Nik Bessis

3.9k total citations
185 papers, 2.5k citations indexed

About

Nik Bessis is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nik Bessis has authored 185 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Computer Networks and Communications, 71 papers in Information Systems and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nik Bessis's work include Distributed and Parallel Computing Systems (60 papers), Cloud Computing and Resource Management (47 papers) and IoT and Edge/Fog Computing (38 papers). Nik Bessis is often cited by papers focused on Distributed and Parallel Computing Systems (60 papers), Cloud Computing and Resource Management (47 papers) and IoT and Edge/Fog Computing (38 papers). Nik Bessis collaborates with scholars based in United Kingdom, Spain and Greece. Nik Bessis's co-authors include Stelios Sotiriadis, Eleana Asimakopoulou, Ciprian Dobre, Fatos Xhafa, S. L. Toral, Valentin Cristea, Florin Pop, Federico Barrero, Marcello Trovati and Daniel Gutiérrez Reina and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Nik Bessis

176 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nik Bessis United Kingdom 28 1.6k 1.0k 395 387 348 185 2.5k
Massimo Ficco Italy 27 1.4k 0.9× 981 0.9× 340 0.9× 664 1.7× 205 0.6× 98 2.2k
Christian Esposito Italy 29 1.6k 1.0× 1.6k 1.6× 465 1.2× 897 2.3× 388 1.1× 149 3.3k
Herodotos Herodotou Cyprus 19 1.1k 0.7× 1.1k 1.0× 487 1.2× 423 1.1× 221 0.6× 77 2.2k
Wenny Rahayu Australia 29 2.0k 1.3× 1.3k 1.3× 564 1.4× 1.0k 2.6× 429 1.2× 156 3.6k
Young‐Sik Jeong South Korea 25 1.7k 1.0× 1.3k 1.2× 473 1.2× 530 1.4× 293 0.8× 206 2.7k
Weiwei Lin China 31 1.5k 1.0× 1.4k 1.4× 548 1.4× 761 2.0× 173 0.5× 172 3.0k
Nalini Venkatasubramanian United States 28 2.2k 1.4× 695 0.7× 930 2.4× 451 1.2× 572 1.6× 252 3.3k
Dzmitry Kliazovich Luxembourg 26 2.3k 1.4× 1.7k 1.6× 843 2.1× 349 0.9× 147 0.4× 106 3.2k
Yuyu Yin China 27 1.1k 0.7× 1.1k 1.1× 373 0.9× 817 2.1× 434 1.2× 117 2.5k
Sheng Zhang China 33 1.3k 0.8× 552 0.5× 861 2.2× 639 1.7× 675 1.9× 215 3.3k

Countries citing papers authored by Nik Bessis

Since Specialization
Citations

This map shows the geographic impact of Nik Bessis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nik Bessis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nik Bessis more than expected).

Fields of papers citing papers by Nik Bessis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nik Bessis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nik Bessis. The network helps show where Nik Bessis may publish in the future.

Co-authorship network of co-authors of Nik Bessis

This figure shows the co-authorship network connecting the top 25 collaborators of Nik Bessis. A scholar is included among the top collaborators of Nik Bessis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nik Bessis. Nik Bessis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yonghuai, et al.. (2022). SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization. IEEE Transactions on Image Processing. 31. 6017–6031. 56 indexed citations
2.
Behera, Ardhendu, et al.. (2021). Coarse Temporal Attention Network (CTA-Net) for Driver’s Activity Recognition. Edge Hill University Research Information Repository (Edge Hill University). 1278–1288. 23 indexed citations
3.
Xu, Xiaolong, Lei Zhang, Marcello Trovati, et al.. (2021). PERMS: An efficient rescue route planning system in disasters. Applied Soft Computing. 111. 107667–107667. 18 indexed citations
4.
Pandey, Hari Mohan, Marcello Trovati, & Nik Bessis. (2021). Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms. Applied Soft Computing. 102. 107087–107087. 1 indexed citations
5.
Pandey, Hari Mohan, Nik Bessis, Neeraj Kumar, & Ankit Chaudhary. (2021). S. I: hybridization of neural computing with nature-inspired algorithms. Neural Computing and Applications.
6.
Wagen, Jean–Frédéric, et al.. (2021). Preliminary results of OLSR based MANET routing algorithms: OLSRd2-Qx reinforcement learning agents and ODRb. UEA Digital Repository (University of East Anglia). 1–8. 4 indexed citations
7.
Piccialli, Francesco, Nik Bessis, Gwanggil Jeon, & Calton Pu. (2021). Introduction to the Special Section on Data Science for Cyber-Physical Systems. ACM Transactions on Internet Technology. 21(2). 1–7. 1 indexed citations
8.
Piccialli, Francesco, Salvatore Cuomo, Nik Bessis, & Yuji Yoshimura. (2020). Data Science for the Internet of Things. IEEE Internet of Things Journal. 7(5). 4342–4346. 6 indexed citations
9.
Xu, Xiaolong, et al.. (2016). CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems. Soft Computing. 22(3). 783–795. 73 indexed citations
10.
Trovati, Marcello, et al.. (2016). Logistic Regression Multinomial for Arrhythmia Detection. Edge Hill University Research Information Repository (Edge Hill University). 133–137. 6 indexed citations
11.
Sotiriadis, Stelios, Nik Bessis, Ashiq Anjum, & Rajkumar Buyya. (2015). An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. IEEE Transactions on Services Computing. 11(1). 5–19. 27 indexed citations
12.
Bessis, Nik & Ciprian Dobre. (2014). Big Data and Internet of Things: A Roadmap for Smart Environments. Studies in computational intelligence. 230 indexed citations
13.
Sotiriadis, Stelios, et al.. (2014). Towards a Social Graph Approach for Modeling Risks in Big Data and Internet of Things (IoT). Edge Hill University Research Information Repository (Edge Hill University). 2. 439–444. 6 indexed citations
14.
Negru, Cătălin, Florin Pop, Valentin Cristea, Nik Bessis, & Jing Li. (2013). Energy Efficient Cloud Storage Service: Key Issues and Challenges. Edge Hill University Research Information Repository (Edge Hill University). 763–766. 17 indexed citations
15.
Reina, Daniel Gutiérrez, et al.. (2013). Authentication Systems Using ID Cards over NFC Links: The Spanish Experience Using DNIe. Procedia Computer Science. 21. 91–98. 12 indexed citations
16.
Shi, Quan, et al.. (2011). Optimizing K2 trees: A case for validating the maturity of network of practices. Computers & Mathematics with Applications. 63(2). 427–436. 7 indexed citations
17.
Toral, S. L., et al.. (2011). An Exploratory Social Network Analysis of Academic Research Networks. University of Derby Online Research Archive. (University of Derby). 21–26. 6 indexed citations
18.
Bessis, Nik, et al.. (2010). On the use of an Intelligent Ray Launching for indoor scenarios. Edge Hill University Research Information Repository (Edge Hill University). 1–5. 9 indexed citations
19.
Bessis, Nik, et al.. (2010). The Characterisation of Human Body Influence on Indoor 3.5 GHz Path Loss Measurement. Edge Hill University Research Information Repository (Edge Hill University). 96. 1–6. 7 indexed citations
20.
Bessis, Nik, et al.. (2009). An Intelligent Ray Launching for urban prediction. Edge Hill University Research Information Repository (Edge Hill University). 2867–2871. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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