World's Best Scientists 2026 revealed!
Linet Özdamar

Linet Özdamar

D-Index & Metrics

Mathematics

D-Index
30
Citations
6726
World Ranking
3431
National Ranking
27

Engineering and Technology

D-Index
32
Citations
7660
World Ranking
9502
National Ranking
54

Overview

Linet Özdamar is affiliated with Yeditepe University in Turkey. Their research spans multiple areas within engineering and energy, focusing on optimization and renewable energy systems.

Özdamar's published works include studies on integrated energy systems and emergency management. The recent papers reflect contributions across various topics and venues:

  • "Metaheuristics for the stochastic post-disaster debris clearance problem," 2022, IISE Transactions
  • "Renewable energy investment prospects in Turkey's power generation sector," 2020, International Journal of Renewable Energy Technology
  • "Renewable energy investment prospects in Turkey's power generation sector," 2020, International Journal of Renewable Energy Technology

The scientist has collaborated frequently with several co-authors, including:

  • Elifcan Yaşa
  • Nazlı Kavas
  • Görkem Vardar
  • Dilek Tüzün Aksu

Their research is primarily disseminated through these publication venues:

  • International Journal of Renewable Energy Technology
  • IISE Transactions

Özdamar's main fields of study are Engineering, with five publications, and Energy, with three. Within these, the prominent subfields include Electrical and Electronic Engineering, Energy Engineering and Power Technology, Organizational Behavior and Human Resource Management, Ocean Engineering, and Industrial and Manufacturing Engineering.

Key research topics addressed in the work span:

  • Integrated Energy Systems Optimization
  • Hybrid Renewable Energy Systems
  • Facility Location and Emergency Management
  • Evacuation and Crowd Dynamics
  • Vehicle Routing Optimization Methods
  • Electric Power System Optimization
  • Solar Thermal and Photovoltaic Systems

Best Publications

  • Emergency Logistics Planning in Natural Disasters

    Linet Özdamar;Ediz Ekinci;Beste Küçükyazici

  • A dynamic logistics coordination model for evacuation and support in disaster response activities

    Wei Yi;Linet Özdamar

  • An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations

    Gülay Barbarosoğlu;Linet Özdamar;Ahmet Çevik

  • Models, solutions and enabling technologies in humanitarian logistics

    Linet Özdamar;Mustafa Alp Ertem

  • A survey on the resource-constrained project scheduling problem

    Linet Özdamar;Gündüz Ulusoy

  • A hierarchical clustering and routing procedure for large scale disaster relief logistics planning

    Linet Özdamar;Onur Demir

  • A genetic algorithm approach to a general category project scheduling problem

    L. Ozdamar

  • Supply chain redesign in the healthcare industry of Singapore

    Arun Kumar;Linet Ozdamar;Chun Ning Zhang

  • A mathematical model for post-disaster road restoration: Enabling accessibility and evacuation

    Dilek Tuzun Aksu;Linet Ozdamar

  • Procurement performance measurement system in the health care industry.

    Arun Kumar;Linet Ozdamar;Chai Peng Ng

  • Heuristic Performance and Network/Resource Characteristics in Resource-constrained Project Scheduling

    Gündüz Ulusoy;Linet Özdamar

  • Planning helicopter logistics in disaster relief

    Linet Ozdamar

  • A hierarchical planning approach for a production-distribution system

    Linet Ozdamar;Tulin Yazgac

  • Parallel Simulated Annealing Algorithms in Global Optimization

    Esin Onbaşoğlu;Linet Özdamar

  • A local constraint based analysis approach to project scheduling under general resource constraints

    Linet Özdamar;Gündüz Ulusoy

  • Hybrid heuristics for the capacitated lot sizing and loading problem with setup times and overtime decisions

    Linet Özdamar;Şevket İlker Birbil

  • An integrated Lagrangean relaxation-simulated annealing approach to the multi-level multi-item capacitated lot sizing problem

    Linet Özdamar;Gülay Barbarosoglu

  • Greedy Neighborhood Search for Disaster Relief and Evacuation Logistics

    L. Ozdamar;Wei Yi

  • A hierarchical decision support system for production planning (with case study)

    Linet Özdamar;M.Ali Bozyel;S.Ilker Birbil

  • Capacity driven due date settings in make-to-order production systems

    Linet Özdamar;Tülin Yazgaç

Frequent Co-Authors

Gerhard-Wilhelm Weber
Gerhard-Wilhelm Weber Poznań University of Technology
Shaligram Pokharel
Shaligram Pokharel Qatar University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Mathematics degree in the USA opens doors to various related fields and advanced career opportunities. Many students complement their math background with business-oriented degrees to enhance their professional prospects. For those interested in leadership roles, exploring easy online MBA programs can offer a convenient pathway to develop managerial skills while balancing other commitments.

For professionals aiming to specialize further, earning a doctorate can be a vital step. Online options like the online DBA programs provide an affordable way to achieve the highest business credentials without relocating or interrupting a career.

Finance is another common extension of mathematics studies. Students often pursue the cheapest online masters in finance to gain expertise in financial modeling, analysis, and risk management at a reduced cost.

Time-sensitive learners may prefer accelerated programs, making the shortest MBA program online an attractive option to quickly boost credentials and career advancement opportunities. Exploring these flexible and affordable online degrees allows mathematics graduates to tailor their education to fit individual goals and industry demands.

Best Scientists Citing Linet Özdamar

Trending Scientists

Recently Published Articles