Martijn van Hasselt

628 citations
32 papers · 420 indexed · h-index 12
Topics
Innovation Policy and R&D (12 papers)Statistical Methods and Bayesian Inference (5 papers)Firm Innovation and Growth (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Econometrics

In The Last Decade

Martijn van Hasselt

31 papers receiving 398 citations

Peers

Martijn van Hasselt
Comparison fields: 5 of 82
  • Economics and Econometrics 188
  • General Health Professions 103
  • Management of Technology and Innovation 81
  • Physiology 62
  • Strategy and Management 56
Replace Nuno Sousa Pereira with:
Nuno Sousa Pereira United States
Mary K. Olson United States
Mohammed Saqib United States
Jaeun Shin South Korea
Manthan D Janodia India
Christoph Strumann Germany
Michela Bia Luxembourg
Jacek Klich Poland
Gnanaraj Chellaraj United States
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Martijn van Hasselt

Since Specialization
Citations

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

Fields of papers citing papers by Martijn van Hasselt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martijn van Hasselt. 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 Martijn van Hasselt. The network helps show where Martijn van Hasselt may publish in the future.

Co-authorship network of co-authors of Martijn van Hasselt

This figure shows the co-authorship network connecting the top 25 collaborators of Martijn van Hasselt. A scholar is included among the top collaborators of Martijn van Hasselt 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 Martijn van Hasselt. Martijn van Hasselt 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
#WorkIndexed citations
1 7
2 5
3 3
4
A Bayesian approach to account for misclassification in prevalence and trend estimation
1
5 7
6
The Impact of the Vermont Support and Services at Home Program on Healthcare Expenditures
4
7 1
8 10
9 22
10 34
11 16
12 2
13 8
14 56
15 33
16 3
17 46
18 20
19 29
20 5

About Martijn van Hasselt

Martijn van Hasselt is a scholar working on Management of Technology and Innovation, Statistics and Probability and Economics and Econometrics, having authored 32 papers that have together received 420 indexed citations. Recurring topics across this work include Innovation Policy and R&D (12 papers), Statistical Methods and Bayesian Inference (5 papers) and Firm Innovation and Growth (5 papers). The work is most often cited by research in Management of Technology and Innovation (81 citations), Economics and Econometrics (188 citations) and Business and International Management (12 citations). Martijn van Hasselt has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Albert N. Link, Nancy McCall, Brett R. Loomis, Kevin Smith, Michael A. Penne, Ralph S. Caraballo, Christopher R. Bollinger, Judy Kruger, Beth Han and Jesse M. Pines. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Econometrics.

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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