Michelle Kuchera

601 citations
16 papers · 286 indexed · 1 hit paper · h-index 9
Topics
Nuclear Physics and Applications (6 papers)Nuclear physics research studies (6 papers)Particle physics theoretical and experimental studies (5 papers)
Journals
SHILAP Revista de lepidopterologíaReviews of Modern PhysicsThe Astrophysical Journal
Partner nations
United StatesChinaNorway

In The Last Decade

Michelle Kuchera

16 papers receiving 282 citations

Hit Papers

Colloquium: Machine learning in nuclear physics202220262023202420224080120

Peers

Michelle Kuchera
Comparison fields: 5 of 54
  • Nuclear and High Energy Physics 202
  • Radiation 103
  • Aerospace Engineering 64
  • Atomic and Molecular Physics, and Optics 28
  • Artificial Intelligence 26
Replace C. Fanelli with:
C. Fanelli United States
A. Boehnlein United States
S. Kwak Germany
Markus Diefenthaler United States
Jie Pu China
Yong-Jing Chen China
A. W. P. Poon United States
F. Belli Italy
Y. A. Chao United States
Serkan Akkoyun Türkiye
Michelle Kuchera relative to C. Fanelli United States C. Fanelli's profile →
Citations per field
00.5×1.5×2.0×
C. Fanelli · 1×
Citations per year

Countries citing papers authored by Michelle Kuchera

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Kuchera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Kuchera

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 8
3
Colloquium: Machine learning in nuclear physicsbreakdown →
140
4 10
5 5
6 1
7 27
8 3
9 7
10 14
11 3
12 19
13 23
14 8
15 7
16 10

About Michelle Kuchera

Michelle Kuchera is a scholar working on Nuclear and High Energy Physics, Radiation and Instrumentation, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Nuclear Physics and Applications (6 papers), Nuclear physics research studies (6 papers) and Particle physics theoretical and experimental studies (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (202 citations), Radiation (103 citations) and Aerospace Engineering (64 citations). Michelle Kuchera has collaborated with scholars based in United States, China and Norway. Frequent co-authors include D. Bazin, N. Sato, A. Boehnlein, W. Nazarewicz, P. N. Ostroumov, Markus Diefenthaler, Kostas Orginos, M. S. Smith, T. Horn and Xin-Nian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Reviews of Modern Physics and The Astrophysical Journal.

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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