Bastian Pfeifer

1.8k total citations · 2 hit papers
31 papers, 1.2k citations indexed

About

Bastian Pfeifer is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Bastian Pfeifer has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Bastian Pfeifer's work include Bioinformatics and Genomic Networks (9 papers), Explainable Artificial Intelligence (XAI) (8 papers) and Gene expression and cancer classification (8 papers). Bastian Pfeifer is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Explainable Artificial Intelligence (XAI) (8 papers) and Gene expression and cancer classification (8 papers). Bastian Pfeifer collaborates with scholars based in Austria, Germany and Canada. Bastian Pfeifer's co-authors include Martin J. Lercher, Sebastián E. Ramos‐Onsins, Andreas Holzinger, Anna Saranti, Bernd Malle, Michael G. Schimek, Durrell D. Kapan, Alessa Angerschmid, Anne-Christin Hauschild and Marcus Bloice and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Bastian Pfeifer

23 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses in R

2014 666 citations Bastian Pfeifer et al. profile →
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

2021 240 citations Andreas Holzinger, Anna Saranti et al. profile →

Peers

Countries citing papers authored by Bastian Pfeifer

Since Specialization

Citations

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

Fields of papers citing papers by Bastian Pfeifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bastian Pfeifer

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Calibrated kNN classification via second-layer neighborhood analysis 2025 ·Advances in Data Analysis and Classification ·Bastian Pfeifer, Markus Kreuzthaler	0
2	Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping 2025 ·BioData Mining ·(unknown), Martin Urschler, Bastian Pfeifer	2
3	Tree smoothing: Post-hoc regularization of tree ensembles for interpretable machine learning 2024 ·Information Sciences ·Bastian Pfeifer, (unknown), (unknown), Andreas Holzinger	4
4	Federated unsupervised random forest for privacy-preserving patient stratification 2024 ·Bioinformatics ·Bastian Pfeifer, (unknown), Marcus Bloice, Markus Kreuzthaler, Martin Urschler	5
5	CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks 2024 ·Journal of Biomedical Informatics ·(unknown), Anna Saranti, Alessa Angerschmid, Bastian Pfeifer, (unknown), Andreas Holzinger, Anne-Christin Hauschild	29
6	Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loop 2024 ·Scientific Reports ·(unknown), (unknown), Andreas Holzinger, Bastian Pfeifer	6
7	From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges 2024 ·Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Anna Saranti, Bastian Pfeifer, Christoph Gollob, Karl Stampfer, Andreas Holzinger	7
8	Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification 2023 ·Bioinformatics ·Bastian Pfeifer, (unknown), Roman Martin, Anna Saranti, (unknown), Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider	12
9	Parea: Multi-view ensemble clustering for cancer subtype discovery 2023 ·Journal of Biomedical Informatics ·Bastian Pfeifer, Marcus Bloice, Michael G. Schimek	11
10	Embedding-based terminology expansion via secondary use of large clinical real-world datasets 2023 ·Journal of Biomedical Informatics ·(unknown), Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler	0
11	GNN-SubNet: disease subnetwork detection with explainable graph neural networks 2022 ·Bioinformatics ·Bastian Pfeifer, Anna Saranti, Andreas Holzinger	41
12	Correction: Generating Explanations for Conceptual Validation of Graph Neural Networks 2022 ·KI - Künstliche Intelligenz ·Bettina Finzel, Anna Saranti, Alessa Angerschmid, (unknown), Bastian Pfeifer, (unknown)	1
13	Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs 2022 ·KI - Künstliche Intelligenz ·Bettina Finzel, Anna Saranti, Alessa Angerschmid, (unknown), Bastian Pfeifer, (unknown)	11
14	Multi-omics disease module detection with an explainable Greedy Decision Forest 2022 ·Scientific Reports ·Bastian Pfeifer, Hubert Baniecki, Anna Saranti, Przemysław Biecek, Andreas Holzinger	21
15	Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets 2022 ·Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz	0
16	Genome scans for selection and introgression based on k ‐nearest neighbour techniques 2020 ·Molecular Ecology Resources ·Bastian Pfeifer, Nikolaos Alachiotis, Pavlos Pavlidis, Michael G. Schimek	12
17	A hierarchical clustering and data fusion approach for disease subtype discovery 2020 ·Journal of Biomedical Informatics ·Bastian Pfeifer, Michael G. Schimek	18
18	EHR problem list clustering for improved topic-space navigation 2019 ·BMC Medical Informatics and Decision Making ·Markus Kreuzthaler, Bastian Pfeifer, (unknown), Diether Kramer, (unknown), (unknown), M. Pedevilla, Peter Krisper, Stefan Schulz	4
19	Estimates of introgression as a function of pairwise distances 2019 ·BMC Bioinformatics ·Bastian Pfeifer, Durrell D. Kapan	21
20	EHR Text Categorization for Enhanced Patient-Based Document Navigation 2018 ·Studies in health technology and informatics ·Markus Kreuzthaler, Bastian Pfeifer, (unknown), Diether Kramer, (unknown), (unknown), M. Pedevilla, Peter Krisper, Stefan Schulz	0

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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