M. Feickert

7.8k total citations
13 papers, 119 citations indexed

About

M. Feickert is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, M. Feickert has authored 13 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in M. Feickert's work include Particle physics theoretical and experimental studies (6 papers), Distributed and Parallel Computing Systems (4 papers) and Computational Physics and Python Applications (4 papers). M. Feickert is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Distributed and Parallel Computing Systems (4 papers) and Computational Physics and Python Applications (4 papers). M. Feickert collaborates with scholars based in United States, Switzerland and Germany. M. Feickert's co-authors include Benjamin Nachman, L. Heinrich, G. H. Stark, K. Cranmer, H.-P. Dembinski, C. Burr, J. Pivarski, E. Rodrigues, B. Krikler and Nick W. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, arXiv (Cornell University) and The Journal of Open Source Software.

In The Last Decade

M. Feickert

10 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Feickert United States 4 93 28 15 12 11 13 119
Sergei Gleyzer United States 6 62 0.7× 29 1.0× 7 0.5× 6 0.5× 5 0.5× 26 95
V.A. Ilyin Russia 5 106 1.1× 9 0.3× 25 1.7× 8 0.7× 4 0.4× 20 142
F. Canelli Switzerland 7 148 1.6× 69 2.5× 8 0.5× 8 0.7× 3 0.3× 16 169
Sitian Qian China 5 100 1.1× 36 1.3× 11 0.7× 7 0.6× 9 0.8× 14 128
C. Li China 5 89 1.0× 35 1.3× 11 0.7× 7 0.6× 9 0.8× 10 115
D. Bourilkov United States 6 89 1.0× 9 0.3× 20 1.3× 15 1.3× 8 0.7× 26 128
M. Campanelli Switzerland 7 281 3.0× 27 1.0× 3 0.2× 5 0.4× 9 0.8× 15 300
M. Pettee United States 5 58 0.6× 33 1.2× 2 0.1× 4 0.3× 8 0.7× 6 101
K. Zoch Switzerland 4 65 0.7× 24 0.9× 5 0.3× 2 0.2× 3 0.3× 5 78
N. Chernyavskaya Switzerland 6 87 0.9× 53 1.9× 3 0.2× 4 0.3× 7 0.6× 13 112

Countries citing papers authored by M. Feickert

Since Specialization
Citations

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

Fields of papers citing papers by M. Feickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Feickert

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

All Works

13 of 13 papers shown
1.
Feickert, M., et al.. (2024). Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform. SHILAP Revista de lepidopterología. 295. 4035–4035.
2.
Feickert, M., Daniel S. Katz, M. S. Neubauer, E. Sexton-Kennedy, & G. A. Stewart. (2024). Software Citation in HEP: Current State and Recommendations for the Future. SHILAP Revista de lepidopterología. 295. 8017–8017.
3.
Feickert, M., et al.. (2024). Bayesian Methodologies with pyhf. SHILAP Revista de lepidopterología. 295. 6004–6004. 2 indexed citations
4.
Neubauer, M. S., et al.. (2022). Deep Learning for the Matrix Element Method. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 246–246. 1 indexed citations
5.
Dembinski, H.-P., P. Ongmongkolkul, Christoph Deil, et al.. (2021). iminuit: Jupyter-friendly Python interface for C++ MINUIT2. Astrophysics Source Code Library. 1 indexed citations
6.
Dembinski, H.-P., P. Ongmongkolkul, David Menéndez Hurtado, et al.. (2021). scikit-hep/iminuit:. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Feickert, M., et al.. (2021). Distributed statistical inference with pyhf enabled through funcX. SHILAP Revista de lepidopterología. 251. 2070–2070. 3 indexed citations
8.
Feickert, M. & Benjamin Nachman. (2021). A Living Review of Machine Learning for Particle Physics. arXiv (Cornell University). 37 indexed citations
9.
Heinrich, L., M. Feickert, & G. H. Stark. (2021). pyhf: v0.6.3. Zenodo (CERN European Organization for Nuclear Research).
10.
Heinrich, L., M. Feickert, G. H. Stark, & K. Cranmer. (2021). pyhf: pure-Python implementation of HistFactory statistical models. The Journal of Open Source Software. 6(58). 2823–2823. 54 indexed citations
11.
Feickert, M., L. Heinrich, & G. H. Stark. (2020). Likelihood preservation and statistical reproduction of searches for new physics. SHILAP Revista de lepidopterología. 245. 6017–6017. 2 indexed citations
12.
Rodrigues, E., B. Krikler, C. Burr, et al.. (2020). The Scikit HEP Project overview and prospects. SHILAP Revista de lepidopterología. 245. 6028–6028. 17 indexed citations
13.
Dembinski, H.-P., P. Ongmongkolkul, David Menéndez Hurtado, et al.. (2020). scikit-hep/iminuit: v1.5.4. Zenodo (CERN European Organization for Nuclear Research). 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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