Dik Habbema

1.2k citations
19 papers · 906 indexed · h-index 15
Topics
Global Cancer Incidence and Screening (5 papers)Cervical Cancer and HPV Research (5 papers)Parasitic Diseases Research and Treatment (3 papers)

In The Last Decade

Dik Habbema

19 papers receiving 870 citations

Peers

Dik Habbema
Comparison fields: 5 of 96
  • Epidemiology 348
  • Infectious Diseases 241
  • Oncology 206
  • Surgery 127
  • Ecology 109
Replace Robert Leke with:
Robert Leke Cameroon
Victor Mudenda Zambia
Zilungile L. Mkhize‐Kwitshana South Africa
Godwin Imade Nigeria
David J. Riedel United States
Barbara Metch United States
Claudia M. Galindo Switzerland
Pierre Vassilakos Switzerland
Laura Skrip United States
Johannes Horn Germany
Dik Habbema relative to Robert Leke Cameroon Robert Leke's profile →
Citations per field
00.5×10×15×18.2×
Robert Leke · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 48
3 50
4 50
5 99
6 79
7 66
8 47
9 36
10 32
11 2
12 30
13 87
14 94
15 38
16
Adaptive extensions of the Nelder and Mead Simplex Method for optimization of stochastic simulation models
8
17
Comparison of response surface methodology and the Nelder and Mead simplex method for optimization in microsimulation models
8
18 82
19 48

About Dik Habbema

Dik Habbema is a scholar working on Transplantation, Discrete Mathematics and Combinatorics and Parasitology, having authored 19 papers that have together received 906 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Cervical Cancer and HPV Research (5 papers) and Parasitic Diseases Research and Treatment (3 papers). The work is most often cited by research in Parasitology (103 citations), Infectious Diseases (241 citations) and Epidemiology (348 citations). Dik Habbema has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Marjolein van Ballegooijen, Matejka Rebolj, Martin L. Brown, Inge M.C.M. de Kok, Sake J. de Vlas, ER te Velde, Luc E. Coffeng, Wilma A. Stolk, Jan Hendrik Richardus and Roel Bakker. Their work appears in journals such as PLoS ONE, BMJ and International Journal of Cancer.

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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