D. Koschny

5.0k total citations · 1 hit paper
141 papers, 1.6k citations indexed

About

D. Koschny is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, D. Koschny has authored 141 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Astronomy and Astrophysics, 56 papers in Aerospace Engineering and 8 papers in Computational Mechanics. Recurrent topics in D. Koschny's work include Planetary Science and Exploration (99 papers), Astro and Planetary Science (96 papers) and Stellar, planetary, and galactic studies (22 papers). D. Koschny is often cited by papers focused on Planetary Science and Exploration (99 papers), Astro and Planetary Science (96 papers) and Stellar, planetary, and galactic studies (22 papers). D. Koschny collaborates with scholars based in Netherlands, Germany and France. D. Koschny's co-authors include E. Kührt, H. Boehnhardt, Ingo Richter, Karl‐Heinz Glaßmeier, M. Campbell‐Brown, G. Drolshagen, Maria Gritsevich, Björn Poppe, H. U. Keller and L. M. Lara and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

D. Koschny

130 papers receiving 1.5k citations

Hit Papers

The Rosetta Mission: Flying Towards the Origin of the Sol... 2007 2026 2013 2019 2007 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Koschny Netherlands 17 1.4k 319 137 89 77 141 1.6k
Davide Farnocchia United States 23 1.6k 1.1× 272 0.9× 153 1.1× 153 1.7× 54 0.7× 112 1.7k
W. M. Owen United States 20 1.5k 1.1× 487 1.5× 246 1.8× 137 1.5× 115 1.5× 72 1.7k
Mikael Granvik Finland 25 1.6k 1.1× 222 0.7× 177 1.3× 127 1.4× 50 0.6× 109 1.7k
P. W. Chodas United States 27 2.1k 1.5× 397 1.2× 244 1.8× 162 1.8× 83 1.1× 121 2.2k
Sei‐ichiro Watanabe Japan 16 917 0.7× 240 0.8× 85 0.6× 144 1.6× 38 0.5× 58 1.1k
S. P. Synnott United States 23 1.3k 0.9× 493 1.5× 150 1.1× 135 1.5× 107 1.4× 71 1.6k
C. H. Acton United States 12 1.2k 0.8× 495 1.6× 177 1.3× 44 0.5× 97 1.3× 42 1.4k
Daniel Hestroffer France 24 1.9k 1.4× 250 0.8× 213 1.6× 138 1.6× 186 2.4× 107 2.1k
R. Weryk Canada 23 1.6k 1.1× 122 0.4× 243 1.8× 70 0.8× 43 0.6× 71 1.6k
C. Veillet United States 20 1.4k 1.0× 179 0.6× 142 1.0× 61 0.7× 55 0.7× 98 1.7k

Countries citing papers authored by D. Koschny

Since Specialization
Citations

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

Fields of papers citing papers by D. Koschny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Koschny

This figure shows the co-authorship network connecting the top 25 collaborators of D. Koschny. A scholar is included among the top collaborators of D. Koschny 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 D. Koschny. D. Koschny 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.
Fayon, Lucile, D. Koschny, Tomaso R. R. Bontognali, et al.. (2024). Preparation of the ExoMars Mission: Feasibility study and preliminary methods for generating stereoscopic data with the CLose-UP Imager CLUPI. Advances in Space Research. 75(1). 1528–1541.
2.
Koschny, D., et al.. (2023). On the origin of the Southern Delta Aquariids meteor shower. Planetary and Space Science. 232. 105700–105700. 1 indexed citations
3.
Trigo‐Rodríguez, J. M., et al.. (2023). Identifying meteorite droppers among the population of bright ‘sporadic’ bolides imaged by the Spanish Meteor Network during the spring of 2022. Monthly Notices of the Royal Astronomical Society. 520(4). 5173–5182. 11 indexed citations
4.
Luther, R., Sabina D. Raducan, K. Wünnemann, et al.. (2022). Momentum Enhancement during Kinetic Impacts in the Low-intermediate-strength Regime: Benchmarking and Validation of Impact Shock Physics Codes. The Planetary Science Journal. 3(10). 227–227. 9 indexed citations
5.
Xilouris, E. M., A. Z. Bonanos, I. Bellas-Velidis, et al.. (2018). NELIOTA: The wide-field, high-cadence, lunar monitoring system at the prime focus of the Kryoneri telescope. Springer Link (Chiba Institute of Technology). 13 indexed citations
6.
Bonanos, A. Z., Chrysa Avdellidou, A. Liakos, et al.. (2018). NELIOTA: First temperature measurement of lunar impact flashes. Springer Link (Chiba Institute of Technology). 16 indexed citations
7.
Micheli, M., A. Buzzoni, D. Koschny, et al.. (2017). The observing campaign on the deep-space debris WT1190F as a test case for short-warning NEO impacts. Icarus. 304. 4–8. 5 indexed citations
8.
Ott, Torben, Esther Drolshagen, D. Koschny, & Björn Poppe. (2016). PaDe - The particle detection program. 209.
9.
Micheli, M., et al.. (2015). The ESA SSA NEO Coordination Centre contribution to NEO hazard monitoring and observational campaigns. 29. 2249572. 1 indexed citations
10.
Micheli, M., et al.. (2015). NEO follow-up, recovery and precovery campaigns at the ESA NEO Coordination Centre. Proceedings of the International Astronomical Union. 10(S318). 274–281. 4 indexed citations
11.
Hainaut, O., D. Koschny, & M. Micheli. (2014). ESA/ESO collaboration to track potentially threatening near-Earth objects. 197. 1 indexed citations
12.
Koschny, D., et al.. (2014). Phootprint - A Phobos sample return mission study. 40. 4 indexed citations
13.
Koschny, D., Felix Bettonvil, J. Licandro, et al.. (2013). A double-station meteor camera set-up in the Canary Islands – CILBO. SHILAP Revista de lepidopterología. 2(2). 339–348. 10 indexed citations
14.
Koschny, D., Felix Bettonvil, H. G. J. Smit, et al.. (2012). Light Curves from a Permanent Meteor Camera Station in the Canary Islands. 1667. 6140. 1 indexed citations
15.
Vaubaillon, Jérémie, Regina Rudawska, Lucie Maquet, et al.. (2012). The 2011 Draconids Observation Campaign from Airplane and Ground Stations. LPICo. 1667. 6280. 1 indexed citations
16.
Josset, J. L., Francès Westall, J. G. Spray, et al.. (2011). CLUPI, a high-performance imaging system on the roverof the 2018 mission to discover biofabrics on Mars. Open Repository and Bibliography (University of Liège). 2 indexed citations
17.
Dotto, E., M. A. Barucci, Masaaki Yoshikawa, et al.. (2008). Marco Polo: Near Earth Object sample return mission. Open Research Online (The Open University). 12. 102. 1 indexed citations
18.
Koschny, D., M. Di Martino, & J. Oberst. (2004). Meteor observation from space - The Smart Panoramical Optical Sensor (SPOSH). 64–69. 3 indexed citations
19.
Trautner, R., et al.. (2002). ULF-VLF electric field measurements during the 2001 Leonid storm. 500. 161–164. 6 indexed citations
20.
Zender, Joe, et al.. (2002). First results of spectroscopic measurements during the ESA Leonid campaign 2001. 500. 121–125. 1 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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