Best Paper Award

The Big Data and Cognitive Computing Best Paper Award is granted annually to highlight high-quality publications with scientific significance and extensive influence. Evaluation Committee Members choose one research article and one review of exceptional quality published in the journal the previous year, announcing them online by the end of June.

The Prize:
– One research article and one review will be selected.
– Each winner will receive CHF 500, a certificate, and a voucher for free article processing fees valid for one year.

 
BDCC Best Paper Award
 
Winner announcement: 30 June 2025

Eligibility and Requirements

– All papers published in Big Data and Cognitive Computing will be eligible (both regular and Special Issue submissions).

Selection Criteria

– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

 
Past Winners
 
Year: 

Winner

29 pages, 1272 KiB  
Review
Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions
by In Lee and George Mangalaraj
Big Data Cogn. Comput. 2022, 6(1), 17; https://doi.org/10.3390/bdcc6010017 - 1 Feb 2022
21 pages, 4585 KiB  
Article
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
by Massimo Stella, Michael S. Vitevitch and Federico Botta
Big Data Cogn. Comput. 2022, 6(2), 52; https://doi.org/10.3390/bdcc6020052 - 12 May 2022

Winner

24 pages, 1556 KiB  
Review
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms
by Gianni Fenu and Francesca Maridina Malloci
Big Data Cogn. Comput. 2021, 5(1), 2; https://doi.org/10.3390/bdcc5010002 - 12 Jan 2021
54 pages, 6458 KiB  
Article
6G Cognitive Information Theory: A Mailbox Perspective
by Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi and Victor C. M. Leung
Big Data Cogn. Comput. 2021, 5(4), 56; https://doi.org/10.3390/bdcc5040056 - 16 Oct 2021
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