D. Rochman

10.1k total citations · 2 hit papers
196 papers, 3.5k citations indexed

About

D. Rochman is a scholar working on Aerospace Engineering, Radiation and Materials Chemistry. According to data from OpenAlex, D. Rochman has authored 196 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Aerospace Engineering, 145 papers in Radiation and 118 papers in Materials Chemistry. Recurrent topics in D. Rochman's work include Nuclear reactor physics and engineering (186 papers), Nuclear Physics and Applications (144 papers) and Nuclear Materials and Properties (96 papers). D. Rochman is often cited by papers focused on Nuclear reactor physics and engineering (186 papers), Nuclear Physics and Applications (144 papers) and Nuclear Materials and Properties (96 papers). D. Rochman collaborates with scholars based in Switzerland, Netherlands and France. D. Rochman's co-authors include A. J. Koning, S.C. van der Marck, H. Ferroukhi, Jean-Christophe Sublet, A. Vasiliev, Michael Fleming, N. Dzysiuk, Henrik Sjöstrand, Mathieu Hursin and Andreas Pautz and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

D. Rochman

185 papers receiving 3.4k citations

Hit Papers

Modern Nuclear Data Evaluation with the TALYS Code System 2012 2026 2016 2021 2012 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Rochman Switzerland 23 2.7k 2.4k 1.7k 1.0k 428 196 3.5k
Naohiko Otuka Austria 19 2.0k 0.8× 2.0k 0.8× 1.2k 0.7× 908 0.9× 459 1.1× 90 2.9k
Keiichi SHIBATA Japan 14 2.8k 1.0× 2.4k 1.0× 1.7k 1.0× 767 0.7× 192 0.4× 86 3.3k
Tokio Fukahori Japan 21 2.0k 0.7× 2.0k 0.8× 1.2k 0.7× 931 0.9× 232 0.5× 85 3.1k
Takaaki Ohsawa Japan 13 2.6k 1.0× 2.2k 0.9× 1.7k 1.0× 643 0.6× 119 0.3× 48 3.0k
Tsuneo NAKAGAWA Japan 13 2.6k 1.0× 2.2k 0.9× 1.7k 1.0× 647 0.6× 130 0.3× 50 3.0k
Satoshi Kunieda Japan 12 1.8k 0.7× 1.6k 0.7× 980 0.6× 607 0.6× 118 0.3× 72 2.1k
S.C. van der Marck Netherlands 25 1.0k 0.4× 1.0k 0.4× 777 0.5× 675 0.7× 196 0.5× 60 2.1k
Atsushi ZUKERAN Japan 9 2.4k 0.9× 2.0k 0.8× 1.6k 1.0× 544 0.5× 118 0.3× 20 2.8k
J. Katakura Japan 16 1.6k 0.6× 1.5k 0.6× 959 0.6× 866 0.8× 110 0.3× 80 2.4k
Hiroyuki Matsunobu Japan 11 2.5k 0.9× 2.1k 0.9× 1.6k 1.0× 583 0.6× 121 0.3× 20 2.9k

Countries citing papers authored by D. Rochman

Since Specialization
Citations

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

Fields of papers citing papers by D. Rochman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rochman. A scholar is included among the top collaborators of D. Rochman 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. Rochman. D. Rochman 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.
Rochman, D., et al.. (2025). Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification. Journal of Applied Statistics. 52(15). 2799–2835.
2.
Pelloni, S. & D. Rochman. (2025). Adjusting JEFF-3.3 actinide data using a new, dedicated methodology for selecting suited assimilation database parameters. Annals of Nuclear Energy. 215. 111246–111246.
3.
Adelmann, Andreas, et al.. (2024). Uncertainty quantification of spent nuclear fuel with multifidelity Monte Carlo. Annals of Nuclear Energy. 211. 110892–110892. 1 indexed citations
4.
Pelloni, S. & D. Rochman. (2024). Adjusting aluminum elastic scattering data from the TALYS nuclear reaction code based upon fast criticalities. Annals of Nuclear Energy. 211. 111000–111000.
5.
Rochman, D., A. J. Koning, S. Goriely, & S. Hilaire. (2024). TENDL-astro: A new nuclear data set for astrophysics interest. Nuclear Physics A. 1053. 122951–122951. 4 indexed citations
6.
Rochman, D., et al.. (2024). Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification. SHILAP Revista de lepidopterología. 302. 7016–7016.
7.
Vasiliev, A., H. Ferroukhi, M. Pecchia, et al.. (2024). Revision of PSI calculation capabilities and validation experience on the BEPU-type reactor dosimetry applications. SHILAP Revista de lepidopterología. 308. 3011–3011.
9.
Rochman, D., A. J. Koning, S. Goriely, & S. Hilaire. (2024). What to expect from microscopic nuclear modelling for keff calculations?. Nuclear Physics A. 1054. 122979–122979. 1 indexed citations
10.
Rochman, D., et al.. (2023). TENDL-based evaluation and adjustment of p+111Cd between 1 and 100 MeV. Applied Radiation and Isotopes. 198. 110832–110832. 2 indexed citations
11.
Rochman, D., Ron Dagan, Luca Fiorito, et al.. (2023). On the estimation of nuclide inventory and decay heat: a review from the EURAD European project. SHILAP Revista de lepidopterología. 9. 14–14. 10 indexed citations
12.
Rochman, D., A. J. Koning, & S. Goriely. (2023). Covariances from model variation: Application to quantities for astrophysics. SHILAP Revista de lepidopterología. 281. 5–5. 3 indexed citations
13.
Rochman, D., et al.. (2023). Analyses of the bias and uncertainty of SNF decay heat calculations using Polaris and ORIGEN. Frontiers in Energy Research. 11. 3 indexed citations
14.
Sublet, Jean-Christophe, et al.. (2022). An Iron Evaluation Story: From TALYS Model Parameters to Validation on the ASPIS Benchmark with the Monte Carlo Code TRIPOLI-4®. DORA PSI (Paul Scherrer Institute). 1361–1370. 1 indexed citations
15.
Vasiliev, A., D. Rochman, John D. Bess, et al.. (2022). The OECD/NEA Working Party on Nuclear Criticality Safety: Recent Outcome, Work in Progress and Outlook. 696–705. 1 indexed citations
16.
Simakov, S.P., U. Fischer, A. J. Koning, A.Yu. Konobeyev, & D. Rochman. (2018). Iron NRT- and arc-displacement cross sections and their covariances. Nuclear Materials and Energy. 15. 244–248. 11 indexed citations
17.
Helgesson, Petter, Henrik Sjöstrand, A. J. Koning, et al.. (2016). Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances. Progress in Nuclear Energy. 96. 76–96. 21 indexed citations
18.
Rochman, D., et al.. (2009). On the evaluation of 23Na neutron-induced reactions and validations. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 612(2). 374–387. 14 indexed citations
19.
Herman, M., S.F. Mughabghab, P. Obložinský, et al.. (2007). EMPIRE ultimate expansion: resonances and covariances. 1 indexed citations
20.
Ethvignot, T., M. Devlin, H. Duarte, et al.. (2005). Neutron Multiplicity in the Fission ofU238andU235with Neutrons up to 200 MeV. Physical Review Letters. 94(5). 52701–52701. 30 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026