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Prof. Dr. GÖKHAN BARIŞ BAĞCI



  • Yöksis ID 57546
  • Researcher ID
  • ORCID ID 0000-0002-0555-9781
  • Scopus ID 13807733200
  • Scholar ID qtlo8AEAAAAJ
  • E-posta gbagci@mersin.edu.tr
  • Dahili Telefon +90 324 361 00 01 - 14551, 14551

Birim

FEN FAKÜLTESİ
FİZİK BÖLÜMÜ
ATOM VE MOLEKÜL FİZİĞİ ANABİLİM DALI

ÜAK Temel Alan Bilgisi

Fen Bilimleri ve Matematik Temel Alanı
Fizik
Matematiksel Fizik, Yoğun Madde Fiziği, İstatistik Fizik

27

MAKALE

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0

BİLDİRİ

Detay

3

PROJE

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2

TEZ DANIŞMANLIK

Detay

Son 5 Makale

Predicting annus mirabilis with machine learning: Turkish movie industry
MULTIMEDIA TOOLS AND APPLICATIONS, vol. 83, no. 6, pp. 17357–17372 Link 2023
The q-exponentials do not maximize the Renyi entropy
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, vol. 578, no. , pp. 126126– Link 2021
Renyi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data
PHYSICAL REVIEW E, vol. 99, no. 3, pp. – Link 2019
Reply to "Comment on 'Renyi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data'"
PHYSICAL REVIEW E, vol. 100, no. 2, pp. – Link 2019
The parameter space and third law of thermodynamics for the Borges-Roditi, Abe and Sharma-Mittal entropies
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, vol. 32, no. 24, pp. 1850274– Link 2018

Son 5 Bildiri