vision and Pattern Recognition (139 citations). Martin Pfeifle has collaborated with scholars based in Germany and South Korea. Frequent co-authors include Hans‐Peter Kriegel, H.-P. Kriegel, Peer Kröger, Matthias Schubert, Thomas Seidl, Matthias Renz, Peter Kunath, Stefan Schönauer, Armin H. Seidl and Hans‐Hermann Bock. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge and Information Systems and IEEE Data(base) Engineering Bulletin.

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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