Academician
UĞUR SATIÇ
Doktor Öğretim Üyesi
Citation impact
Citation counts of the articles matched in OpenAlex, citing publications from Crossref and the Stanford/Elsevier list. Sources are shown separately and never added up.
- i10-index
- 2
- Total citations
- 80 Top 41% in Türkiye
- Per article
- 20.0
- FWCI
- 2.36 1.00 = world average
- World top 1%
- 0
- World top 10%
- 1
Most cited articles
- Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem
- A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem
- Performance Evaluation of Scheduling Policies for the DRCMPSP
How is this computed?
h-index and citations are computed from the citation counts of this academic’s YÖKSİS articles matched in OpenAlex (not Google Scholar, WoS or Scopus). Unmatched articles are not included. h-index on the OpenAlex author profile: 2.
Citing publications Crossref 3 publications citing 4 DOI-bearing articles · 2 Türkiye-affiliated
- 2020 1
- 2025 2
- Dynamic Relief Provision Planning for En Route Refugees: Modeling Probabilistic Movements Using Migration Pull Drivers TR Amirreza Pashapour et al. · Production and Operations Management · 2025
- DOI 10.1080/17509653.2025.2582745 2025 · cites 2 articles of this academic
- Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem TR Ugur Satic et al. · International Journal of Production Research · 2020
Where does this list come from?
Extracted from the reference lists in Crossref’s public March 2026 data file; 20.3% of the file has been processed, so the list may be incomplete. Crossref citations are never added to or compared with the OpenAlex citation counts; the two sources have different coverage.
Works 4
YÖKSİS and OpenAlex records: index distribution, journals published in, a filterable article list and the other output types.
Indexes and citation percentiles
?Other counts
Scopus (SJR)
- YÖKSİS rows 4
WoS (JCR)
- YÖKSİS rows 4
Articles
Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.
Journals with publications
4 journals
Narrow down
Article list
- 2024 A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.1%
- 2024 Optimization of Warehouse Location and Inventory Management for an Industrial Textile Manufacturer Company in Türkiye YÖKSİS OpenAlex 49.8%
- 2020 Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem YÖKSİS SJR Q1 JCR Q1 OpenAlex 88.0%
- 2020 Performance Evaluation of Scheduling Policies for the DRCMPSP YÖKSİS SJR Q3 JCR Q4 OpenAlex 49.4%
Proceedings 3
-
— A Simulation-Based Approximate Dynamic Programming Approach to Dynamic and Stochastic Resource-Constrained Multi-Project Scheduling Problem
-
— AN APPLICATION OF GENETIC ALGORITHM TO MINIMIZE THE TOTAL LOGISTICS COSTS IN AN INDUSTRIAL TEXTILE MANUFACTURER
-
— OPTIMIZATION OF WAREHOUSE LOCATION AND INVENTORY MANAGEMENT FOR AN INDUSTRIAL TEXTILE MANUFACTURER COMPANY IN TÜRKIYE: A MIXED-INTEGER NONLINEAR MODEL
Collaboration network
From the author lists of YÖKSİS publication records. Duplicate records of a work count once; institutions are co-authors’ current YÖKSİS affiliations.
- Co-authors
- 5
- With an akaturk profile
- 1
- Turkish institutions
- 1
- Co-authored works
- %100
Academic co-authors 1
- RUKİYE KAYA Öğretim Görevlisi (ders Vermekle Görevli) · Dicle Üniversitesi 1
National collaboration 1 institutions
- Dicle Üniversitesi 1 works · 1 academics
Other co-authors (incl. international) 4
Christopher Kirkbride 3Peter Jacko 3Tutku Tutkunİrem Nur Nergiz
Authors without an akaturk profile (international researchers, retired or former academics, students, clinicians) are grouped by name spelling; short forms such as “Gulluce M.” join the single full name they match.