Ingeborg Waernbaum

1.4k total citations
36 papers, 933 citations indexed

About

Ingeborg Waernbaum is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Ingeborg Waernbaum has authored 36 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 13 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Genetics. Recurrent topics in Ingeborg Waernbaum's work include Advanced Causal Inference Techniques (21 papers), Statistical Methods and Inference (16 papers) and Diabetes Management and Research (13 papers). Ingeborg Waernbaum is often cited by papers focused on Advanced Causal Inference Techniques (21 papers), Statistical Methods and Inference (16 papers) and Diabetes Management and Research (13 papers). Ingeborg Waernbaum collaborates with scholars based in Sweden, Belgium and Denmark. Ingeborg Waernbaum's co-authors include Gisela Dahlquist, Torbjörn Lind, Jan W. Eriksson, Anna Möllsten, Margareta Norberg, Xavier de Luna, Thomas S. Richardson, Hans J. Arnqvist, Lennarth Nyström and Maria Svensson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetes.

In The Last Decade

Ingeborg Waernbaum

33 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingeborg Waernbaum Sweden 12 385 314 231 171 125 36 933
Brian P. Schmitt United States 19 335 0.9× 88 0.3× 230 1.0× 26 0.2× 93 0.7× 43 1.8k
Sumesh Kachroo United States 22 147 0.4× 264 0.8× 183 0.8× 35 0.2× 118 0.9× 91 1.4k
Christopher Blanchette United States 11 34 0.1× 54 0.2× 108 0.5× 62 0.4× 39 0.3× 15 788
J. Green United Kingdom 6 162 0.4× 224 0.7× 205 0.9× 11 0.1× 265 2.1× 7 1.2k
Rubin Minhas United Kingdom 11 384 1.0× 73 0.2× 646 2.8× 25 0.1× 12 0.1× 21 1.6k
Bingcao Wu United States 15 148 0.4× 23 0.1× 70 0.3× 7 0.0× 103 0.8× 63 690
Helen Strongman United Kingdom 15 83 0.2× 49 0.2× 77 0.3× 13 0.1× 23 0.2× 35 1.1k
Corran Roberts United Kingdom 10 121 0.3× 32 0.1× 165 0.7× 27 0.2× 6 0.0× 18 929
Conall M. O’Seaghdha Ireland 21 108 0.3× 110 0.4× 253 1.1× 4 0.0× 17 0.1× 48 1.3k
Lone Frank Brazil 7 41 0.1× 71 0.2× 215 0.9× 6 0.0× 37 0.3× 15 909

Countries citing papers authored by Ingeborg Waernbaum

Since Specialization
Citations

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

Fields of papers citing papers by Ingeborg Waernbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingeborg Waernbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Ingeborg Waernbaum. A scholar is included among the top collaborators of Ingeborg Waernbaum 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 Ingeborg Waernbaum. Ingeborg Waernbaum 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.
Waernbaum, Ingeborg, et al.. (2025). Covariate selection strategies and estimands - a review of current practice of risk factor analysis from a causal perspective. BMC Medical Research Methodology. 25(1). 260–260.
2.
Gabriel, Erin E., Michael C. Sachs, Ingeborg Waernbaum, et al.. (2024). Propensity weighting plus adjustment in proportional hazards model is not doubly robust. Biometrics. 80(3). 1 indexed citations
3.
Sjölander, Arvid & Ingeborg Waernbaum. (2024). Improved sensitivity bounds for mediation under unmeasured mediator–outcome confounding. SHILAP Revista de lepidopterología. 12(1).
4.
Gabriel, Erin E., Michael C. Sachs, Torben Martinussen, et al.. (2023). Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation. Statistics in Medicine. 43(3). 534–547. 13 indexed citations
5.
Waernbaum, Ingeborg, et al.. (2023). Large Sample Properties of Entropy Balancing Estimators of Average Causal Effects. Econometrics and Statistics. 4 indexed citations
6.
Waernbaum, Ingeborg, et al.. (2022). Selection bias and multiple inclusion criteria in observational studies. KTH Publication Database DiVA (KTH Royal Institute of Technology). 11(1). 1 indexed citations
7.
Waernbaum, Ingeborg, Torbjörn Lind, Anna Möllsten, & Gisela Dahlquist. (2022). The incidence of childhood-onset type 1 diabetes, time trends and association with the population composition in Sweden: a 40 year follow-up. Diabetologia. 66(2). 346–353. 9 indexed citations
8.
Waernbaum, Ingeborg, Gisela Dahlquist, & Torbjörn Lind. (2019). Perinatal risk factors for type 1 diabetes revisited: a population-based register study. Diabetologia. 62(7). 1173–1184. 42 indexed citations
9.
Möllsten, Anna, Ingeborg Waernbaum, Staffan Schön, et al.. (2018). Decreasing Cumulative Incidence of End-Stage Renal Disease in Young Patients With Type 1 Diabetes in Sweden: A 38-Year Prospective Nationwide Study. Diabetes Care. 42(1). 27–31. 22 indexed citations
10.
11.
Waernbaum, Ingeborg & Gisela Dahlquist. (2015). Low mean temperature rather than few sunshine hours are associated with an increased incidence of type 1 diabetes in children. European Journal of Epidemiology. 31(1). 61–65. 19 indexed citations
12.
Pingel, Ronnie & Ingeborg Waernbaum. (2014). Effects of correlated covariates on the asymptotic efficiency of matching and inverse probability weighting estimators for causal inference. Statistics. 49(4). 795–814. 7 indexed citations
13.
Waernbaum, Ingeborg, et al.. (2014). Incidence of fractures among children and adolescents in rural and urban communities - analysis based on 9,965 fracture events. Injury Epidemiology. 1(1). 14–14. 10 indexed citations
14.
Waernbaum, Ingeborg, et al.. (2013). Estimating a marginal causal odds ratio in a case‐control design: analyzing the effect of low birth weight on the risk of type 1 diabetes mellitus. Statistics in Medicine. 32(14). 2500–2512. 10 indexed citations
15.
Häggström, Jenny, et al.. (2013). Data-driven Algorithms for Dimension Reduction in Causal Inference: analyzing the effect of school achievements on acute complications of type 1 diabetes mellitus. arXiv (Cornell University). 2 indexed citations
16.
17.
Waernbaum, Ingeborg, et al.. (2011). Thirty Years of Prospective Nationwide Incidence of Childhood Type 1 Diabetes. Diabetes. 60(2). 577–581. 182 indexed citations
18.
Waernbaum, Ingeborg. (2008). Covariate selection and propensity score specification in causal inference. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5 indexed citations
19.
Waernbaum, Ingeborg, G. Blohmé, Jan Östman, et al.. (2006). Excess mortality in incident cases of diabetes mellitus aged 15 to 34 years at diagnosis: a population-based study (DISS) in Sweden. Diabetologia. 49(4). 653–659. 52 indexed citations
20.
Waernbaum, Ingeborg, et al.. (2005). The risk of venous thromboembolism is markedly elevated in patients with diabetes. Diabetologia. 48(5). 1017–1021. 177 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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