Harm Jan Boonstra

868 total citations
23 papers, 517 citations indexed

About

Harm Jan Boonstra is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, Harm Jan Boonstra has authored 23 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 6 papers in Statistical and Nonlinear Physics and 4 papers in Astronomy and Astrophysics. Recurrent topics in Harm Jan Boonstra's work include Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (4 papers) and demographic modeling and climate adaptation (4 papers). Harm Jan Boonstra is often cited by papers focused on Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (4 papers) and demographic modeling and climate adaptation (4 papers). Harm Jan Boonstra collaborates with scholars based in Netherlands, France and Belgium. Harm Jan Boonstra's co-authors include Kostas Skenderis, Paul Townsend, J. F. Arens, Eric Bergshoeff, Tomás Ortı́n, L. Brandsma, M. de Roo, Jan van den Brakel, John A. Michon and Jonathan Jackson and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and Solar Energy.

In The Last Decade

Harm Jan Boonstra

23 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harm Jan Boonstra Netherlands 10 348 273 173 86 23 23 517
Kallol Sen India 9 321 0.9× 145 0.5× 100 0.6× 16 0.2× 65 2.8× 14 388
Alok Kumar India 13 413 1.2× 240 0.9× 170 1.0× 43 0.5× 77 3.3× 52 515
Guido Magnano Italy 9 573 1.6× 590 2.2× 150 0.9× 35 0.4× 17 0.7× 21 691
Chen Lan China 9 125 0.4× 138 0.5× 121 0.7× 51 0.6× 4 0.2× 41 378
Pere Talavera Spain 11 600 1.7× 157 0.6× 59 0.3× 39 0.5× 11 0.5× 17 657
Maïté Dupuis France 9 172 0.5× 108 0.4× 170 1.0× 55 0.6× 20 0.9× 13 277
Mihail Mihailescu United States 8 237 0.7× 170 0.6× 97 0.6× 7 0.1× 22 1.0× 12 310
S. Groote Germany 17 775 2.2× 55 0.2× 44 0.3× 13 0.2× 14 0.6× 81 857
B. G. Sidharth Italy 14 138 0.4× 259 0.9× 449 2.6× 5 0.1× 6 0.3× 113 606
Kalyani Desikan India 9 217 0.6× 261 1.0× 33 0.2× 46 0.5× 78 3.4× 26 400

Countries citing papers authored by Harm Jan Boonstra

Since Specialization
Citations

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

Fields of papers citing papers by Harm Jan Boonstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm Jan Boonstra. 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 Harm Jan Boonstra. The network helps show where Harm Jan Boonstra may publish in the future.

Co-authorship network of co-authors of Harm Jan Boonstra

This figure shows the co-authorship network connecting the top 25 collaborators of Harm Jan Boonstra. A scholar is included among the top collaborators of Harm Jan Boonstra 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 Harm Jan Boonstra. Harm Jan Boonstra 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
1.
Laevens, Benjamin P. M., et al.. (2023). A Markov Chain Monte Carlo approach for the estimation of photovoltaic system parameters. Solar Energy. 265. 112132–112132. 7 indexed citations
2.
Boonstra, Harm Jan & Jan van den Brakel. (2022). Multilevel time-series models for small area estimation at different frequencies and domain levels. The Annals of Applied Statistics. 16(4). 4 indexed citations
3.
Boonstra, Harm Jan, Jan van den Brakel, & Sumonkanti Das. (2021). Multilevel Time Series Modelling of Mobility Trends in the Netherlands for Small Domains. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(3). 985–1007. 10 indexed citations
4.
Boonstra, Harm Jan, et al.. (2019). Estimation of level and change for unemployment using structural time series models. Research Publications (Maastricht University). 45(3). 395–425. 4 indexed citations
5.
Boonstra, Harm Jan, et al.. (2011). Macro‐integration with inequality constraints: an application to the integration of transport and trade statistics. Statistica Neerlandica. 65(4). 407–431. 11 indexed citations
6.
Linders, Gert‐Jan, et al.. (2009). Measuring globalisation: an analysis of transit flows from integrated trade and transport statistics. Data Archiving and Networked Services (DANS). 47–57. 1 indexed citations
7.
Linders, Gert‐Jan, et al.. (2008). Integration of International Trade and Transport Flow Statistics for the Netherlands. 3 indexed citations
8.
Boonstra, Harm Jan, et al.. (2000). Revisiting public funding of abortion for poor women.. PubMed. 1–4. 2 indexed citations
9.
Boonstra, Harm Jan, et al.. (1999). Branes and anti-de Sitter spacetimes. Fortschritte der Physik. 47(1-3). 109–116. 4 indexed citations
10.
Boonstra, Harm Jan, Kostas Skenderis, & Paul Townsend. (1999). The domain-wall/QFT correspondence. Journal of High Energy Physics. 1999(1). 3–3. 181 indexed citations
11.
Boonstra, Harm Jan, et al.. (1998). Brane intersections, anti-de Sitter space-times and dual superconformal theories. Nuclear Physics B. 533(1-3). 127–162. 103 indexed citations
12.
Bergshoeff, Eric, Harm Jan Boonstra, & Tomás Ortı́n. (1996). Sduality and dyonicp-brane solutions in type II string theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 53(12). 7206–7212. 44 indexed citations
13.
Bergshoeff, Eric, Harm Jan Boonstra, & M. de Roo. (1995). On realizing the bosonic string as a noncritical W3-string. Physics Letters B. 346(3-4). 269–274. 2 indexed citations
14.
Bergshoeff, Eric, et al.. (1994). A BRST analysis of W-symmetries. Nuclear Physics B. 411(2-3). 717–744. 9 indexed citations
15.
Bergshoeff, Eric, et al.. (1993). On the BRST operator of W-strings. Physics Letters B. 308(1-2). 34–41. 9 indexed citations
16.
Bergshoeff, Eric, Harm Jan Boonstra, & M. de Roo. (1992). Realisations of W3 symmetry. Physics Letters B. 292(3-4). 307–314. 3 indexed citations
17.
Jackson, Jonathan, et al.. (1986). The effect of depth of processing on temporal judgment tasks. Acta Psychologica. 62(3). 199–210. 19 indexed citations
18.
Boonstra, Harm Jan, et al.. (1960). Infra‐red absorption spectra of alkylthio compounds. Recueil des Travaux Chimiques des Pays-Bas. 79(9). 962–976. 26 indexed citations
19.
Boonstra, Harm Jan & J. F. Arens. (1960). Chemistry of acetylenic ethers XLII: A simplified method for the preparation of acetylenic thioethers; a number of new reactions of these compounds. Recueil des Travaux Chimiques des Pays-Bas. 79(8). 866–887. 31 indexed citations
20.
Boonstra, Harm Jan, et al.. (1959). Chemistry of acetylenic ethers XXXVI. Preparation and properties of some 1‐alkylthio‐1‐alkynes. Recueil des Travaux Chimiques des Pays-Bas. 78(4). 252–264. 33 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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