Nicolas S. Müller

1.8k citations
5 papers · 1.1k indexed · 1 hit paper · h-index 5
Topics
Data Analysis with R (2 papers)Time Series Analysis and Forecasting (2 papers)Intergenerational Family Dynamics and Caregiving (1 paper)
Journals
SHILAP Revista de lepidopterologíaJournal of Statistical SoftwareSociological Methods & Research
Partner nations
Switzerland

In The Last Decade

Nicolas S. Müller

5 papers receiving 1.0k citations

Hit Papers

Analyzing and Visualizing State Sequences inRwithTraMineR20112026201620212011250500750

Peers

Nicolas S. Müller
Comparison fields: 5 of 149
  • Sociology and Political Science 379
  • Demography 238
  • General Health Professions 193
  • Economics and Econometrics 110
  • Artificial Intelligence 80
Replace Alexis Gabadinho with:
Alexis Gabadinho Switzerland
Gilbert Ritschard Switzerland
Matthias Studer Switzerland
Vera Toepoel Netherlands
Yan Xia United States
Seung Youn Chyung United States
Alexander L. Janus United Kingdom
João Pedro Azevedo United States
Brid Delahunt Ireland
Mario Callegaro United States
Nicolas S. Müller relative to Alexis Gabadinho Switzerland Alexis Gabadinho's profile →
Citations per field
00.5×1.5×
Alexis Gabadinho · 1×
Citations per year

Countries citing papers authored by Nicolas S. Müller

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas S. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas S. Müller. 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 Nicolas S. Müller. The network helps show where Nicolas S. Müller may publish in the future.

Co-authorship network of co-authors of Nicolas S. Müller

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Analyzing and Visualizing State Sequences in R with TraMineR
77
2 143
3
Analyzing and Visualizing State Sequences inRwithTraMineRbreakdown →
821
4 12
5 15

About Nicolas S. Müller

Nicolas S. Müller is a scholar working on Signal Processing, Statistics and Probability and Health, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Analysis with R (2 papers), Time Series Analysis and Forecasting (2 papers) and Intergenerational Family Dynamics and Caregiving (1 paper). The work is most often cited by research in Demography (238 citations), Computer Science Applications (78 citations) and Health (79 citations). Nicolas S. Müller has collaborated with scholars based in Switzerland. Frequent co-authors include Gilbert Ritschard, Alexis Gabadinho, Matthias Studer, Marlène Sapin and Éric Widmer. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and Sociological Methods & Research.

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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