Ambikesh Jayal

660 total citations · 1 hit paper
23 papers, 316 citations indexed

About

Ambikesh Jayal is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ambikesh Jayal has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ambikesh Jayal's work include Information and Cyber Security (6 papers), Network Security and Intrusion Detection (4 papers) and Cybercrime and Law Enforcement Studies (4 papers). Ambikesh Jayal is often cited by papers focused on Information and Cyber Security (6 papers), Network Security and Intrusion Detection (4 papers) and Cybercrime and Law Enforcement Studies (4 papers). Ambikesh Jayal collaborates with scholars based in United Kingdom, Australia and India. Ambikesh Jayal's co-authors include Nisha Rawindaran, Edmond Prakash, Chaminda Hewage, Martin Shepperd, Imtiaz Khan, John Lawrence, Anuja Arora, Giles Oatley, Peter O’Donoghue and Stephen Swift and has published in prestigious journals such as Gene, Food Control and Postgraduate Medical Journal.

In The Last Decade

Ambikesh Jayal

22 papers receiving 291 citations

Hit Papers

Cybersecurity, Data Privacy and Blockchain: A Review 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambikesh Jayal United Kingdom 10 138 69 66 34 32 23 316
Majed Alshamari Saudi Arabia 10 299 2.2× 107 1.6× 109 1.7× 38 1.1× 40 1.3× 28 470
Indriana Hidayah Indonesia 11 148 1.1× 173 2.5× 36 0.5× 18 0.5× 28 0.9× 93 410
Bassam Al-Shargabi Jordan 11 136 1.0× 144 2.1× 76 1.2× 14 0.4× 54 1.7× 37 333
V. Balaji India 9 177 1.3× 59 0.9× 159 2.4× 17 0.5× 30 0.9× 55 564
Magnus Westerlund Finland 9 66 0.5× 96 1.4× 112 1.7× 21 0.6× 31 1.0× 30 281
Antonio Ruiz‐Martínez Spain 12 164 1.2× 151 2.2× 115 1.7× 30 0.9× 20 0.6× 39 370
Sélinde van Engelenburg Netherlands 7 101 0.7× 62 0.9× 72 1.1× 44 1.3× 19 0.6× 11 241
Makram Soui Tunisia 10 74 0.5× 179 2.6× 22 0.3× 9 0.3× 47 1.5× 35 397
Edmond Prakash United Kingdom 8 120 0.9× 62 0.9× 73 1.1× 32 0.9× 38 1.2× 16 312
César D. Guerrero Colombia 11 76 0.6× 48 0.7× 158 2.4× 40 1.2× 21 0.7× 41 334

Countries citing papers authored by Ambikesh Jayal

Since Specialization
Citations

This map shows the geographic impact of Ambikesh Jayal'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 Ambikesh Jayal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambikesh Jayal more than expected).

Fields of papers citing papers by Ambikesh Jayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ambikesh Jayal. 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 Ambikesh Jayal. The network helps show where Ambikesh Jayal may publish in the future.

Co-authorship network of co-authors of Ambikesh Jayal

This figure shows the co-authorship network connecting the top 25 collaborators of Ambikesh Jayal. A scholar is included among the top collaborators of Ambikesh Jayal 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 Ambikesh Jayal. Ambikesh Jayal 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.
Rawindaran, Nisha, Ambikesh Jayal, & Edmond Prakash. (2025). Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0. Journal of Cybersecurity and Privacy. 5(2). 17–17. 1 indexed citations
3.
Rawindaran, Nisha, Ambikesh Jayal, Edmond Prakash, & Chaminda Hewage. (2023). Perspective of small and medium enterprise (SME's) and their relationship with government in overcoming cybersecurity challenges and barriers in Wales. International Journal of Information Management Data Insights. 3(2). 100191–100191. 21 indexed citations
4.
Jayal, Ambikesh, et al.. (2022). A genome-led study on the pathogenesis of Fusobacterium necrophorum infections. Gene. 840. 146770–146770. 4 indexed citations
5.
Jayal, Ambikesh, et al.. (2022). Pneumomediastinum in patients with COVID-19 undergoing CT pulmonary angiography: a retrospective cohort study. Postgraduate Medical Journal. 99(1172). 570–575. 1 indexed citations
6.
Rawindaran, Nisha, John Lawrence, Edmond Prakash, et al.. (2022). Cybersecurity, Data Privacy and Blockchain: A Review. SN Computer Science. 3(2). 127–127. 98 indexed citations breakdown →
7.
Evans, Ellen W., et al.. (2022). Attitudes towards using artificial intelligence to determine real-time hand hygiene compliance in the food sector. Food Control. 145. 109439–109439. 9 indexed citations
8.
Rawindaran, Nisha, Ambikesh Jayal, & Edmond Prakash. (2022). Exploration of the Impact of Cybersecurity Awareness on Small and Medium Enterprises (SMEs) in Wales Using Intelligent Software to Combat Cybercrime. Computers. 11(12). 174–174. 11 indexed citations
9.
Arora, Anuja, et al.. (2022). SVM and Logistic Regression for Facial Palsy Detection Utilizing Facial Landmark Features. 43–48. 7 indexed citations
10.
Rawindaran, Nisha, Ambikesh Jayal, Edmond Prakash, & Chaminda Hewage. (2021). Cost Benefits of Using Machine Learning Features in NIDS for Cyber Security in UK Small Medium Enterprises (SME). Future Internet. 13(8). 186–186. 19 indexed citations
11.
Hewage, Chaminda, et al.. (2021). Provable Data Possession (PDP) and Proofs of Retrievability (POR) of Current Big User Data. SN Computer Science. 3(1).
12.
13.
Jayal, Ambikesh, et al.. (2019). Pairwise Reviews Ranking and Classification for Medicine E-Commerce Application. Cardiff Metropolitan Research Repository (Cardiff Metropolitan University). 1–6. 2 indexed citations
14.
Jayal, Ambikesh, Allistair P. McRobert, Giles Oatley, & Peter O’Donoghue. (2018). Sports Analytics. 15 indexed citations
15.
Jayal, Ambikesh, Allistair P. McRobert, Giles Oatley, & Peter O’Donoghue. (2018). Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Cardiff Metropolitan Research Repository (Cardiff Metropolitan University). 4 indexed citations
16.
Jayal, Ambikesh, et al.. (2017). Draft Genome Sequence of Pseudomonas aeruginosa ATCC 9027, Originally Isolated from an Outer Ear Infection. Genome Announcements. 5(48). 9 indexed citations
17.
Jayal, Ambikesh, et al.. (2011). Python for Teaching Introductory Programming: A Quantitative Evaluation. Cardiff Metropolitan Research Repository (Cardiff Metropolitan University). 10(1). 86–90. 19 indexed citations
18.
Jayal, Ambikesh & Martin Shepperd. (2009). The Problem of Labels in E-Assessment of Diagrams. Cardiff Metropolitan Research Repository (Cardiff Metropolitan University). 8(4). 1–13. 16 indexed citations
19.
Jayal, Ambikesh & Martin Shepperd. (2009). An Improved Method for Label Matching in E-Assessment of Diagrams. Cardiff Metropolitan Research Repository (Cardiff Metropolitan University). 8(1). 3–16. 6 indexed citations
20.
Jayal, Ambikesh & Martin Shepperd. (2007). An Evaluation of E-Learning Standards. Brunel University Research Archive (BURA) (Brunel University London). 24(1). Suppl:187–8. 2 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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