World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4281
World Ranking
11815
National Ranking
748

Overview

Nik Bessis is affiliated with Edge Hill University in the United Kingdom and has contributed extensively to the field of Computer Science. Their research spans multiple specialized subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems, and Electrical and Electronic Engineering.

The scientist's research topics reflect a diverse focus within these areas. Key subjects include:

  • Advanced Neural Network Applications
  • Software System Performance and Reliability
  • Mobile Ad Hoc Networks
  • Opportunistic and Delay-Tolerant Networks
  • Human Pose and Action Recognition
  • Context-Aware Activity Recognition Systems
  • Advanced Image and Video Retrieval Techniques

Nik Bessis has published works primarily in well-regarded journals and conferences. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Applied Soft Computing
  • Neural Computing and Applications
  • IEEE Transactions on Image Processing

Recent papers authored or co-authored by Nik Bessis feature a range of topics and venues, such as:

  • SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization, 2022, IEEE Transactions on Image Processing
  • Adaptive Microservice Scaling for Elastic Applications, 2020, IEEE Internet of Things Journal
  • Classifying emotions in Stack Overflow and JIRA using a multi-label approach, 2020, Knowledge-Based Systems
  • Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next?, 2021, IEEE Transactions on Industrial Informatics
  • PERMS: An efficient rescue route planning system in disasters, 2021, Applied Soft Computing

The scientist collaborates frequently with several co-authors, including Zachary Wharton, Yonghuai Liu, Ardhendu Behera, Francesco Piccialli, and Marcello Trovati, each having worked alongside Nik Bessis on multiple publications.

Best Publications

  • Big Data and Internet of Things: A Roadmap for Smart Environments

    Nik Bessis;Ciprian Dobre

  • A survey on multihop ad hoc networks for disaster response scenarios

    D. G. Reina;M. Askalani;S. L. Toral;F. Barrero

  • The Role of Ad Hoc Networks in the Internet of Things: A Case Scenario for Smart Environments

    Daniel G. Reina;Sergio L. Toral;Federico Barrero;Nik Bessis

  • Exploring decentralized dynamic scheduling for grids and clouds using the community-aware scheduling algorithm

    Ye Huang;Nik Bessis;Peter Norrington;Pierre Kuonen

  • Buildings and Crowds: Forming Smart Cities for More Effective Disaster Management

    Eleana Asimakopoulou;Nik Bessis

  • CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems

    Xiaolong Xu;Hanzhong Rong;Marcello Trovati;Mark Liptrott

  • Internet of Things as a Service (iTaaS): challenges and solutions for management of sensor data on the Cloud and the Fog

    Euripides G.M. Petrakis;Stelios Sotiriadis;Theodoros Soultanopoulos;Pelagia Tsiachri Renta

  • IoTs (Internet of Things) and DfPL (Device-free Passive Localisation) in a disaster management scenario

    Gabriel Deak;Kevin Curran;Joan Condell;Eleana Asimakopoulou

  • SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization

    Unknown

  • Towards Simulating the Internet of Things

    Stelios Sotiriadis;Nik Bessis;Eleana Asimakopoulou;Navonil Mustafee

  • SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management

    S. Sotiriadis;N. Bessis;N. Antonopoulos;A. Anjum

  • Towards Inter-cloud Schedulers: A Survey of Meta-scheduling Approaches

    Stelios Sotiriadis;Nik Bessis;Nick Antonopoulos

  • Interconnectedness of Complex Systems of Internet of Things through Social Network Analysis for Disaster Management

    Asta Zelenkauskaite;Nik Bessis;Stelios Sotiriadis;Eleana Asimakopoulou

  • Modelling and assessing ad hoc networks in disaster scenarios

    Daniel Gutiérrez Reina;S. L. Toral;Federico Barrero;N. Bessis

  • Evaluation of Ad Hoc Networks in Disaster Scenarios

    D.G. Reina;Sergio L. Toral;Federico Barrero;Nik Bessis

  • Self managed virtual machine scheduling in Cloud systems

    Stelios Sotiriadis;Nik Bessis;Rajkumar Buyya

  • An evolutionary computation approach for optimizing connectivity in disaster response scenarios

    D. G. Reina;S.L. Toral MaríN;N. Bessis;F. Barrero

  • CLOTHO: A Large-Scale Internet of Things-Based Crowd Evacuation Planning System for Disaster Management

    Xiaolong Xu;Lei Zhang;Stelios Sotiriadis;Eleana Asimakopoulou

  • The Big Picture, from Grids and Clouds to Crowds: A Data Collective Computational Intelligence Case Proposal for Managing Disasters

    Nik Bessis;Eleana Asimakopoulou;Tim French;Peter Norrington

  • Advanced ICTs for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks

    Eleana Asimakopoulou;Nik Bessis

  • Elastic Load Balancing for Dynamic Virtual Machine Reconfiguration Based on Vertical and Horizontal Scaling

    Stelios Sotiriadis;Nik Bessis;Cristiana Amza;Rajkumar Buyya

  • Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence

    Nik Bessis;Fatos Xhafa;Dora Varvarigou;Richard Hill

Frequent Co-Authors

Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Sergio Toral
Sergio Toral University of Seville
Federico Barrero
Federico Barrero University of Seville
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Francesco Piccialli
Francesco Piccialli University of Naples Federico II
Lu Liu
Lu Liu University of Leicester
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Dirk Helbing
Dirk Helbing ETH Zurich
Charles Oppenheim
Charles Oppenheim Robert Gordon University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University

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