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Varun Gupta
PeerJ Editor, Author & Reviewer
2,725 Points

Contributions by role

Author 100
Reviewer 45
Editor 2,580

Contributions by subject area

Human-Computer Interaction
Emerging Technologies
Software Engineering
Algorithms and Analysis of Algorithms
Spatial and Geographic Information Systems
Artificial Intelligence
Computational Linguistics
Natural Language and Speech
Data Science
Network Science and Online Social Networks
Computer Education
Data Mining and Machine Learning
Mobile and Ubiquitous Computing
Text Mining
Cryptography
Security and Privacy
Social Computing
Sentiment Analysis
World Wide Web and Web Science
Digital Libraries
Programming Languages
Databases
Graphics
Visual Analytics
Blockchain
Neural Networks
Multimedia
Computer Networks and Communications
Distributed and Parallel Computing
Computer Vision

Varun Gupta

PeerJ Editor, Author & Reviewer

Summary

Varun Gupta received his Doctorate (cum laude) in Organizational Engineering, Doctorate (International/European Doctorate, Cum Lade) in Economics and Business Management, as well as in Computer Science and Engineering. He also earned his MBA (General), Máster en Dirección Internacional de Empresas, Master of Technology (By Research) in Computer Science & Engineering, and Bachelor of Technology (Hons.) in Computer Science & Engineering.
He is a Professor of Digital Innovation and Head of the Multidisciplinary Research Centre for Innovations in SMEs (MrciS) at Gisma University of Applied Sciences, Potsdam, Germany. Previously, he was associated with University of Toronto (Canada), Leicester University (United Kingdom), Universidad de Alcalá (Spain), Software Engineering Research Group (SERG), Lund University (Sweden), Sapienza Università di Roma (Italy), Free University of Bozen-Bolzano (Italy), University of South-Eastern Norway (Norway), Poznań University of Technology (Poland), Uniwersytet Szczeciński (Poland).
Prof. Gupta is an Associate Editor of IEEE Access (an SCIE Indexed publication of IEEE), PeerJ Computer Science (an SCIE-indexed publication of PeerJ), PLOS One (an SCIE-indexed publication of PLOS), International Journal of Computer Aided Engineering & Technology (Scopus-indexed publication of Inderscience Publishers), IEEE Software blog, and Journal of Cases on Information Technology (ESCI & Scopus Indexed publication of IGI Global), and is a former editorial team member of the British Journal of Educational Technology (BJET) (an SCIE indexed publication of Wiley). Prof. Gupta has worked on multiple projects that have been supported by various agencies such as the European Union and the Spanish National Programme. His area of interest is evidence-based software engineering, innovation management, Digital Transformations and Innovation, Technology Adoptions in SMEs, entrepreneurship, and international business management.

Computer Education Emerging Technologies Human-Computer Interaction Programming Languages Science Policy Software Engineering

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Universidad Carlos III de Madrid
Universidad Politécnica de Madrid

Work details

Professor

Gisma University of Applied Sciences
Multidisciplinary Research Centre for Innovations in SMEs (MrciS)
Teaching, Research and leading the research centre.

Websites

  • LinkedIn
  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Edited 6
June 18, 2024
Enhancing bug allocation in software development: a multi-criteria approach using fuzzy logic and evolutionary algorithms
Chetna Gupta, Varun Gupta
https://doi.org/10.7717/peerj-cs.2111
December 9, 2022
A novel value-based multi-criteria decision making approach to evaluate new technology adoption in SMEs
Chetna Gupta, Jose Maria Fernandez-Crehuet, Varun Gupta
https://doi.org/10.7717/peerj-cs.1184

Academic Editor on

June 19, 2025
Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis
Jea Woog Lee, Sangmin Song, JungMin Yun, Doug Hyun Han, YoungBin Kim
https://doi.org/10.7717/peerj-cs.2919
January 9, 2024
Analyzing patients satisfaction level for medical services using twitter data
Muhammad Usman, Muhammad Mujahid, Furqan Rustam, EmmanuelSoriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf
https://doi.org/10.7717/peerj-cs.1697
November 17, 2023
A structured multi-head attention prediction method based on heterogeneous financial data
Cheng Zhao, Fangyong Li, Zhe Peng, Xiao Zhou, Yan Zhuge
https://doi.org/10.7717/peerj-cs.1653
July 17, 2023
Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software
Yituo Feng, Jungryeol Park
https://doi.org/10.7717/peerj-cs.1481
August 8, 2022
Nine best practices for research software registries and repositories
Daniel Garijo, Hervé Ménager, Lorraine Hwang, Ana Trisovic, Michael Hucka, Thomas Morrell, Alice Allen
https://doi.org/10.7717/peerj-cs.1023
February 22, 2022
Accessibility challenges of e-commerce websites
Patricia Acosta-Vargas, Belén Salvador-Acosta, Luis Salvador-Ullauri, Janio Jadán-Guerrero
https://doi.org/10.7717/peerj-cs.891