Daniel Müllner

arXiv.org · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Whom Daniel Müllner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Fisher
2. Kimmo Vehkalahti
3. Charles E. Leiserson
4. Pearu Peterson
5. R. Rivest

Who trusts Daniel Müllner overall

1. Dimitri Kartsaklis
2. Brooke E. Husic
3. Leland McInnes
4. Lida Xu
5. James Robertson
6. Mor Geva
7. Xingcheng Ran
8. Yulan Guo
9. Chao Chen
10. Pankaj Mehta

Papers from Daniel Müllner's perspective

Ordered by how strongly the researchers Daniel Müllner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Introduction to algorithms
2. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
3. Cluster Analysis for Applications
4. SciPy: Open Source Scientific Tools for Python
5. Introduction to Algorithms, 3rd Edition
6. Modern hierarchical, agglomerative clustering algorithms (arXiv.org)
7. Cluster Analysis (Science)
8. The C++ programming language (2nd ed.)
9. Latent Variable Models and Factor Analysis
10. General Intelligence, Objectively Determined and Measured.

Their papers

• Modern hierarchical, agglomerative clustering algorithms (2011) — 812 citations
• fastcluster: Fast Hierarchical, Agglomerative Clustering Routines for R and Python (2013) — 663 citations