D. Lenis
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
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- Quantum chaos and dynamical systems
Papers in
-
- Nuclear physics research studies 21
- Astrophysics and Cosmic Phenomena 7
- Particle Detector Development and Performance 6
- Neutrino Physics Research 6
- Co-authors
- Dennis Bonatsos A (23 shared papers)P. A. Terziev (12 shared papers)D. Petrellis (9 shared papers)N. Minkov (11 shared papers)P. P. Raychev (8 shared papers)I. Yigitoglu (4 shared papers)Katja Bühler (4 shared papers)Jiřı́ Hladůvka (1 shared paper)
In The Last Decade
D. Lenis
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 57
- Nuclear and High Energy Physics 1.2k
- Statistical and Nonlinear Physics 85
- Computer Vision and Pattern Recognition 145
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 79
Countries citing papers authored by D. Lenis
This map shows the geographic impact of D. Lenis'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 D. Lenis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Lenis more than expected).
Fields of papers citing papers by D. Lenis
This network shows the impact of papers produced by D. Lenis. 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 D. Lenis. The network helps show where D. Lenis may publish in the future.
Co-authors
The 21 scholars most cited alongside D. Lenis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 208 | |
| 2 | 2004 | 153 | |
| 3 | 2005 | 100 | |
| 4 | 2011 | 88 | |
| 5 | 2007 | 85 | |
| 6 | 2005 | 81 | |
| 7 | 2004 | 79 | |
| 8 | 2004 | 78 | |
| 9 | 2004 | 78 | |
| 10 | 2005 | 69 | |
| 11 | 2014 | 59 | |
| 12 | 2006 | 51 | |
| 13 | 2004 | 47 | |
| 14 | 2016 | 43 | |
| 15 | 2005 | 39 | |
| 16 | 2009 | 34 | |
| 17 | 2007 | 33 | |
| 18 | 2006 | 23 | |
| 19 | 2012 | 22 | |
| 20 | 2000 | 21 |
About D. Lenis
D. Lenis is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Geometry and Topology and Algebra and Number Theory, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nuclear physics research studies (21 papers), Astrophysics and Cosmic Phenomena (7 papers), Particle Detector Development and Performance (6 papers), Neutrino Physics Research (6 papers), Quantum Mechanics and Non-Hermitian Physics (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Atomic and Molecular Physics (2 papers) and Algebraic structures and combinatorial models (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Statistical and Nonlinear Physics (85 citations), Computer Vision and Pattern Recognition (145 citations), Health Informatics (10 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). D. Lenis has collaborated with scholars based in Greece, Bulgaria and Germany. Frequent co-authors include Dennis Bonatsos A, P. A. Terziev, D. Petrellis, N. Minkov, P. P. Raychev, I. Yigitoglu, Katja Bühler, Jiřı́ Hladůvka, C. Quesne and Elizabeth A. McCutchan. Their work appears in journals such as Physical Review C, Physics Letters B, The European Physical Journal C, Physical Review A and Astroparticle Physics.
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.