Dankmar Böhning

5.9k total citations
187 papers, 4.0k citations indexed

About

Dankmar Böhning is a scholar working on Statistics and Probability, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Dankmar Böhning has authored 187 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Statistics and Probability, 53 papers in Epidemiology and 47 papers in Artificial Intelligence. Recurrent topics in Dankmar Böhning's work include Census and Population Estimation (55 papers), Statistical Methods and Bayesian Inference (48 papers) and Bayesian Methods and Mixture Models (45 papers). Dankmar Böhning is often cited by papers focused on Census and Population Estimation (55 papers), Statistical Methods and Bayesian Inference (48 papers) and Bayesian Methods and Mixture Models (45 papers). Dankmar Böhning collaborates with scholars based in United Kingdom, Germany and Thailand. Dankmar Böhning's co-authors include Peter Schlattmann, Elisabeth Dietz, Heinz Holling, Bruce G. Lindsay, Luciana De Michelis Mendonça, Ronny Kuhnert, Antonello Maruotti, Victor Del Rio Vilas, Chukiat Viwatwongkasem and P.G.M. van der Heijden and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Dankmar Böhning

180 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dankmar Böhning United Kingdom 35 2.0k 1.1k 729 366 361 187 4.0k
Wesley O. Johnson United States 40 1.9k 0.9× 841 0.8× 1.1k 1.6× 336 0.9× 234 0.6× 158 6.1k
Diane Lambert United States 21 1.4k 0.7× 939 0.9× 223 0.3× 277 0.8× 620 1.7× 62 4.2k
Odd O. Aalen Norway 38 2.6k 1.3× 666 0.6× 542 0.7× 273 0.7× 802 2.2× 121 6.4k
Ming‐Hui Chen United States 36 1.7k 0.8× 576 0.5× 288 0.4× 135 0.4× 353 1.0× 92 6.1k
Leonhard Held Switzerland 45 1.8k 0.9× 1.2k 1.1× 1.3k 1.8× 377 1.0× 1.1k 3.2× 212 8.8k
Ørnulf Borgan Norway 30 4.5k 2.2× 899 0.8× 464 0.6× 445 1.2× 868 2.4× 84 8.3k
David P. Harrington United States 29 2.6k 1.3× 500 0.5× 645 0.9× 285 0.8× 550 1.5× 75 6.2k
Ronald Christensen United States 29 1.5k 0.8× 712 0.7× 213 0.3× 287 0.8× 445 1.2× 128 4.5k
Emmanuel Lesaffre Belgium 37 2.3k 1.2× 827 0.8× 317 0.4× 285 0.8× 512 1.4× 125 6.1k
Nicholas P. Jewell United States 47 2.2k 1.1× 930 0.8× 871 1.2× 186 0.5× 692 1.9× 199 10.2k

Countries citing papers authored by Dankmar Böhning

Since Specialization
Citations

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

Fields of papers citing papers by Dankmar Böhning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dankmar Böhning

This figure shows the co-authorship network connecting the top 25 collaborators of Dankmar Böhning. A scholar is included among the top collaborators of Dankmar Böhning 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 Dankmar Böhning. Dankmar Böhning 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.
Mukadam, Naaheed, et al.. (2025). Estimating undiagnosed dementia in England using capture recapture techniques. BMC Geriatrics. 25(1). 1–1. 1 indexed citations
2.
Loro, Pierfrancesco Alaimo Di, Dankmar Böhning, & Sujit K. Sahu. (2024). A Bayesian spatio-temporal Poisson auto-regressive model for the disease infection rate: application to COVID-19 cases in England. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(3). 551–575. 2 indexed citations
3.
Böhning, Dankmar, et al.. (2024). On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated?. Biometrical Journal. 66(3). e2300175–e2300175.
4.
Gibbs, Jenna C., Dankmar Böhning, Martin Warner, et al.. (2023). Assessing injury risk in male and female Royal Navy recruits: does the Functional Movement Screen provide understanding to inform effective injury mitigation?. BMJ Military Health. 171(3). 250–255. 2 indexed citations
5.
Böhning, Dankmar, et al.. (2022). Estimating risk and rate ratio in rare events meta-analysis with the Mantel–Haenszel estimator and assessing heterogeneity. The International Journal of Biostatistics. 19(1). 21–38. 3 indexed citations
6.
7.
Böhning, Dankmar, et al.. (2021). Investigating heterogeneity in meta-analysis of studies with rare events. METRON. 79(3). 259–272. 4 indexed citations
8.
Böhning, Dankmar, et al.. (2020). Estimating the size of undetected cases of the COVID-19 outbreak in Europe: an upper bound estimator. ePrints Soton (University of Southampton). 9(s1). 15 indexed citations
9.
Böhning, Dankmar, et al.. (2020). The combined effect of alcohol and body mass index on risk of chronic liver disease: A systematic review and meta‐analysis of cohort studies. Liver International. 41(6). 1216–1226. 19 indexed citations
10.
11.
Griffiths, Peter, Jane Ball, Karen Bloor, et al.. (2018). Nurse staffing levels, missed vital signs and mortality in hospitals: retrospective longitudinal observational study. SHILAP Revista de lepidopterología. 6(38). 1–120. 102 indexed citations
12.
Holling, Heinz, et al.. (2015). The covariate-adjusted frequency plot for the Rasch Poisson Counts model. ePrints Soton (University of Southampton). 6 indexed citations
13.
Holt, Richard I. G., Nishan Guha, Christiaan Bartlett, et al.. (2015). The development of decision limits for the GH‐2000 detection methodology using additional insulin‐like growth factor‐I and amino‐terminal pro‐peptide of type III collagen assays. Drug Testing and Analysis. 7(9). 745–755. 27 indexed citations
14.
Doebler, Philipp, Heinz Holling, & Dankmar Böhning. (2012). A mixed model approach to meta-analysis of diagnostic studies with binary test outcome.. Psychological Methods. 17(3). 418–436. 39 indexed citations
15.
Böhning, Dankmar, et al.. (2010). Improved methods for surveying and monitoring crimes through likelihood based cluster analysis. ePrints Soton (University of Southampton). 3(2). 5 indexed citations
16.
Böhning, Dankmar, et al.. (2009). A covariate adjustment for zero-truncated approaches to estimating the size of hidden and elusive populations. Utrecht University Repository (Utrecht University). 20 indexed citations
17.
Schulze, Ralf, Heinz Holling, & Dankmar Böhning. (2003). Meta-analysis : new developments and applications in medical and social sciences. 64 indexed citations
18.
Böhning, Dankmar, et al.. (1999). Analysis of geographical heterogeneity in live-birth ratio in Thailand.. PubMed. 4(2). 115–22. 2 indexed citations
19.
Dietz, Elisabeth & Dankmar Böhning. (1997). The Use of Two-Component Mixture Models with One Completely or Partly Known Component. SSRN Electronic Journal. 11 indexed citations
20.
Böhning, Dankmar. (1983). A duality theorem with applications to statistics. Series Statistics. 14(4). 551–557. 2 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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