D. Su

14.1k citations
75 papers · 4k · 2 hit papers · h-index 32

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Black Holes and Theoretical Physics
    • Cosmology and Gravitation Theories

Papers in

D. Su

74 papers receiving 3.4k citations

D. Su's Hit Papers

Performance of pile-up mitigation techniques for jets in $$pp$$ p p collisions at $$\sqrt{s}=8$$ s = 8 TeV using the ATLAS detector 2016 · 362 citations
3620+4+8Years since publication100200300

Peers

D. Su
Comparison fields: 5 of 40
  • Nuclear and High Energy Physics 3.9k
  • Astronomy and Astrophysics 31
  • Information Systems and Management 10
  • Statistical and Nonlinear Physics 9
  • Computer Networks and Communications 9
Replace T. A. Beermann with:
T. A. Beermann France
D. Tsionou France
Y. Ma France
V. Chernyatin France
R. Yoosoofmiya France
R. Di Sipio France
C. Bock France
Souad Batlamous Switzerland
M. Ugland Switzerland
V. Smakhtin France
D. Su relative to T. A. Beermann France T. A. Beermann's profile →
Citations per field
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T. A. Beermann · 1×
Citations per year

Countries citing papers authored by D. Su

Since Specialization
Citations

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

Fields of papers citing papers by D. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance of pile-up mitigation techniques for jets in $$pp$$ p p collisions at $$\sqrt{s}=8$$ s = 8 TeV using the ATLAS detector
Hit paper breakdown →
2016362
2
Evidence for the spin-0 nature of the Higgs boson using ATLAS data
Hit paper breakdown →
2013357
3 2016242
4 2011236
5 2013187
6 2015177
7 2011140
8 2020110
9 2011105
10 2005104
11 201380
12 202178
13 201468
14 201668
15 201868
16 201467
17 201867
18 201566
19 202163
20 202061

About D. Su

D. Su is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 75 papers that have together received 4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (67 papers), High-Energy Particle Collisions Research (7 papers), Particle Detector Development and Performance (5 papers) and Quantum Chromodynamics and Particle Interactions (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.9k citations), Astronomy and Astrophysics (31 citations), Information Systems and Management (10 citations), Statistical and Nonlinear Physics (9 citations) and Computer Networks and Communications (9 citations). D. Su has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as Physics Letters B, Journal of High Energy Physics, The European Physical Journal C, Physical review. D and Nuclear Physics B.

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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