Niklas Pfister

47 total papers · 503 total citations
9 papers, 111 citations indexed

About

Niklas Pfister is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Niklas Pfister has authored 9 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Management Science and Operations Research. Recurrent topics in Niklas Pfister's work include Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Bandit Algorithms Research (2 papers) and Statistical Methods and Inference (2 papers). Niklas Pfister is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Bandit Algorithms Research (2 papers) and Statistical Methods and Inference (2 papers). Niklas Pfister collaborates with scholars based in Denmark, Germany and Switzerland. Niklas Pfister's co-authors include Jonas Peters, Peter Bühlmann, Stefan Bauer, Lu Lu, Ruedi Aebersold, Evan G. Williams, Casey J. Bohl, Nicola Zamboni, Sebastian Weichwald and Collin Y. Ewald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Niklas Pfister

9 papers receiving 110 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Niklas Pfister	46	30	17	15	9	9	111
Florencia Leonardi	62 1.3×	21 0.7×	16 0.9×	5 0.3×	7 0.8×	16	97
Palma London	58 1.3×	65 2.2×	37 2.2×	14 0.9×	2 0.2×	9	157
Tim Hanson	74 1.6×	18 0.6×	68 4.0×	16 1.1×	11 1.2×	10	176
Kofi P. Adragni	36 0.8×	9 0.3×	56 3.3×	5 0.3×	4 0.4×	10	101
Klaus J. Utikal	76 1.7×	29 1.0×	146 8.6×	13 0.9×	23 2.6×	11	235
Gertraud Malsiner‐Walli	129 2.8×	23 0.8×	83 4.9×	10 0.7×	18 2.0×	14	223
Élie Aïdékon	25 0.5×	29 1.0×	82 4.8×	27 1.8×	5 0.6×	12	227
Simon Ott	56 1.2×	13 0.4×	2 0.1×	6 0.4×	8 0.9×	12	121
Rafał Sałustowicz	195 4.2×	27 0.9×	2 0.1×	22 1.5×	9 1.0×	11	226
Stephanie van de Sandt	31 0.7×	29 1.0×	4 0.2×	47 3.1×	2 0.2×	9	218

Countries citing papers authored by Niklas Pfister

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Pfister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Pfister

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

All Works

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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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