Dik Habbema

1.2k total citations
19 papers, 906 citations indexed

About

Dik Habbema is a scholar working on Epidemiology, Oncology and Infectious Diseases. According to data from OpenAlex, Dik Habbema has authored 19 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Oncology and 5 papers in Infectious Diseases. Recurrent topics in Dik Habbema's work include Global Cancer Incidence and Screening (5 papers), Cervical Cancer and HPV Research (5 papers) and Parasitic Diseases Research and Treatment (3 papers). Dik Habbema is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Cervical Cancer and HPV Research (5 papers) and Parasitic Diseases Research and Treatment (3 papers). Dik Habbema collaborates with scholars based in Netherlands, United Kingdom and United States. Dik Habbema's co-authors include Matejka Rebolj, Marjolein van Ballegooijen, Inge M.C.M. de Kok, Martin L. Brown, ER te Velde, Sake J. de Vlas, Wilma A. Stolk, Luc E. Coffeng, Jan Hendrik Richardus and Roel Bakker and has published in prestigious journals such as PLoS ONE, BMJ and International Journal of Cancer.

In The Last Decade

Dik Habbema

19 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dik Habbema Netherlands 15 348 241 206 127 109 19 906
Laura Sangaré United States 17 258 0.7× 184 0.8× 141 0.7× 71 0.6× 66 0.6× 33 1.1k
Jonathan D. King United States 23 297 0.9× 405 1.7× 333 1.6× 129 1.0× 207 1.9× 70 1.7k
Zilungile L. Mkhize‐Kwitshana South Africa 12 273 0.8× 116 0.5× 137 0.7× 66 0.5× 49 0.4× 47 652
Laura Skrip United States 20 309 0.9× 392 1.6× 103 0.5× 100 0.8× 13 0.1× 61 1.1k
Juliet Ndibazza Uganda 17 158 0.5× 167 0.7× 126 0.6× 40 0.3× 98 0.9× 23 854
Claudio Fronterrè United Kingdom 14 254 0.7× 261 1.1× 70 0.3× 20 0.2× 49 0.4× 41 856
David J. Riedel United States 21 578 1.7× 547 2.3× 275 1.3× 150 1.2× 11 0.1× 95 1.3k
Henri Taelman Belgium 11 441 1.3× 511 2.1× 116 0.6× 108 0.9× 14 0.1× 18 996
Victor Mudenda Zambia 21 913 2.6× 691 2.9× 355 1.7× 362 2.9× 16 0.1× 53 1.7k
Johannes Horn Germany 16 2.2k 6.4× 271 1.1× 135 0.7× 134 1.1× 21 0.2× 38 2.7k

Countries citing papers authored by Dik Habbema

Since Specialization
Citations

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

Fields of papers citing papers by Dik Habbema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dik Habbema

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

All Works

19 of 19 papers shown
1.
Habbema, Dik. (2018). Statistical analysis and decision making in cancer screening. European Journal of Epidemiology. 33(5). 433–435. 2 indexed citations
2.
Habbema, Dik, Sheila Weinmann, Marc Arbyn, et al.. (2016). Harms of cervical cancer screening in the United States and the Netherlands. International Journal of Cancer. 140(5). 1215–1222. 48 indexed citations
3.
Coffeng, Luc E., Wilma A. Stolk, Achim Hoerauf, et al.. (2014). Elimination of African Onchocerciasis: Modeling the Impact of Increasing the Frequency of Ivermectin Mass Treatment. PLoS ONE. 9(12). e115886–e115886. 50 indexed citations
4.
Coffeng, Luc E., Wilma A. Stolk, Honorat Zouré, et al.. (2014). African Programme for Onchocerciasis Control 1995–2015: Updated Health Impact Estimates Based on New Disability Weights. PLoS neglected tropical diseases. 8(6). e2759–e2759. 50 indexed citations
5.
Coffeng, Luc E., Wilma A. Stolk, Honorat Zouré, et al.. (2013). African Programme for Onchocerciasis Control 1995–2015: Model-Estimated Health Impact and Cost. PLoS neglected tropical diseases. 7(1). e2032–e2032. 99 indexed citations
6.
7.
Habbema, Dik, Inge M.C.M. de Kok, & Martin L. Brown. (2012). Cervical Cancer Screening in the United States and the Netherlands: A Tale of Two Countries. Milbank Quarterly. 90(1). 5–37. 66 indexed citations
8.
Rebolj, Matejka, Th.J.M. Helmerhorst, Dik Habbema, et al.. (2012). Risk of cervical cancer after completed post-treatment follow-up of cervical intraepithelial neoplasia: population based cohort study. BMJ. 345(oct31 4). e6855–e6855. 47 indexed citations
9.
Velde, ER te, Alex Burdorf, Eberhard Nieschlag, et al.. (2010). Is human fecundity declining in Western countries?. Human Reproduction. 25(6). 1348–1353. 36 indexed citations
10.
Fischer, Egil A.J., Sake J. de Vlas, Abraham Meima, Dik Habbema, & Jan Hendrik Richardus. (2010). Different Mechanisms for Heterogeneity in Leprosy Susceptibility Can Explain Disease Clustering within Households. PLoS ONE. 5(11). e14061–e14061. 32 indexed citations
11.
Berks, Durk, Meeke Hoedjes, Arie Franx, et al.. (2010). T14.2 Postpartum lifestyle intervention after complicated pregnancy proves feasible. Pregnancy Hypertension. 1. S25–S25. 2 indexed citations
12.
Rebolj, Matejka, Marjolein van Ballegooijen, Elsebeth Lynge, et al.. (2009). Incidence of cervical cancer after several negative smear results by age 50: prospective observational study. BMJ. 338(apr24 1). b1354–b1354. 30 indexed citations
13.
Freeman, Esther E., Kate K. Orroth, Richard G. White, et al.. (2007). Proportion of new HIV infections attributable to herpes simplex 2 increases over time: simulations of the changing role of sexually transmitted infections in sub-Saharan African HIV epidemics. Sexually Transmitted Infections. 83(suppl_1). i17–i24. 87 indexed citations
14.
Rebolj, Matejka, et al.. (2006). Monitoring a national cancer prevention program: Successful changes in cervical cancer screening in the netherlands. International Journal of Cancer. 120(4). 806–812. 94 indexed citations
15.
Vissers, Debby, et al.. (2006). No difference in HIV incidence and sexual behaviour between out‐migrants and residents in rural Manicaland, Zimbabwe. Tropical Medicine & International Health. 11(5). 705–711. 38 indexed citations
16.
Piersma, Nanda, et al.. (2000). Adaptive extensions of the Nelder and Mead Simplex Method for optimization of stochastic simulation models. Data Archiving and Networked Services (DANS). 8 indexed citations
17.
Piersma, Nanda, et al.. (1999). Comparison of response surface methodology and the Nelder and Mead simplex method for optimization in microsimulation models. Data Archiving and Networked Services (DANS). 8 indexed citations
18.
Kranse, Ries, et al.. (1999). Predictors for biopsy outcome in the European Randomized Study of Screening for Prostate Cancer (Rotterdam Region). The Prostate. 39(4). 316–322. 82 indexed citations
19.
Hout, Ben van, et al.. (1993). Heart transplantation in the Netherlands; costs, effects and scenarios. Journal of Health Economics. 12(1). 73–93. 48 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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