Kerala University of Digital Sciences, Innovation and Technology
Impact in
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- Biometric Identification and Security
Papers in
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- Chaos control and synchronization 20
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- Advanced Malware Detection Techniques 8
- Top scholars
- Alex Pappachen JamesSishu Shankar MuniV. S. AnoopTony ThomasJose P. JosephSumit DattaB. Naresh Kumar ReddySabu M. Thampi
- Journals
- IEEE Access (14 papers)Chaos Solitons & Fractals (6 papers)Scientific Reports (5 papers)Ecological Informatics (5 papers)IEEE Sensors Journal (5 papers)
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
Kerala University of Digital Sciences, Innovation and Technology
264 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 152
- Signal Processing 98
- Health Informatics 22
- Statistical and Nonlinear Physics 92
- Artificial Intelligence 219
- Computer Networks and Communications 139
Countries citing scholars working at Kerala University of Digital Sciences, Innovation and Technology
This map shows the geographic impact of research produced by authors working at Kerala University of Digital Sciences, Innovation and Technology. 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 papers produced at Kerala University of Digital Sciences, Innovation and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerala University of Digital Sciences, Innovation and Technology more than expected).
Fields of papers published by authors at Kerala University of Digital Sciences, Innovation and Technology
This network shows the impact of papers affiliated with Kerala University of Digital Sciences, Innovation and Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Kerala University of Digital Sciences, Innovation and Technology at the time of their publication.
About Kerala University of Digital Sciences, Innovation and Technology
In recent decades, authors affiliated with Kerala University of Digital Sciences, Innovation and Technology have published 341 papers, which have received a total of 1.7k indexed citations . Scholars at this organization have produced 23 papers in Statistical and Nonlinear Physics, 16 papers in Signal Processing, 40 papers in Computer Networks and Communications, 16 papers in Mathematical Physics and 45 papers in Artificial Intelligence on the topics of Advanced Memory and Neural Computing (36 papers), Chaos control and synchronization (20 papers), Mathematical Dynamics and Fractals (16 papers), Network Security and Intrusion Detection (13 papers), Blockchain Technology Applications and Security (10 papers), Sentiment Analysis and Opinion Mining (10 papers), Sensor Technology and Measurement Systems (9 papers) and Advanced Malware Detection Techniques (8 papers). Their work is cited by papers focused on Signal Processing (98 citations), Health Informatics (22 citations), Statistical and Nonlinear Physics (92 citations), Artificial Intelligence (219 citations) and Computer Networks and Communications (139 citations). Authors at Kerala University of Digital Sciences, Innovation and Technology collaborate with scholars in India, United States and Ireland and have published in prestigious journals including IEEE Access, Chaos Solitons & Fractals, Scientific Reports, Ecological Informatics and IEEE Sensors Journal. Some of Kerala University of Digital Sciences, Innovation and Technology's most productive authors include Alex Pappachen James, Sishu Shankar Muni, V. S. Anoop, Tony Thomas, Jose P. Joseph, Sumit Datta, B. Naresh Kumar Reddy, Sabu M. Thampi, S. Asharaf and Butrus T. Khuri-Yakub.
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.