Jan Pfeifer

433 total citations
6 papers, 69 citations indexed

About

Jan Pfeifer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Jan Pfeifer has authored 6 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Jan Pfeifer's work include Machine Learning and Data Classification (2 papers), Systems Engineering Methodologies and Applications (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Jan Pfeifer is often cited by papers focused on Machine Learning and Data Classification (2 papers), Systems Engineering Methodologies and Applications (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Jan Pfeifer collaborates with scholars based in United States, Switzerland and Germany. Jan Pfeifer's co-authors include Maya R. Gupta, Andrew Cotter, Kevin Robert Canini, Xin Ding, Seungil You, Sebastian Bruch, Florian Hintz and Iris Graessler and has published in prestigious journals such as Journal of Machine Learning Research, neural information processing systems and Neural Information Processing Systems.

In The Last Decade

Jan Pfeifer

5 papers receiving 69 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Pfeifer United States 4 44 11 10 9 8 6 69
Baptiste Rozière United States 5 39 0.9× 10 0.9× 6 0.6× 8 0.9× 15 1.9× 7 73
Doug Strain United States 2 31 0.7× 10 0.9× 10 1.0× 8 0.9× 14 1.8× 3 45
Roberta Răileanu Israel 4 76 1.7× 20 1.8× 4 0.4× 6 0.7× 5 0.6× 11 114
Trieu H. Trinh United States 3 78 1.8× 16 1.5× 2 0.2× 8 0.9× 17 2.1× 4 131
M. Ramakrishna Murty India 6 72 1.6× 13 1.2× 11 1.1× 28 3.1× 5 0.6× 7 110
Om Thakkar United States 6 155 3.5× 13 1.2× 4 0.4× 14 1.6× 3 0.4× 14 170
Antoine Amarilli France 4 32 0.7× 5 0.5× 17 1.7× 7 0.8× 7 0.9× 20 48
Sebastiaan de Hoogh Netherlands 2 44 1.0× 4 0.4× 5 0.5× 28 3.1× 10 1.3× 2 62
Kamalpreet Kaur India 4 13 0.3× 17 1.5× 5 0.5× 13 1.4× 4 0.5× 17 44

Countries citing papers authored by Jan Pfeifer

Since Specialization
Citations

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

Fields of papers citing papers by Jan Pfeifer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Pfeifer

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

All Works

6 of 6 papers shown
1.
Graessler, Iris, et al.. (2024). Systems Engineering roles to handle emergent properties and behaviors in complex technical systems. INCOSE International Symposium. 34(1). 584–598.
2.
Bruch, Sebastian, et al.. (2023). Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. 4068–4077. 3 indexed citations
3.
You, Seungil, Xin Ding, Kevin Robert Canini, Jan Pfeifer, & Maya R. Gupta. (2017). Deep Lattice Networks and Partial Monotonic Functions. neural information processing systems. 30. 2981–2989. 13 indexed citations
4.
Canini, Kevin Robert, et al.. (2016). Fast and Flexible Monotonic Functions with Ensembles of Lattices. Neural Information Processing Systems. 29. 2919–2927. 10 indexed citations
5.
Gupta, Maya R., et al.. (2016). Monotonic calibrated interpolated look-up tables. Journal of Machine Learning Research. 17(1). 3790–3836. 37 indexed citations
6.
Cotter, Andrew, Maya R. Gupta, & Jan Pfeifer. (2016). A Light Touch for Heavily Constrained SGD. Conference on Learning Theory. 729–771. 6 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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