Stefan M. Wild

6.6k total citations · 3 hit papers
132 papers, 3.6k citations indexed

About

Stefan M. Wild is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Nuclear and High Energy Physics. According to data from OpenAlex, Stefan M. Wild has authored 132 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 21 papers in Nuclear and High Energy Physics. Recurrent topics in Stefan M. Wild's work include Nuclear physics research studies (17 papers), Advanced Optimization Algorithms Research (13 papers) and Advanced X-ray Imaging Techniques (11 papers). Stefan M. Wild is often cited by papers focused on Nuclear physics research studies (17 papers), Advanced Optimization Algorithms Research (13 papers) and Advanced X-ray Imaging Techniques (11 papers). Stefan M. Wild collaborates with scholars based in United States, Germany and Poland. Stefan M. Wild's co-authors include Jorge J. Morè, J. Sarich, W. Nazarewicz, N. Schunck, Christine A. Shoemaker, M. Kortelainen, M. V. Stoitsov, Rommel G. Regis, Jordan McDonnell and Prasanna Balaprakash and has published in prestigious journals such as Physical Review Letters, Technometrics and Journal of Computational Physics.

In The Last Decade

Stefan M. Wild

123 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Benchmarking Derivative-Free Optimization Algorithms

2009 381 citations Stefan M. Wild et al. profile →
Nuclear energy density optimization

2010 357 citations W. Nazarewicz, J. Sarich et al. profile →
Nuclear energy density optimization: Large deformations

2012 305 citations Jordan McDonnell, W. Nazarewicz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan M. Wild United States	26	1.3k	706	683	532	384	132	3.6k
Greet Vanden Berghe Belgium	36	439 0.3×	287 0.4×	394 0.6×	465 0.9×	350 0.9×	251	4.7k
Carl Hammer United States	9	638 0.5×	732 1.0×	693 1.0×	1.4k 2.7×	593 1.5×	63	7.8k
Robert H. Romer United States	17	607 0.5×	274 0.4×	398 0.6×	2.0k 3.9×	246 0.6×	69	7.2k
Ian H. Sloan Australia	47	535 0.4×	1.4k 2.0×	244 0.4×	1.7k 3.2×	3.9k 10.3×	266	7.8k
Robert M. Corless Canada	25	271 0.2×	955 1.4×	547 0.8×	545 1.0×	605 1.6×	133	6.5k
Hong Qin United States	30	1.9k 1.4×	401 0.6×	211 0.3×	776 1.5×	508 1.3×	304	3.7k
Ronald F. Boisvert United States	24	340 0.3×	392 0.6×	337 0.5×	972 1.8×	341 0.9×	68	4.7k
Wilhelm Magnus United States	20	680 0.5×	1.0k 1.4×	685 1.0×	2.4k 4.4×	504 1.3×	42	8.0k
Harry R. Lewis United States	31	694 0.5×	612 0.9×	1.3k 1.9×	2.7k 5.0×	203 0.5×	128	5.1k
Daniel W. Lozier United States	10	349 0.3×	302 0.4×	213 0.3×	910 1.7×	256 0.7×	30	3.8k

Countries citing papers authored by Stefan M. Wild

Since Specialization

Citations

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

Fields of papers citing papers by Stefan M. Wild

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan M. Wild. 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 Stefan M. Wild. The network helps show where Stefan M. Wild may publish in the future.

Co-authorship network of co-authors of Stefan M. Wild

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan M. Wild. A scholar is included among the top collaborators of Stefan M. Wild 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 Stefan M. Wild. Stefan M. Wild is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Larson, Jeffrey, et al.. (2025). A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm. 20–30.

Reinhard, P.‐G., Jared O’Neal, Stefan M. Wild, & W. Nazarewicz. (2024). Extended Fayans energy density functional: optimization and analysis. Journal of Physics G Nuclear and Particle Physics. 51(10). 105101–105101.

Wild, Stefan M., et al.. (2023). ParMOO: A Python library for parallel multiobjectivesimulation optimization. The Journal of Open Source Software. 8(82). 4468–4468. 4 indexed citations

Chan, M., Matthew Plumlee, & Stefan M. Wild. (2023). Constructing a Simulation Surrogate with Partially Observed Output. Technometrics. 66(1). 1–13. 5 indexed citations

Hudson, Stephen D., et al.. (2023). libEnsemble: A complete Python toolkit for dynamicensembles of calculations. The Journal of Open Source Software. 8(92). 6031–6031. 3 indexed citations

Pedro, K., et al.. (2023). DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Machine Learning Science and Technology. 4(2). 25013–25013. 8 indexed citations

Wild, Stefan M., et al.. (2023). Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization. Mathematical Programming Computation. 15(2). 327–364. 5 indexed citations

Snyder, Gregory F., Javier Sánchez, Gabriel Perdue, et al.. (2022). DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Machine Learning Science and Technology. 3(3). 35007–35007. 14 indexed citations

Phillips, Daniel R., R. J. Furnstahl, Ulrich Heinz, et al.. (2021). Get on the BAND Wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics. Journal of Physics G Nuclear and Particle Physics. 48(7). 72001–72001. 61 indexed citations

10.

Clark, Aurora E., Henry Adams, Rigoberto Hernandez, et al.. (2021). The Middle Science: Traversing Scale In Complex Many-Body Systems. ACS Central Science. 7(8). 1271–1287. 18 indexed citations

11.

Menickelly, Matt, et al.. (2020). Optimization and supervised machine learning methods for fitting numerical physics models without derivatives ^*. Journal of Physics G Nuclear and Particle Physics. 48(2). 24001–24001. 9 indexed citations

12.

Wild, Stefan M.. (2019). Zwischen globalem Erinnerungsdiskurs und regionaler Perspektive. Der deutsche Nationalsozialismus in den Debatten arabischer Intellektueller seit dem Ende des Kalten Krieges, written by Frank Schellenberg, 2018. Die Welt des Islams. 59(2). 244–246.

13.

Mak, Rachel, Stefan M. Wild, & Chris Jacobsen. (2016). Non-negative matrix analysis in x-ray spectromicroscopy: Choosing regularizers. AIP conference proceedings. 1696. 20034–20034. 1 indexed citations

14.

Digabel, Sébastien Le & Stefan M. Wild. (2015). A Taxonomy of Constraints in Simulation-Based Optimization. PolyPublie (École Polytechnique de Montréal). 1–18. 5 indexed citations

15.

McDonnell, Jordan, N. Schunck, David Higdon, et al.. (2015). Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements. Physical Review Letters. 114(12). 122501–122501. 89 indexed citations

16.

McDonnell, Jordan, N. Schunck, W. Nazarewicz, et al.. (2014). Uncertainty Quantification for Nuclear Density Functional Theory. Bulletin of the American Physical Society. 2014. 2 indexed citations

17.

Gramacy, Robert B., Genetha A. Gray, Sébastien Le Digabel, et al.. (2014). Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization. PolyPublie (École Polytechnique de Montréal). 7 indexed citations

18.

Wild, Stefan M., et al.. (2001). Akten des 27. Deutschen Orientalistentages (Bonn-28. September bis 2. Oktober 1998) : Norm und Abweichung. 3 indexed citations

19.

Wild, Stefan M., et al.. (1996). An integrated computer model for time and cost optimisation. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 3 indexed citations

20.

Wild, Stefan M.. (1965). Das Kitāb al-ʿain und die arabische Lexikographie. 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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