7 November 2022
Editorial Board Members from Machine Learning and Knowledge Extraction Featured in Stanford’s List of the World’s Top 2% Scientists

We are pleased to share that 28 Editorial Board Members from MDPI's journal Machine Learning and Knowledge Extraction (MAKE, ISSN: 2504-4990) were featured in the Stanford University’s list of the World’s Top 2% Scientists in 2022.

Name

Affiliation

Prof. Dr. Andreas Holzinger

Human-Centered AI Lab (Holzinger Group), Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, 8036 Graz, Austria

Prof. Dr. Angelo Cangelosi

Department of Computer Science, University of Manchester, Oxford Rd, Manchester M13 9PL, UK

Prof. Dr. Abdulhamit Subasi

Information Systems Department, College of Engineering, Effat University, Jeddah 21478, Saudi Arabia

Prof. Dr. A. Aldo Faisal

Brain/Behaviour Lab and Machine Learning Group, Computing & Bioengineering, Imperial College London, London SW7 2AZ, UK

Prof. Dr. Byron Wallace

College of Computer and Information Science, Northeastern University, Boston, MA 02115, USA

Prof. Dr. Blaz Zupan

Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, Ljubljana 1000, Slovenia, and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA

Prof. Dr. Constantinos S. Pattichis

Department of Computer Science, University of Cyprus, Nicosia 1678, Cyprus

Prof. Dr. Dimitrios Gunopulos

Knowledge Discovery in Databases Lab, Department of Informatics and Telecommunications, University of Athens, 157 72 Athens, Greece

Prof. Dr. Edgar Weippl

SBA Research, University of Vienna, 1040 Vienna, Austria

Prof. Dr. Fabrizio Riguzzi

Dipartimento di Matematica e Informatica, Università di Ferrara, 44121 Ferrara, Italy

Prof. Dr. Fang Chen

Data Science Institute, University of Technology Sydney, Ultimo, NSW 2007, Australia

Dr. Federico Cabitza

Dipartimento Di Informatica, Sistemistica E Comunicazione, Università degli Studi di Milano-Bicocca, 20126 Milano MI, Italy

Prof. Dr. Feiping Nie

School of Computer Science and the Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an 710072, China

Prof. Dr. Francisco Herrera

Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain

Prof. Dr. Irena Spasic

School of Computer Science & Informatics, Cardiff University, Cardiff, UK

Prof. Dr. Karin Verspoor

School of Computing and Information Systems, The University of Melbourne, Melbourne 3010, Australia

Prof. Dr. Lukasz Kurgan

Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA

Prof. Dr. Mark Girolami

1. Chair of Statistics, Department of Mathematics, Imperial College London, Huxley Building, Room 539, London SW7 2AZ, UK
2. Director of the Lloyd's Register Foundation-Turing Programme on Data Centric Engineering, The Alan Turing Institute, The British Library, 96 Euston Road, London NW1 2DB, UK

Prof. Dr. Matthew E. Taylor

The Intelligent Robot Learning Laboratory, Department of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, Canada

Prof. Dr. Martina Ziefle

e-Health Group, RWTH Aachen University, 52062 Aachen, Germany

Prof. Dr. Nada Lavrac

Department of Knowledge Technologies, Jozef Stefan Institute, 1000 Ljubljana, Slovenia

Prof. Dr. Pierangela Samarati

Dipartimento di Informatica, Università degli Studi di Milano, 20133 Milano, Italy

Prof. Dr. Sjouke Mauw

Security and Trust of Software Systems Group, Computer Science & Communications Research Unit, Faculty of Science, Technology and Communication, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette L-4364, Luxembourg

Prof. Dr. Shiliang Sun

Pattern Recognition and Machine Learning Research Group, Department of Computer Science and Technology, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, China

Prof. Dr. Stephen J. McKenna

School of Science and Engineering, University of Dundee, Dundee DD1 4HN, Scotland, UK

Prof. Dr. Salim Lahmiri

Department of Supply Chain and Business Technology Management, John Molson School of Business, Concordia University, Montreal, QC H3H 0A1, Canada

Prof. Dr. Vasile Palade

Centre for Data Science, Coventry University, Coventry CV1 5FB, UK

Prof. Dr. Yoichi Hayashi

Artificial Intelligence Lab, Department of Computer Science, Meiji University, Kawasaki, Kanagawa 214-8571, Japan

The latest Stanford rankings reflect the significant influence and research excellence of these scientists, who are committed to furthering their knowledge for the benefit of the world. The list was created by Prof. John P. A. Ioannidis from Stanford University and his research team. They have created a publicly available database of 100,000 top-cited scientists that provides standardized information on citations, h-index scores, co-authorship adjusted hm-index scores, citations to papers in different authorship positions, and a composite indicator (c-score). Scientists are classified into 22 scientific fields and 176 sub-fields.

We would like to congratulate our Editorial Board Members on their excellent achievement and thank them for their immense contribution to the scientific progression and development of Machine Learning and Knowledge Extraction.

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