Markus Kalisch

3.0k citations
29 papers · 1.2k · 1 hit paper · h-index 14

Impact in

    • Statistical Methods and Inference
    • Advanced Causal Inference Techniques
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Bayesian Modeling and Causal Inference

Papers in

Markus Kalisch

29 papers receiving 1.2k citations

Hit Papers

Causal Inference Using Graphical Models with theRPackagepcalg 2012 · 307 citations
3070+4+9Years since publication100200300

Peers

Markus Kalisch
Comparison fields: 5 of 148
  • Statistics and Probability 340
  • Artificial Intelligence 432
  • Urology 52
  • Management Science and Operations Research 85
  • Molecular Biology 384
Replace Xianyang Zhang with:
Xianyang Zhang United States
Dan Lin United States
Keith Tan United Kingdom
S. Stanley Young United States
Yiwei Zhang China
W Köhler Germany
Thomas S. Richardson United States
Suresh Sharma India
Daowen Zhang United States
Hans Riedwyl Switzerland
Markus Kalisch relative to Xianyang Zhang United States Xianyang Zhang's profile →
Citations per field
00.5×3.8×
Xianyang Zhang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Markus Kalisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Kalisch Line = papers co-authored together Markus Kalisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Causal Inference Using Graphical Models with theRPackagepcalg
Hit paper breakdown →
2012307
2 2009180
3 2014134
4 2010112
5 201070
6 201861
7 201256
8 201251
9 201042
10 200836
11 200729
12 201626
13 201423
14 200513
15 202112
16 201011
17 20158
18 20167
19 20117
20 20196

About Markus Kalisch

Markus Kalisch is a scholar working on Artificial Intelligence, Statistics and Probability, Surgery, Molecular Biology and Epidemiology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (4 papers), Bone fractures and treatments (4 papers), Orthopedic Surgery and Rehabilitation (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Orthopedic Infections and Treatments (2 papers). The work is most often cited by research in Statistics and Probability (340 citations), Artificial Intelligence (432 citations), Urology (52 citations), Management Science and Operations Research (85 citations) and Molecular Biology (384 citations). Markus Kalisch has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Peter Bühlmann, Marloes H. Maathuis, Martin Mächler, Diego Colombo, Lukas Meier, D. Weber, Johannes Textor, Claudiu T. Supuran, Martina Steiner and Jörg Scheuermann. Their work appears in journals such as Journal of Hand Surgery (European Volume), BMC Systems Biology, Quality Technology & Quantitative Management, Journal of Pediatric Orthopaedics and The Annals of Statistics.

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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