Next Article in Journal
A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance
Previous Article in Journal
Trend Lines and Japanese Candlesticks Applied to the Forecasting of Wind Speed Data Series
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Acknowledgment to the Reviewers of Forecasting in 2021

MDPI AG, St. Alban-Anlage 66, 4052 Basel, Switzerland
Forecasting 2022, 4(1), 182-183; https://doi.org/10.3390/forecast4010010
Published: 29 January 2022
Rigorous peer reviews are the basis of high-quality academic publishing. Due to the great efforts of our reviewers, Forecasting was able to maintain its standards for the high quality of its published papers. Due to the contributions of our reviewers, in 2021 the median time to a first decision was 16 days, and the median time to publication was 42.5 days. The Editors wish to extend their gratitude and recognition to the following reviewers for their precious time and dedication, regardless of whether the papers they reviewed were finally published:
Abolghasemi, MahdiLuning, Sebastian
Aguilar, Marcus F.Malik, Hasmat
Alfian, GanjarMărgărint, Mihai Ciprian
Alkalbani, AsmaMassidda, Luca
Arévalo, María Isabel ParraMazurencu-Marinescu-Pele, Miruna
Banaś, JanMel, Riccardo
Barigou, KarimMichiorri, Andrea
Barrow, Devon K.Miszczak, Jarek
Bathrellos, GeorgeMöhrlen, Corinna
Blas, Clara Simon deMoon, Jihoon
Bono, RobertoMottola, Fabio
Brandusoiu, IonutNavarra, Carlo
Bronders, JanNemes, Ciprian
Calif, RudyNeupane, Arjun
Cardona, José RamónOnkal, Dilek
Carl, EllenOreshkin, Boris N
Cervantes, Pedro A. MartinOsińska, Magdalena
Chasparis, GeorgiosPapavasileiou, George
Chau, Kwok-wingPark, Sungwoo
Cheng, William Y. Y.Parla, Fabio
Chintalapudi, NaliniPavlyuk, Dmitry
Chung, KyungyongPawar, Shrikant
Čižmešija, MirjanaPensado, Osvaldo
Egrioglu, ErolPerakovič, Dragan
Elsisi, M.Pereira, Isabel
Etxeberria, JaionePetroșanu, Dana-Mihaela
Fadda, EdoardoPiotrowski, Paweł
Ferrante, AlbertoPodila, Pradeep
Fianu, Emmanuel SenyoPonomarev, Eugene
Fidalgo, José NunoPopkov, Alexey Yu.
García, Ana SaloméQuilty, John M.
Gatti, FilippoRabaev, Irina
Ghoreishi, Seyede FatemehRaj, Sunny
Ghosh, AritraRasheed, Muhammad
Giudici, PaoloRausch, Alexandra
Górecki, TomaszRedlarski, Grzegorz
Greis, Noel P.Reggiani, Paolo
Grossmann, KatjaRoccetti, Marco
Guarnera, LucaRoux, Hélène
Guharay, SabyasachiRubaszek, Michał
Guidolin, MassimoRusek, Krzysztof
Haider, AzadSaber, Ali
Havenith, Hans-BalderSantosh, K. C.
Heinisch, KatjaShi, Xiaoming
Heydari, AzimSimionescu, Mihaela
Hori, MaiyaSmeral, Egon
Hur, JinSnarska, Małgorzata
Jamil, FaisalSokołowski, Andrzej
Jie, DouSriram, Lalitha Madhavi Konila
Jureviciene, DaivaStankova, Elena
Kapsalis, Vasilios C.Šutienė, Kristina
Karimi, MazaherSzafranek, Karol
Katris, ChristosTan, Chang Wei
Kawamoto, KazuhikoTrapero, Juan Ramón
Kayad, AhmedTyshchenko, Oleksii
Kezunovic, MladenUbelmann, Clement
Kijko, AndrzejVenetis, Ioannis
Kim, MinhoWalther, Jessica
Kowalewska-Kalkowska, HalinaWilms, Ines
Kröker, IljaWołk, Krzysztof
Kunst, Robert M.Wunderlich, Fabian
Kunze, FrederikZiel, Florian
Loperfido, NicolaZobbi, Mohammed Al
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Forecasting Editorial Office. Acknowledgment to the Reviewers of Forecasting in 2021. Forecasting 2022, 4, 182-183. https://doi.org/10.3390/forecast4010010

AMA Style

Forecasting Editorial Office. Acknowledgment to the Reviewers of Forecasting in 2021. Forecasting. 2022; 4(1):182-183. https://doi.org/10.3390/forecast4010010

Chicago/Turabian Style

Forecasting Editorial Office. 2022. "Acknowledgment to the Reviewers of Forecasting in 2021" Forecasting 4, no. 1: 182-183. https://doi.org/10.3390/forecast4010010

Article Metrics

Back to TopTop