M. van der Klis

23.1k total citations · 3 hit papers
381 papers, 12.6k citations indexed

About

M. van der Klis is a scholar working on Astronomy and Astrophysics, Geophysics and Nuclear and High Energy Physics. According to data from OpenAlex, M. van der Klis has authored 381 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 352 papers in Astronomy and Astrophysics, 112 papers in Geophysics and 93 papers in Nuclear and High Energy Physics. Recurrent topics in M. van der Klis's work include Astrophysical Phenomena and Observations (318 papers), Pulsars and Gravitational Waves Research (201 papers) and High-pressure geophysics and materials (106 papers). M. van der Klis is often cited by papers focused on Astrophysical Phenomena and Observations (318 papers), Pulsars and Gravitational Waves Research (201 papers) and High-pressure geophysics and materials (106 papers). M. van der Klis collaborates with scholars based in Netherlands, United States and United Kingdom. M. van der Klis's co-authors include R. Wijnands, W. H. G. Lewin, T. Belloni, Mariano Méndez, J. Homan, Dimitrios Psaltis, J. van Paradijs, Adam Ingram, J. M. Mïller and P. G. Jonker and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

M. van der Klis

366 papers receiving 12.1k citations

Hit Papers

Compact Stellar X-ray Sources 2010 2026 2015 2020 2010 2016 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. van der Klis Netherlands 59 12.3k 3.8k 3.5k 1.7k 418 381 12.6k
W. H. G. Lewin United States 47 7.4k 0.6× 2.1k 0.5× 2.1k 0.6× 892 0.5× 365 0.9× 268 7.8k
J. van Paradijs Netherlands 47 7.2k 0.6× 1.6k 0.4× 1.8k 0.5× 569 0.3× 362 0.9× 317 7.4k
Tod E. Strohmayer United States 40 5.7k 0.5× 1.4k 0.4× 2.0k 0.6× 597 0.4× 144 0.3× 183 5.9k
J. H. Swank United States 39 5.5k 0.4× 1.3k 0.4× 1.6k 0.5× 541 0.3× 249 0.6× 247 5.7k
Lars Bildsten United States 53 12.2k 1.0× 1.6k 0.4× 2.3k 0.7× 292 0.2× 355 0.8× 182 12.8k
Deepto Chakrabarty United States 45 6.8k 0.6× 1.1k 0.3× 2.8k 0.8× 539 0.3× 219 0.5× 188 7.0k
J. P. Lasota France 41 5.7k 0.5× 1.6k 0.4× 872 0.2× 454 0.3× 140 0.3× 184 5.9k
F. Haberl Germany 36 5.5k 0.4× 1.7k 0.4× 1.0k 0.3× 384 0.2× 449 1.1× 348 5.6k
M. A. Abramowicz Sweden 44 6.5k 0.5× 2.8k 0.7× 778 0.2× 499 0.3× 89 0.2× 189 6.7k
Dimitrios Psaltis United States 37 4.6k 0.4× 1.6k 0.4× 1.2k 0.4× 353 0.2× 75 0.2× 94 4.7k

Countries citing papers authored by M. van der Klis

Since Specialization
Citations

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

Fields of papers citing papers by M. van der Klis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. van der Klis

This figure shows the co-authorship network connecting the top 25 collaborators of M. van der Klis. A scholar is included among the top collaborators of M. van der Klis 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 M. van der Klis. M. van der Klis 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.
Wang, Jingyi, Erin Kara, J. Homan, et al.. (2024). Highly Coherent Quasiperiodic Oscillations in the “Heartbeat” Black Hole X-Ray Binary IGR J17091–3624. The Astrophysical Journal. 963(2). 118–118. 4 indexed citations
2.
Wang, Jingyi, Erin Kara, Javier A. García, et al.. (2024). The 2022 Outburst of IGR J17091–3624: Connecting the Exotic GRS 1915+105 to Standard Black Hole X-Ray Binaries. The Astrophysical Journal. 963(1). 14–14. 8 indexed citations
3.
Lucchini, Matteo, Jingyi Wang, J. Homan, et al.. (2023). Variability as a Predictor for the Hard-to-soft State Transition in GX 339−4. The Astrophysical Journal. 958(2). 153–153. 6 indexed citations
4.
Lewin, Collin, Erin Kara, Dan Wilkins, et al.. (2022). X-Ray Reverberation Mapping of Ark 564 Using Gaussian Process Regression. The Astrophysical Journal. 939(2). 109–109. 8 indexed citations
5.
Wang, Jingyi, Guglielmo Mastroserio, Erin Kara, et al.. (2021). Disk, Corona, Jet Connection in the Intermediate State of MAXI J1820+070 Revealed by NICER Spectral-timing Analysis. The Astrophysical Journal Letters. 910(1). L3–L3. 55 indexed citations
6.
Huppenkothen, Daniela, George Younes, Adam Ingram, et al.. (2017). DETECTION OF VERY LOW-FREQUENCY, QUASI-PERIODIC OSCILLATIONS IN THE 2015 OUTBURST OF V404 CYGNI. The Astrophysical Journal. 834(1). 90–90. 12 indexed citations
7.
Altamirano, D., T. Belloni, P. Casella, et al.. (2011). IGR J17091-3624 undergoes 'heartbeat' oscillations similar to those of GRS 1915+105. UvA-DARE (University of Amsterdam). 2 indexed citations
8.
Altamirano, D., T. Belloni, H. A. Krimm, et al.. (2011). RXTE observations strengthen the similarities between the black hole candidates IGR J17091-3624 and GRS 1915+105.. UvA-DARE (University of Amsterdam). 3299. 1. 2 indexed citations
9.
Patruno, Alessandro, D. Altamirano, Anna L. Watts, et al.. (2010). Detection of pulsations and identification of SAX J1748.9-2021 as the X-ray transient in NGC 6440.. UvA-DARE (University of Amsterdam). 2407. 1.
10.
Altamirano, D., Anna L. Watts, M. Kalamkar, et al.. (2010). Discovery of 11 Hz burst oscillations from the 11 Hz eclipsing pulsar in Terzan 5. UvA-DARE (University of Amsterdam). 2932. 1. 1 indexed citations
11.
Altamirano, D., D. K. Galloway, J. Chenevez, et al.. (2008). Kilohertz QPOs, spectral state transitions and the distance to the neutron star X-ray transient IGR J17473-2721. UvA-DARE (University of Amsterdam). 1651. 1. 1 indexed citations
12.
Linares, M., Paolo Soleri, P. A. Curran, et al.. (2008). The cooling tail of a long X-ray burst from XTE J1701-407. UvA-DARE (University of Amsterdam). 1618. 1.
13.
Wijnands, R., E. Kuulkers, M. P. Muno, et al.. (2006). Renewed activity of the very faint X-ray transient CXOGC J174535.5-290124 and continued activity of the neutron-star X-ray transient SAX J1747.0-2853. The astronomer's telegram. 892. 1. 1 indexed citations
14.
Lommen, D., et al.. (2005). . UvA-DARE (University of Amsterdam). 5 indexed citations
15.
Götz, D., S. Mereghetti, S. Molkov, et al.. (2005). . UvA-DARE (University of Amsterdam). 17 indexed citations
16.
Schnerr, R. S., Thomas Reerink, M. van der Klis, et al.. (2003). . UvA-DARE (University of Amsterdam). 17 indexed citations
17.
Belloni, T., A. Colombo, J. Homan, S. Campana, & M. van der Klis. (2002). . UvA-DARE (University of Amsterdam). 22 indexed citations
18.
Klis, M. van der. (2000). A Possible Explanation for the Parallel Track Phenomenon in Kilohertz QPOs. UvA-DARE (University of Amsterdam). 32. 1217–1217. 6 indexed citations
19.
Klis, M. van der. (1990). The Z/atoll classification. UvA-DARE (University of Amsterdam). 1. 203–207. 1 indexed citations
20.
Klis, M. van der & J. M. Bonnet-Bidaud. (1982). The cycle-to-cycle variability of Cygnus X-3. UvA-DARE (University of Amsterdam). 50. 129–140. 3 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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