M. Erdmann

128.9k total citations · 1 hit paper
96 papers, 2.3k citations indexed

About

M. Erdmann is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, M. Erdmann has authored 96 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 18 papers in Artificial Intelligence and 15 papers in Electrical and Electronic Engineering. Recurrent topics in M. Erdmann's work include Particle physics theoretical and experimental studies (20 papers), Astrophysics and Cosmic Phenomena (20 papers) and Dark Matter and Cosmic Phenomena (14 papers). M. Erdmann is often cited by papers focused on Particle physics theoretical and experimental studies (20 papers), Astrophysics and Cosmic Phenomena (20 papers) and Dark Matter and Cosmic Phenomena (14 papers). M. Erdmann collaborates with scholars based in Germany, United States and Netherlands. M. Erdmann's co-authors include Tomás Lozano‐Pérez, Stefan Decker, Ian Horrocks, Frank van Harmelen, Dieter Fensel, Michel Klein, Jeen Broekstra, Sergey Melnik, Haiping Huang and Ian M. Head and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

M. Erdmann

80 papers receiving 2.1k citations

Hit Papers

Crude-oil biodegradation via methanogenesis in subsurface... 2007 2026 2013 2019 2007 100 200 300 400 500
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.

  1. Crude-oil biodegradation via methanogenesis in subsurface petroleum reservoirs
    2007 543 citations D. M. Jones, Ian M. Head et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Erdmann Germany 19 619 567 352 337 282 96 2.3k
John Smith Australia 28 316 0.5× 252 0.4× 699 2.0× 90 0.3× 168 0.6× 123 3.0k
Chenye Wu China 32 1.6k 2.5× 193 0.3× 374 1.1× 150 0.4× 163 0.6× 201 5.0k
Martin Greiner Germany 31 433 0.7× 168 0.3× 43 0.1× 14 0.0× 222 0.8× 124 4.5k
Zhiwei Yan China 22 219 0.4× 149 0.3× 183 0.5× 118 0.4× 486 1.7× 152 1.7k
Wei‐keng Liao United States 31 35 0.1× 782 1.4× 252 0.7× 636 1.9× 1.4k 5.0× 199 4.5k
Pradip Bose United States 50 11 0.0× 492 0.9× 213 0.6× 521 1.5× 2.4k 8.7× 256 8.2k
Qun Lin China 33 17 0.0× 253 0.4× 798 2.3× 127 0.4× 165 0.6× 184 3.4k
Yongheng Zhao China 28 265 0.4× 266 0.5× 28 0.1× 96 0.3× 69 0.2× 354 4.1k
G. Giftson Samuel India 7 43 0.1× 332 0.6× 136 0.4× 26 0.1× 126 0.4× 23 2.7k
Jiang Bian China 19 62 0.1× 977 1.7× 139 0.4× 112 0.3× 77 0.3× 71 2.2k

Countries citing papers authored by M. Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Erdmann. A scholar is included among the top collaborators of M. Erdmann 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. Erdmann. M. Erdmann 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.
Eich, N., M. Erdmann, P. Fackeldey, et al.. (2023). Fast Columnar Physics Analyses of Terabyte-Scale LHC Data on a Cache-Aware Dask Cluster. 7(1). 1 indexed citations
2.
Benato, L., Erik Buhmann, M. Erdmann, et al.. (2022). Shared Data and Algorithms for Deep Learning in Fundamental Physics. arXiv (Cornell University). 6(1). 10 indexed citations
3.
Wirtz, M., Teresa Bister, & M. Erdmann. (2021). Towards extracting cosmic magnetic field structures from cosmic-ray arrival directions. arXiv (Cornell University). 3 indexed citations
4.
Erdmann, M., et al.. (2020). Environmental impacts of the future supply of rare earths for magnet applications. Journal of Industrial Ecology. 25(4). 1034–1050. 38 indexed citations
5.
Gläser, Christian, S. J. de Jong, M. Erdmann, & J.R. Hörandel. (2018). An analytic description of the radio emission of air showers based on its emission mechanisms. Astroparticle Physics. 104. 64–77. 11 indexed citations
6.
Batista, Rafael Alves, A. Dundovic, M. Erdmann, et al.. (2016). CRPropa 3—a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles. Journal of Cosmology and Astroparticle Physics. 2016(5). 38–38. 154 indexed citations
7.
Batista, Rafael Alves, M. Erdmann, Carmelo Evoli, et al.. (2015). CRPropa: A public framework to propagate UHECRs in the universe. Springer Link (Chiba Institute of Technology). 2 indexed citations
8.
Weidenhaupt, K. & M. Erdmann. (2014). Antenna calibration and energy measurement of ultra high energy cosmic rays with the Auger Engineering Radio Array. RWTH Publications (RWTH Aachen). 1 indexed citations
9.
Ropers, Claus, M. Wenderoth, M. Erdmann, et al.. (2007). Al x Ga 1-x As/GaAs量子井戸の原子スケール構造と発光. Physical Review B. 75(11). 1–115317. 16 indexed citations
10.
Jones, D. M., Ian M. Head, Neil Gray, et al.. (2007). Crude-oil biodegradation via methanogenesis in subsurface petroleum reservoirs. Nature. 451(7175). 176–180. 543 indexed citations breakdown →
11.
Aktas, Å., M. Erdmann, G. Nowak, et al.. (2006). Elastic J/ψ production at HERA. The European Physical Journal C. 46(3). 585–603. 188 indexed citations
12.
Erdmann, M. & David Kaiser. (2005). Inflationary Cosmology: Exploring the Universe from the Smallest to the Largest Scales. Science. 307(5711). 884–890. 55 indexed citations
13.
Larter, Steve, Ian M. Head, Haiping Huang, et al.. (2005). Biodegradation, gas destruction and methane generation in deep subsurface petroleum reservoirs: an overview. Geological Society London Petroleum Geology Conference series. 6(1). 633–639. 64 indexed citations
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15.
16.
Erdmann, M.. (1999). Heraldische Funeralpanegyrik des ukrainischen Barock. Peter Lang D eBooks.
17.
Erdmann, M. & Rudi Studer. (1998). Use-cases and Scenarios for Developing Knowledge-Based Systems. 2 indexed citations
18.
Erdmann, M., Bradley D. Cramer, & Brian Horsfield. (1998). Carbon isotope compositional development of hydrocarbon gases during closed system MSSV pyrolysis of heather and draupne formation source rocks. Chinese Science Bulletin. 43(S1). 37–37. 1 indexed citations
19.
Busza, W., T. Dreyer, & M. Erdmann. (1990). Direct study of the lifetime and acceleration of a coloured nucleon. The European Physical Journal C. 48(1). 167–168. 2 indexed citations
20.
Erdmann, M., et al.. (1952). Siedepunkte der Fettsäuren. Fette Seifen Anstrichmittel. 54(4). 197–201. 10 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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