M. Hirsch

9.4k total citations
206 papers, 5.6k citations indexed

About

M. Hirsch is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computational Theory and Mathematics. According to data from OpenAlex, M. Hirsch has authored 206 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Nuclear and High Energy Physics, 13 papers in Astronomy and Astrophysics and 12 papers in Computational Theory and Mathematics. Recurrent topics in M. Hirsch's work include Particle physics theoretical and experimental studies (162 papers), Neutrino Physics Research (146 papers) and Dark Matter and Cosmic Phenomena (83 papers). M. Hirsch is often cited by papers focused on Particle physics theoretical and experimental studies (162 papers), Neutrino Physics Research (146 papers) and Dark Matter and Cosmic Phenomena (83 papers). M. Hirsch collaborates with scholars based in Spain, Germany and Chile. M. Hirsch's co-authors include H. V. Klapdor‐Kleingrothaus, J. W. F. Valle, W. Porod, Jorge C. Romão, Juan Carlos Helo, Heinrich Päs, K. Muto, S.G. Kovalenko, S. G. Kovalenko and A. Villanova del Moral and has published in prestigious journals such as Physical Review Letters, Physics Reports and Nuclear Physics B.

In The Last Decade

M. Hirsch

200 papers receiving 5.5k citations

Peers

M. Hirsch
Comparison fields: 5 of 76
  • Nuclear and High Energy Physics 5.3k
  • Astronomy and Astrophysics 573
  • Atomic and Molecular Physics, and Optics 170
  • Artificial Intelligence 124
  • Radiation 121
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Citations per field, relative to M. Hirsch
M. Hirsch · 1×
Citations per year, relative to M. Hirsch
M. Hirsch · 1×

Countries citing papers authored by M. Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by M. Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hirsch. A scholar is included among the top collaborators of M. Hirsch 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. Hirsch. M. Hirsch 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
# Work Indexed citations
1 1
2 4
3 5
4 2
5 2
6 18
7 9
8 0
9 6
10 22
11 11
12 27
13 59
14 58
15 18
16 8
17
RECONFIGURATION OF EMBEDDED SYSTEMS
2
18
Scenario-Based Verification of Automotive Software Systems.
2
19
Minimal supergravity threshold effects on the tri-bimaximal neutrino mixing pattern
1
20
Discriminating Neutrino Mass Models
2

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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