🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Efstratios N. Pistikopoulos

ORCID: 0000-0001-6581-509X

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty”.

Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

Computers & Chemical Engineering(2021)10.1016/j.compchemeng.2021.107551
N/A
0.578DataRank · unranked
46 citations

Styliani Avraamidou, Efstratios N. Pistikopoulos, Burcu Beykal

Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling

Computer-aided chemical engineering/Computer aided chemical engineering(2021)10.1016/b978-0-323-88506-5.50076-0
N/A
0.208DataRank · unranked
3 citations

Burcu Beykal, Adam T. Szafran, Fabio Stossi, Lan Zhou, Michael A. Mancini +2 more

Multiobjective Optimization of Mixed-Integer Linear Programming Problems: A Multiparametric Optimization Approach

Industrial & Engineering Chemistry Research(2021)10.1021/acs.iecr.1c01175
N/A
0DataRank · unranked
23 citations

Styliani Avraamidou, Justin Katz, Baris Burnak, Burcu Beykal, Metin Türkay +2 more

Data-driven and safety-aware holistic production planning

Journal of Loss Prevention in the Process Industries(2022)10.1016/j.jlp.2022.104754
N/A
0DataRank · unranked
9 citations

Efstratios N. Pistikopoulos, Christopher Ampofo Kwadwo Gordon

Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization

Computer-aided chemical engineering/Computer aided chemical engineering(2022)10.1016/b978-0-323-95879-0.50035-7
N/A
0DataRank · unranked
9 citations

Nikolaos A. Diangelakis, Efstratios N. Pistikopoulos, Burcu Beykal

Machine learning methods for endocrine disrupting potential identification based on single-cell data

Chemical Engineering Science(2023)10.1016/j.ces.2023.119086
N/A
0DataRank · unranked
9 citations

Adam T. Szafran, Anh Tran, Hari S. Ganesh, Fabio Stossi, Lan Zhou +4 more

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008191
N/A
0DataRank · unranked
15 citations

Burcu Beykal, Adam T. Szafran, Melis Onel, Fabio Stossi, Maureen G. Mancini +6 more

A hybrid statistical and machine learning based forecasting framework for the energy sector

Computers & Chemical Engineering(2024)10.1016/j.compchemeng.2024.108740
N/A
0DataRank · unranked
13 citations

Funda Iseri, Efstratios N. Pistikopoulos, Stefanos G. Baratsas

Integrated Modeling of Transfer Learning and Intelligent Heuristic Optimization for a Steam Cracking Process

Industrial & Engineering Chemistry Research(2020)10.1021/acs.iecr.0c02657
N/A
0DataRank · unranked
21 citations

Burcu Beykal, Styliani Avraamidou, Iosif Pappas, Efstratios N. Pistikopoulos, Tong Qiu +1 more