Markus Kalisch

3.0k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Markus Kalisch is a scholar working on Artificial Intelligence, Statistics and Probability and Surgery. According to data from OpenAlex, Markus Kalisch has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 7 papers in Surgery. Recurrent topics in Markus Kalisch's work include Bayesian Modeling and Causal Inference (9 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Markus Kalisch is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Markus Kalisch collaborates with scholars based in Switzerland, Germany and Italy. Markus Kalisch's co-authors include Peter Bühlmann, Marloes H. Maathuis, Martin Mächler, Diego Colombo, Lukas Meier, D. Weber, Johannes Textor, Martina Steiner, Dennis Mircsof and Dario Neri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of Urology.

In The Last Decade

Markus Kalisch

29 papers receiving 1.2k citations

Hit Papers

Causal Inference Using Graphical Models with theRPackagep... 2012 2026 2016 2021 2012 100 200 300
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. Causal Inference Using Graphical Models with theRPackagepcalg
    2012 307 citations Markus Kalisch, Martin Mächler et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Kalisch Switzerland 14 432 384 340 85 72 29 1.2k
Keith Tan United Kingdom 21 169 0.4× 186 0.5× 327 1.0× 72 0.8× 124 1.7× 49 1.6k
S. Stanley Young United States 18 80 0.2× 439 1.1× 425 1.3× 243 2.9× 32 0.4× 56 1.6k
Hani Doss United States 19 401 0.9× 292 0.8× 515 1.5× 34 0.4× 71 1.0× 45 1.7k
Yiwei Zhang China 13 88 0.2× 265 0.7× 72 0.2× 38 0.4× 58 0.8× 78 1.1k
Qiwei Li China 24 302 0.7× 558 1.5× 45 0.1× 8 0.1× 61 0.8× 137 1.8k
Hans Riedwyl Switzerland 17 161 0.4× 136 0.4× 297 0.9× 59 0.7× 90 1.3× 52 1.4k
Jacobo de Uña‐Álvarez Spain 20 287 0.7× 122 0.3× 876 2.6× 99 1.2× 47 0.7× 94 1.6k
Dan Lin United States 24 206 0.5× 572 1.5× 572 1.7× 61 0.7× 49 0.7× 79 2.0k
Daowen Zhang United States 23 239 0.6× 207 0.5× 737 2.2× 77 0.9× 74 1.0× 50 1.9k
Yoonkyung Lee United States 14 618 1.4× 388 1.0× 166 0.5× 33 0.4× 10 0.1× 46 1.5k

Countries citing papers authored by Markus Kalisch

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kalisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kalisch

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

All Works

20 of 20 papers shown
1.
Weber, D., Claudia Luckert, Markus Kalisch, et al.. (2024). Buddy taping after reduction of displaced extra-articular phalangeal finger fractures in children: a randomized controlled trial. Journal of Hand Surgery (European Volume). 50(5). 622–627. 1 indexed citations
2.
Landmann, Johannes, et al.. (2021). Assimilating near-real-time mass balance stake readings into a model ensemble using a particle filter. ˜The œcryosphere. 15(11). 5017–5040. 12 indexed citations
3.
Kalisch, Markus, Alain Hauser, & Martin Mächler. (2021). Methods for Graphical Models and Causal Inference [R package pcalg version 2.7-3]. 1 indexed citations
4.
Weber, D., Michelle Seiler, Ulrike Subotic, Markus Kalisch, & Robert Weil. (2019). Buddy taping versus splint immobilization for paediatric finger fractures: a randomized controlled trial. Journal of Hand Surgery (European Volume). 44(6). 640–647. 6 indexed citations
5.
Subotic, Ulrike, et al.. (2019). Compartment pressures in children with normal and fractured lower extremities. European Journal of Trauma and Emergency Surgery. 45(3). 493–497. 5 indexed citations
6.
Textor, Johannes, et al.. (2018). Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. Journal of Machine Learning Research. 18(220). 1–62. 61 indexed citations
7.
Kalisch, Markus, et al.. (2017). Interpreting and using CPDAGs with background knowledge. Uncertainty in Artificial Intelligence. 3 indexed citations
8.
Kalisch, Markus, et al.. (2016). Retroauricular full-thickness skin grafts in syndactyly repair: outcome and comparison with inguinal full-thickness skin grafts: retrospective (cross-sectional) study. Journal of Plastic Surgery and Hand Surgery. 50(5). 281–285. 7 indexed citations
9.
Tharakan, Sasha J., Ulrike Subotic, Markus Kalisch, Georg Staubli, & D. Weber. (2015). Compartment Pressures in Children With Normal and Fractured Forearms: A Preliminary Report. Journal of Pediatric Orthopaedics. 36(4). 410–415. 8 indexed citations
10.
Bühlmann, Peter, Markus Kalisch, & Lukas Meier. (2014). High-Dimensional Statistics with a View Toward Applications in Biology. Annual Review of Statistics and Its Application. 1(1). 255–278. 134 indexed citations
11.
Kalisch, Markus & Peter Bühlmann. (2014). Causal Structure Learning and Inference: A Selective Review. Quality Technology & Quantitative Management. 11(1). 3–21. 23 indexed citations
12.
Weber, D., et al.. (2012). The Penile Perception Score: An Instrument Enabling Evaluation by Surgeons and Patient Self-Assessment After Hypospadias Repair. The Journal of Urology. 189(1). 189–193. 56 indexed citations
13.
Colombo, Diego, Marloes H. Maathuis, Markus Kalisch, & Thomas S. Richardson. (2011). Learning high-dimensional DAGs with latent and selection variables. arXiv (Cornell University). 850–850. 3 indexed citations
14.
Bühlmann, Peter, Philipp Rütimann, & Markus Kalisch. (2011). Controlling false positive selections in high-dimensional regression and causal inference. Statistical Methods in Medical Research. 22(5). 466–492. 7 indexed citations
15.
Kalisch, Markus, et al.. (2010). Decomposition and Model Selection for Large Contingency Tables. Biometrical Journal. 52(2). 233–252. 11 indexed citations
16.
Kalisch, Markus, Bernd A. G. Fellinghauer, Eva Grill, et al.. (2010). Understanding human functioning using graphical models. BMC Medical Research Methodology. 10(1). 14–14. 42 indexed citations
17.
Buller, Fabian, Martina Steiner, Dennis Mircsof, et al.. (2010). Selection of Carbonic Anhydrase IX Inhibitors from One Million DNA-Encoded Compounds. ACS Chemical Biology. 6(4). 336–344. 112 indexed citations
18.
Maathuis, Marloes H., Markus Kalisch, & Peter Bühlmann. (2009). Estimating high-dimensional intervention effects from observational data. The Annals of Statistics. 37(6A). 180 indexed citations
19.
Kalisch, Markus, Christian Leisner, Lukas Meier, et al.. (2008). Annotating novel genes by integrating synthetic lethals and genomic information. BMC Systems Biology. 2(1). 3–3. 5 indexed citations
20.
Kalisch, Markus & Peter Bühlmann. (2008). Robustification of the PC-Algorithm for Directed Acyclic Graphs. Journal of Computational and Graphical Statistics. 17(4). 773–789. 36 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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