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About the database ScholarIQanswers from OpenAlex & ORCID
How has Funda Iseri's publication output changed over time?
ScholarIQpublication output · 2023–2025
Output grew150% over the shown period — from 2 works in 2023 to 5 in 2025.
2
3
5
202320242025
What are the most-cited papers on Funda Iseri?
ScholarIQmost cited works
Next-generation reverse logistics networks of photovoltaic recycling: Perspectives and challenges
Eleftherios Iakovou, Efstratios N. Pistikopoulos, Julien Walzberg, Funda Iseri, Halil Iseri, Natasha J. Chrisandina, Shivam Vedant, Catherine Nkoutche
S5745031. 202433 Citations
AI-based predictive analytics for enhancing data-driven supply chain optimization
Funda Iseri, Halil Iseri, Natasha J. Chrisandina, Eleftherios Iakovou, Efstratios N. Pistikopoulos
Journal of Global Optimization. 202527 CitationsOPEN ACCESS
Improvements for decomposition based methods utilized in the development of multi-scale energy systems
R. Cory Allen, Funda Iseri, C. Doga Demirhan, Iosif Pappas, Efstratios N. Pistikopoulos
Computers & Chemical Engineering. 202319 Citations
Planning strategies in the energy sector: Integrating bayesian neural networks and uncertainty quantification in scenario analysis & optimization
Funda Iseri, Halil Iseri, Harsh Shah, Eleftherios Iakovou, Efstratios N. Pistikopoulos
Computers & Chemical Engineering. 202517 CitationsOPEN ACCESS
A hybrid statistical and machine learning based forecasting framework for the energy sector
Stefanos G. Baratsas, Funda Iseri, Efstratios N. Pistikopoulos
Computers & Chemical Engineering. 202415 CitationsOPEN ACCESS
Related on ScholarIQ
Texas A&M University
Institution
Next-generation reverse logistics networks of photovoltaic recycling: Perspectives and challenges
Paper
AI-based predictive analytics for enhancing data-driven supply chain optimization
Paper
Improvements for decomposition based methods utilized in the development of multi-scale energy systems
Paper
Planning strategies in the energy sector: Integrating bayesian neural networks and uncertainty quantification in scenario analysis & optimization
Paper
A hybrid statistical and machine learning based forecasting framework for the energy sector
Paper