Nico Kalisvaart

1.4k citations
25 papers · 894 indexed · h-index 15

Nico Kalisvaart

25 papers receiving 859 citations

Peers

Nico Kalisvaart
Comparison fields: 5 of 85
  • Infectious Diseases 777
  • Epidemiology 644
  • Surgery 377
  • Pharmacology 41
  • Modeling and Simulation 17
Replace Philip Onyebujoh with:
Philip Onyebujoh South Africa
Christian Gunneberg Switzerland
César Antonio Bonilla-Asalde Peru
Yunzhou Ruan China
M. Grzemska Switzerland
Anna Cristina Calçada Carvalho Brazil
P Chaulet Algeria
Mehran Hosseini Switzerland
Munira Khan South Africa
Hee Jin Kim South Korea
Nico Kalisvaart relative to Philip Onyebujoh South Africa Philip Onyebujoh's profile →
Citations per field
00.5×1.5×2.4×
Philip Onyebujoh · 1×
Citations per year

Countries citing papers authored by Nico Kalisvaart

Since Specialization
Citations

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

Fields of papers citing papers by Nico Kalisvaart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 202215
3 20208
4 201915
5 20197
6 20157
7 201127
8 201175
9 20099
10 200943
11 2008224
12
[Estimation of the incidence of tuberculosis in The Netherlands in 2030].
20081
13 200635
14
HIV prevalence among tuberculosis patients in The Netherlands, 1993-2001: trends and risk factors.
200611
15 200492
16
Pyrazinamide use as a method of estimating under-reporting of tuberculosis.
20019
17 200034
18
Density of tuberculin skin reaction and its association with tuberculosis infection as defined by dual tuberculin testing.
20001
19 199967
20 199864

About Nico Kalisvaart

Nico Kalisvaart is a scholar working on Infectious Diseases, Epidemiology and General Social Sciences, having authored 25 papers that have together received 894 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Diagnosis and treatment of tuberculosis (9 papers), Mycobacterium research and diagnosis (8 papers), Pneumonia and Respiratory Infections (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Infectious Diseases and Tuberculosis (3 papers), Chronic Disease Management Strategies (2 papers) and HIV/AIDS Impact and Responses (2 papers). The work is most often cited by research in Infectious Diseases (777 citations), Epidemiology (644 citations) and Surgery (377 citations). Nico Kalisvaart has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Martien W. Borgdorff, Dick van Soolingen, M. M. G. G. Šebek, Sandra V. Kik, Suzanne Verver, Martin J. Boeree, Alma Tostmann, Nico Nagelkerke, Frank Cobelens and Kristin Kremer. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and American Journal of Epidemiology.

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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