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Identifikatsiya

Ishlab chiquvchilar uchun

Ekotizim

Mualliflar

F. de Palma

Soʻnggi maʼlum muassasa:
University of Salento
ORCID:
0000-0001-5898-2834
3
h-indeks
0
i10-indeksi
13
Iqtiboslar
13
Asarlar
Vaqt boʻyicha

Vaqt boʻyicha tahlil

Iqtibos sharhi

Yillar boʻyicha nashrlar (ustun) va iqtiboslar (chiziq)

  • Nashrlar
  • Iqtiboslar
0134503581020222024202520262022: Nashrlar 1, Iqtiboslar 02024: Nashrlar 4, Iqtiboslar 12025: Nashrlar 5, Iqtiboslar 92026: Nashrlar 3, Iqtiboslar 3

Iqtibos tarixi

03581020222024202520262022: Iqtiboslar 02024: Iqtiboslar 12025: Iqtiboslar 92026: Iqtiboslar 3

Nashr tarixi

0134520222024202520262022: Nashrlar 12024: Nashrlar 42025: Nashrlar 52026: Nashrlar 3

h-indeks evolyutsiyasi

Yillar boʻyicha jamlangan h-indeks

0134520222024202520262022: h-indeks 02024: h-indeks 12025: h-indeks 22026: h-indeks 3

Eng koʻp iqtibos qilingan asarlar

  1. Testing hadronic-model predictions of depth of maximum of air-shower profiles and ground-particle signals using hybrid data of the Pierre Auger Observatory20243 iqtibos
  2. Inference of the Mass Composition of Cosmic Rays with Energies from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mn>10</mml:mn><mml:mn>18.5</mml:mn></mml:msup></mml:math> to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mrow><mml:mn>20</mml:mn></mml:mrow></mml:msup><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>eV</mml:mi></mml:mrow></mml:math> Using the Pierre Auger Observatory and Deep Learning20253 iqtibos
  3. Measurement of the depth of maximum of air-shower profiles with energies between <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mn>10</mml:mn><mml:mn>18.5</mml:mn></mml:msup></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mn>10</mml:mn><mml:mn>20</mml:mn></mml:msup><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>eV</mml:mi></mml:math> using the surface detector of the Pierre Auger Observatory and deep learning20253 iqtibos
  4. Large-scale Cosmic-ray Anisotropies with 19 yr of Data from the Pierre Auger Observatory20241 iqtibos
  5. Search for photons above <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mrow><mml:mn>18</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>eV</mml:mi></mml:math> by simultaneously measuring the atmospheric depth and the muon content of air showers at the Pierre Auger Observatory20240 iqtibos
  6. Constraints on metastable superheavy dark matter coupled to sterile neutrinos with the Pierre Auger Observatory20240 iqtibos
  7. Search for the Anomalous Events Detected by ANITA Using the Pierre Auger Observatory20250 iqtibos
  8. The Pierre Auger Observatory open data20250 iqtibos
  9. Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory20250 iqtibos
  10. Search for Ultra-high-energy Neutrons from Galactic Sources with the Pierre Auger Observatory20260 iqtibos

Hammualliflar

Yana 12 ta asar katta kollaboratsiyada (50 dan ortiq muallif) — hammualliflar roʻyxatiga kiritilmagan

Skelet yozuvlar: 1 — katta kollaboratsiyada (50 dan ortiq muallif), hammualliflar roʻyxatiga kiritilmagan

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