M. Tromp

838 citations
16 papers · 595 indexed · h-index 11

Impact in

Papers in

M. Tromp

16 papers receiving 582 citations

Peers

M. Tromp
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 228
  • Pediatrics, Perinatology and Child Health 315
  • Management Science and Operations Research 87
  • Health 53
  • Emergency Medicine 56
Replace F A Connell with:
F A Connell United States
Pamela Adelson Australia
Hugo Pilkington France
Angelo Nyamtema Tanzania
Ulrika Baker Sweden
Hema Magge United States
Celestin Hategeka Canada
Diana Elbourne United Kingdom
Karen Jubanyik United States
Ezequiel García‐Elorrio Argentina
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Citations per field
00.5×7.3×
F A Connell · 1×
Citations per year

Countries citing papers authored by M. Tromp

Since Specialization
Citations

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

Fields of papers citing papers by M. Tromp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20167
2 20111
3 20117
4 201019
5 2010123
6 201073
7 201084
8 200942
9 200960
10 200942
11 20097
12 200815
13 200865
14
[Perinatal mortality in The Netherlands 2000-2006; risk factors and risk selection].
200823
15
Record linkage: making the most out of errors in linking variables.
200618
16
Medical Record Linkage of Anonymous Registries without Validated Sample Linkage of the Dutch Perinatal Registries.
20059

About M. Tromp

M. Tromp is a scholar working on Health Information Management, Obstetrics and Gynecology, Management Science and Operations Research, Pediatrics, Perinatology and Child Health and Emergency Medicine, having authored 16 papers that have together received 595 indexed citations. Recurring topics across this work include Data Quality and Management (6 papers), Global Maternal and Child Health (5 papers), Electronic Health Records Systems (3 papers), Emergency and Acute Care Studies (3 papers), Maternal and Perinatal Health Interventions (3 papers), Pregnancy-related medical research (2 papers), Birth, Development, and Health (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Obstetrics and Gynecology (228 citations), Pediatrics, Perinatology and Child Health (315 citations), Management Science and Operations Research (87 citations), Health (53 citations) and Emergency Medicine (56 citations). M. Tromp has collaborated with scholars based in Netherlands, Curacao and Switzerland. Frequent co-authors include Anita C.J. Ravelli, Gouke J. Bonsel, Johannes B. Reitsma, Martine Eskes, Ben W. Mol, Arie Hasman, Ameen Abu‐Hanna, M. de Groot, Manon van Eijsden and Joris van der Post. Their work appears in journals such as Journal of Epidemiology & Community Health, BJOG An International Journal of Obstetrics & Gynaecology, Vox Sanguinis, Obstetrical & Gynecological Survey and Eurosurveillance.

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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