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akaturk Academic measurement

Academician

İHSAN KARABULUT

DOÇENT

ANKARA ÜNİVERSİTESİ FEN FAKÜLTESİ İSTATİSTİK BÖLÜMÜ

  • Ana Dal Fen Bilimleri ve Matematik Temel Alanı
  • Yan Dal İstatistik
Articles 23 YÖKSİS · 18 OpenAlex · 5
Projects 0
Books 1
Proceedings 6

Article counts come from two sources, each shown separately: YÖKSİS (academic declarations) and OpenAlex (open scholarly catalog). Patents and artistic activities are listed under the Works tabs below.

Index quartiles

Scopus (SJR)

0 Total

  • Q1 0
  • Q2 0
  • Q3 0
  • Q4 0

WoS (JCR)

1 Total

  • Q1 0
  • Q2 1
  • Q3 0
  • Q4 0
Other counts
  • YÖKSİS rows 1 Q1 0 Q2 0 Q3 0 Q4 0

TR Index

7 articles

OpenAlex citation percentiles

Top 1% articles 0
Top 10% articles 0
Avg percentile 30.7%
Articles with percentile 6

OpenAlex citation percentile; covered works only (~52%).

What do these indicators mean?
  • Q1–Q4: the quartile of the journal in the given index (Scopus/WoS). Q1 = top 25%, Q4 = bottom 25%.
  • Top 1% / top 10%: number of works among the top 1% or 10% most-cited worldwide in the same field and year.
  • Avg percentile: mean citation percentile of the works (100 = highest).
  • Source: index quartiles from Scopus/WoS and TR Index flags; citation percentiles from OpenAlex.

Proceedings

Conference proceedings recorded in YÖKSİS.

Records

Showing 6 / 6

  1. 2009 Bağımlı gözlemlerle bootstrap yöntemi ıV. İstatistik Günleri Sempozyumu
  2. 2014 Multivariate scan statistics based on multivariate spacings 9. International Statistics Day Symposium
  3. 2011 Ölçüm hatalı basit doğrusal regresyonda bazı tahmin yöntemleri Simülasyon çalışması ve bir uygulama Uluslararası 7. İstatistik Kongresi
  4. 2010 Derinliklere dayalı yüzdelik konturlarının bootstrap yöntemi ile oluşturulması VII. İstatistik Günleri Sempozyumu
  5. 2000 Derinlik çizgileri ve çanta çizitleri Biyoistatistik 2000 5. Ulusal Biyoistatistik Kongresi
  6. 1997 A Bayesian estimation of population size via removal method American Statistical Association 1997 Proceedings of the Section on Bayesian Statistical Science

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