E. van der Swaluw

2.2k total citations
37 papers, 1.2k citations indexed

About

E. van der Swaluw is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Nuclear and High Energy Physics. According to data from OpenAlex, E. van der Swaluw has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 11 papers in Atmospheric Science and 11 papers in Nuclear and High Energy Physics. Recurrent topics in E. van der Swaluw's work include Pulsars and Gravitational Waves Research (16 papers), Gamma-ray bursts and supernovae (11 papers) and Astrophysics and Cosmic Phenomena (11 papers). E. van der Swaluw is often cited by papers focused on Pulsars and Gravitational Waves Research (16 papers), Gamma-ray bursts and supernovae (11 papers) and Astrophysics and Cosmic Phenomena (11 papers). E. van der Swaluw collaborates with scholars based in Netherlands, Ireland and United States. E. van der Swaluw's co-authors include Sybren Drijfhout, A. Achterberg, V. Tatischeff, A. M. Bykov, Y. A. Gallant, Susanne L. Weber, E. Parizot, Alexandre Marcowith, Patrick Slane and B. M. Gaensler and has published in prestigious journals such as The Astrophysical Journal, Journal of Climate and Atmospheric Environment.

In The Last Decade

E. van der Swaluw

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. van der Swaluw Netherlands 22 791 584 306 266 130 37 1.2k
I. Sabbah Kuwait 16 352 0.4× 118 0.2× 208 0.7× 139 0.5× 35 0.3× 46 583
Devendraa Siingh India 20 714 0.9× 31 0.1× 495 1.6× 552 2.1× 42 0.3× 59 1.2k
X. Y. Zhang China 14 97 0.1× 56 0.1× 817 2.7× 653 2.5× 21 0.2× 31 1.1k
R. G. Detmers Netherlands 19 478 0.6× 191 0.3× 402 1.3× 512 1.9× 9 0.1× 29 1.0k
A. Mälkki Finland 11 427 0.5× 31 0.1× 1.4k 4.6× 1.1k 4.1× 34 0.3× 23 1.9k
Zoltán Németh Hungary 18 436 0.6× 35 0.1× 253 0.8× 162 0.6× 8 0.1× 52 775
A. Dal Lago Brazil 21 1.3k 1.7× 115 0.2× 100 0.3× 43 0.2× 67 0.5× 93 1.5k
Tijl Verhoelst Belgium 26 1.2k 1.6× 15 0.0× 401 1.3× 353 1.3× 38 0.3× 59 1.8k
H. C. Chandola India 15 141 0.2× 172 0.3× 532 1.7× 426 1.6× 4 0.0× 50 872
L. B. Callis United States 13 742 0.9× 22 0.0× 566 1.8× 365 1.4× 23 0.2× 30 1.2k

Countries citing papers authored by E. van der Swaluw

Since Specialization
Citations

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

Fields of papers citing papers by E. van der Swaluw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. van der Swaluw. 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 E. van der Swaluw. The network helps show where E. van der Swaluw may publish in the future.

Co-authorship network of co-authors of E. van der Swaluw

This figure shows the co-authorship network connecting the top 25 collaborators of E. van der Swaluw. A scholar is included among the top collaborators of E. van der Swaluw 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 E. van der Swaluw. E. van der Swaluw 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.
Swaluw, E. van der, Ferd Sauter, Roy Wichink Kruit, et al.. (2021). Trend analysis of reduced nitrogen components over the Netherlands with the EMEP4NL and OPS model. Atmospheric Environment. 248. 118183–118183. 10 indexed citations
2.
Velders, Guus J. M., Saskia M. Willers, J. Wesseling, et al.. (2021). Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations. Atmospheric Environment. 247. 118158–118158. 28 indexed citations
3.
Pandolfi, Marco, Dennis Mooibroek, Philip K. Hopke, et al.. (2020). Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites?. Atmospheric chemistry and physics. 20(1). 409–429. 24 indexed citations
4.
Kruit, R.J. Wichink, W. de Vries, Ferd Sauter, et al.. (2017). Modelling trends in ammonia in the Netherlands over the period 1990–2014. Atmospheric Environment. 154. 20–30. 35 indexed citations
5.
Swaluw, E. van der, et al.. (2017). High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling. Atmospheric Environment. 155. 140–153. 6 indexed citations
6.
Swaluw, E. van der, et al.. (2016). Grootschalige concentratie- en depositiekaarten Nederland : Rapportage 2016. Rivm (National Institute for Public Health and the Environment).
7.
Blazek, J., B. M. Gaensler, Shami Chatterjee, et al.. (2006). The Duck Redux: An Improved Proper‐Motion Upper Limit for the Pulsar B1757−24 near the Supernova Remnant G5.4–1.2. The Astrophysical Journal. 652(2). 1523–1530. 8 indexed citations
8.
Swaluw, E. van der, et al.. (2005). Magneto-rotational overstability in accretion disks. Springer Link (Chiba Institute of Technology). 16 indexed citations
9.
Bocchino, F., E. van der Swaluw, Roger A. Chevalier, & R. Bandiera. (2005). The nature of the X-ray halo of the plerion G21.5–0.9 unveiled by XMM-Newton and Chandra. Astronomy and Astrophysics. 442(2). 539–548. 27 indexed citations
10.
Slane, Patrick, et al.. (2004). Chandra Observations of G327.1-1.1: Evidence for a Disrupted PWN. American Astronomical Society Meeting Abstracts. 205. 1 indexed citations
11.
Parizot, E., Alexandre Marcowith, E. van der Swaluw, A. M. Bykov, & V. Tatischeff. (2004). Superbubbles and Energetic Particles in the Galaxy. I: Collective effects of particle acceleration. ArXiv.org. 69 indexed citations
12.
Parizot, E., Alexandre Marcowith, E. van der Swaluw, A. M. Bykov, & V. Tatischeff. (2004). Superbubbles and energetic particles in the Galaxy. Astronomy and Astrophysics. 424(3). 747–760. 101 indexed citations
13.
Swaluw, E. van der & A. Achterberg. (2004). Non-thermal X-ray emission from young supernova remnants. Astronomy and Astrophysics. 421(3). 1021–1030. 5 indexed citations
14.
Swaluw, E. van der, T. P. Downes, & Ronan M. Keegan. (2004). An evolutionary model for pulsar-driven supernova remnants. Astronomy and Astrophysics. 420(3). 937–944. 62 indexed citations
15.
Swaluw, E. van der, A. Achterberg, Y. A. Gallant, T. P. Downes, & Rony Keppens. (2003). Interaction of high-velocity pulsars with supernova remnant shells. Springer Link (Chiba Institute of Technology). 35 indexed citations
17.
Swaluw, E. van der. (2003). Interaction of a magnetized pulsar wind with its surroundings. Astronomy and Astrophysics. 404(3). 939–947. 40 indexed citations
18.
Swaluw, E. van der, A. Achterberg, & Yves Gallant. (2001). Rejuvenating the Shells of Supernova Remnants by Pulsar Winds. CERN Bulletin. 271. 135. 1 indexed citations
19.
Swaluw, E. van der & Yanqin Wu. (2001). Inferring Initial Spin Periods for Neutron Stars in Composite Remnants. The Astrophysical Journal. 555(1). L49–L53. 27 indexed citations
20.
Swaluw, E. van der, A. Achterberg, & Y. A. Gallant. (1998). Hydrodynamical simulations of pulsar wind nebulae in supernova remnants. Memorie della Societa Astronomica Italiana. 69. 1017. 4 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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