Manuel Koller

1.1k total citations · 1 hit paper
10 papers, 518 citations indexed

About

Manuel Koller is a scholar working on Statistics and Probability, Infectious Diseases and Virology. According to data from OpenAlex, Manuel Koller has authored 10 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Infectious Diseases and 2 papers in Virology. Recurrent topics in Manuel Koller's work include HIV/AIDS Research and Interventions (3 papers), Advanced Statistical Methods and Models (3 papers) and HIV Research and Treatment (2 papers). Manuel Koller is often cited by papers focused on HIV/AIDS Research and Interventions (3 papers), Advanced Statistical Methods and Models (3 papers) and HIV Research and Treatment (2 papers). Manuel Koller collaborates with scholars based in Switzerland, South Africa and United States. Manuel Koller's co-authors include Werner A. Stahel, Andreas Ruckstuhl, Valentin Todorov, Matías Salibián‐Barrera, Martin Maechler, H. Benjamin, Matthias Egger, Rohan Hazra, Valériane Leroy and Kunjal Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Manuel Koller

10 papers receiving 508 citations

Hit Papers

robustlmm: An R Package for Robust Estimation of Linear M... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
    2016 405 citations Manuel Koller Journal of Statistical Software profile →

Peers

Manuel Koller
M. Rosetti Mexico
Fenghua Sun Hong Kong
Drew Altschul United Kingdom
Samuel S. Urlacher United States
Jessica Middlemis Maher United States
Kalyan Das India
Ryan Simmons United States
Tamo Nakamura Australia
Keith Pecor United States
Simon R. White United Kingdom
M. Rosetti Mexico
Manuel Koller
Citations per year, relative to Manuel Koller Manuel Koller (= 1×) peers M. Rosetti

Countries citing papers authored by Manuel Koller

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Koller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Koller

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

All Works

10 of 10 papers shown
1.
Maechler, Martin, et al.. (2020). Basic Robust Statistics [R package robustbase version 0.93-6]. 24 indexed citations
2.
Koller, Manuel. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software. 75(6). 405 indexed citations breakdown →
3.
Koller, Manuel & Werner A. Stahel. (2016). Nonsingular subsampling for regression S estimators with categorical predictors. Computational Statistics. 32(2). 631–646. 37 indexed citations
4.
Koller, Manuel, Geoffrey Fatti, H. Benjamin, et al.. (2015). Implementation and Operational Research. JAIDS Journal of Acquired Immune Deficiency Syndromes. 70(3). e110–e119. 6 indexed citations
5.
Koller, Manuel. (2015). Definitions of -Functions Available in Robustbase. 2 indexed citations
6.
Koller, Manuel, Geoffrey Fatti, Olivia Keiser, et al.. (2015). Risk charts to guide targeted HIV-1 viral load monitoring of ART: development and validation in patients from resource-limited settings.. Open Access CRIS of the University of Bern. 5 indexed citations
7.
Koller, Manuel, Kunjal Patel, H. Benjamin, et al.. (2014). Immunodeficiency in Children Starting Antiretroviral Therapy in Low-, Middle-, and High-Income Countries. JAIDS Journal of Acquired Immune Deficiency Syndromes. 68(1). 62–72. 34 indexed citations
8.
Koller, Manuel & Werner A. Stahel. (2011). Sharpening Wald-type inference in robust regression for small samples. Computational Statistics & Data Analysis. 55(8). 2504–2515. 3 indexed citations
9.
Koletzko, Berthold, İ. Çeli̇k, Karl‐Walter Jauch, et al.. (2009). Introduction and methodology – Guidelines on Parenteral Nutrition, Chapter 1. SHILAP Revista de lepidopterología. 7. Doc26–Doc26. 1 indexed citations
10.
Metzger, U, et al.. (1988). [Abscess in HIV infection].. PubMed. 77(44). 1189–92. 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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