Beate Jahn

2.4k citations
84 papers · 1.8k · 1 hit paper · h-index 20

Impact in

Papers in

Beate Jahn

70 papers receiving 1.7k citations

Beate Jahn's Hit Papers

State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3 2012 · 385 citations
3850+4+9Years since publication100200300

Peers

Beate Jahn
Comparison fields: 5 of 146
  • Modeling and Simulation 100
  • Economics and Econometrics 325
  • Emergency Medicine 87
  • Statistics and Probability 73
  • Emergency Medical Services 46
Replace Robin M. Turner with:
Robin M. Turner Australia
Ivar Sønbø Kristiansen Norway
Ashley Akbari United Kingdom
David J. Vanness United States
Tanya S. Johns United States
Abigail Beane United Kingdom
Lotte Steuten Netherlands
Phil C. McEwan United Kingdom
Conor Teljeur Ireland
Chantal Quinten Netherlands
Beate Jahn relative to Robin M. Turner Australia Robin M. Turner's profile →
Citations per field
00.5×1.5×2×2.5×
Robin M. Turner · 1×
Citations per year

Countries citing papers authored by Beate Jahn

Since Specialization
Citations

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

Fields of papers citing papers by Beate Jahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beate Jahn, 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 Beate Jahn Line = papers co-authored together Beate Jahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
Hit paper breakdown →
2012385
2 2012256
3 2012121
4 2015115
5 201471
6 200856
7 202056
8 201945
9 200540
10 202134
11 201132
12 202130
13 201927
14 201726
15 201725
16 202125
17 202223
18 201921
19 200921
20 201721

About Beate Jahn

Beate Jahn is a scholar working on Economics and Econometrics, Modeling and Simulation, Oncology, Statistics and Probability and Hematology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (20 papers), COVID-19 epidemiological studies (7 papers), Colorectal Cancer Screening and Detection (7 papers), Global Cancer Incidence and Screening (5 papers), Advanced Causal Inference Techniques (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Healthcare cost, quality, practices (3 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Economics and Econometrics (325 citations), Emergency Medicine (87 citations), Statistics and Probability (73 citations) and Emergency Medical Services (46 citations). Beate Jahn has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Uwe Siebert, Oğuzhan Alagöz, David Jonathan Cohen, Ahmed Mohamed Bayoumi, Karen M. Kuntz, Douglas K Owens, Ursula Rochau, Gaby Sroczynski, Petra Schnell‐Inderst and Nikolai Mühlberger. Their work appears in journals such as Value in Health, Medical Decision Making, Applied Health Economics and Health Policy, PharmacoEconomics and BMJ Open.

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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