Acknowledgment to the Reviewers of Analytics in 2022

Analytics Editorial Office,

doi:10.3390/analytics2010005

Open AccessEditorial

Acknowledgment to the Reviewers of Analytics in 2022

by

Analytics Editorial Office

MDPI AG, St. Alban-Anlage 66, 4052 Basel, Switzerland

Analytics 2023, 2(1), 75-76; https://doi.org/10.3390/analytics2010005

Published: 18 January 2023

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High-quality academic publishing is built on rigorous peer review. Analytics was able to uphold its high standards for published papers due to the outstanding efforts of our reviewers. Thanks to the efforts of our reviewers in 2022, the median time to first decision was 22 days and the median time to publication was 53.5 days. Regardless of whether the articles they examined were ultimately published, the editors would like to express their appreciation and thank the following reviewers for the time and dedication that they have shown Analytics:

Abuhelou, Mamoun	Lu, Hangwei
Ali, Mohamed	Majewski, Janusz
Anita, Agárdi	Mandal, Rahul Shubhra
Ashraf, Imran	Manoharan, Hariprasath
Bocu, Razvan	Martínez-Flórez, Guillermo
Borglund, Erik	Martino, Luca
Cambria, Erik	Maryada, Sai Kiran Reddy
Carmona Benítez, Rafael Bernardo	Mehedi Shamrat, Javed
Cauteruccio, Francesco	Mohammadzadeh, Ardashir
Cojocar, Grigoreta-Sofia	Moraffah, Bahman
Drezewski, Rafal	Moura, Ralf
Du, Mingjing	Mukherjee, Amrit
Fadaei, Sadegh	Necula, Sabina
Fajarda, Olga	Nguyen, Van Chien
Fetaji, Bekim	Nieminen, Pentti
Fidanova, Stefka	Nowakowski, Tomasz
Fugazza, Cristiano	Okazaki, Shinichiro
Garigliotti, Darío	Osińska, Magdalena
Ghahramani, Mohammadhossein	Osintsev, Nikita
Grabusts, Peter	Parlett, Chelsea
Grimm, Kevin J.	Pato, Matilde
Guchhait, Rekha	Peng, Qingjin
Gude, Vinayaka	Pokoradi, Laszlo
Guercio, Mariella	Qin, Zhou
Guirao, Juan Garcıa	Rakhmangulov, Aleksandr
Gunasekaran, N.	Rashid, Tarik
Guo, Huijun	Ribeiro, Fernanda
Hajilee, Massomeh	Robitzsch, Alexander
Havrysh, Bogdana	Rohani, Abbas
Hladek, Daniel	Santos, Rui
Hossain, Mohammad Amazad	Sarkar, Mitali
Ilya, Jackson	Sheela, K Gnana
Jaber, Alaa Abdulhady	Singh, Urminder
Jin, Di	Sokolova, Olga
Joshi, Santosh	Stanley Raj, A.
Kabir, Md. Humayun	Suleman, Nasiru
Kanavos, Andreas	Tsagkanos, Athanasios
Kern, Josipa	Tsoulos, Ioannis
Khanh, Quy	Valencio, Carlos Roberto
Kim, Jong-Min	Yanuar, Ferra
Kolev, Mikhail	Zazzaro, Gaetano
Komanapalli, Venkata Lakshmi Narayana	Zhan, Tianyu
Kordos, Miroslaw	Zhang, Yang
Krak, Yuri	Zhu, Xiaonan
Lo Sciuto, Grazia	Zlatev, Zlatin

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© 2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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MDPI and ACS Style

Analytics Editorial Office. Acknowledgment to the Reviewers of Analytics in 2022. Analytics 2023, 2, 75-76. https://doi.org/10.3390/analytics2010005

AMA Style

Analytics Editorial Office. Acknowledgment to the Reviewers of Analytics in 2022. Analytics. 2023; 2(1):75-76. https://doi.org/10.3390/analytics2010005

Chicago/Turabian Style

Analytics Editorial Office. 2023. "Acknowledgment to the Reviewers of Analytics in 2022" Analytics 2, no. 1: 75-76. https://doi.org/10.3390/analytics2010005

APA Style

Analytics Editorial Office. (2023). Acknowledgment to the Reviewers of Analytics in 2022. Analytics, 2(1), 75-76. https://doi.org/10.3390/analytics2010005

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