Karthik Sekaran
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 3
- Cloud Computing and Resource Management 2
-
- Network Security and Intrusion Detection 2
-
- Internet Traffic Analysis and Secure E-voting 2
-
- Computational Drug Discovery Methods 4
-
- SARS-CoV-2 and COVID-19 Research 2
-
- Cancer-related molecular mechanisms research 2
-
- Gut microbiota and health 2
In The Last Decade
Karthik Sekaran
30 papers receiving 276 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 11
- Information Systems 121
- Computer Networks and Communications 120
- Artificial Intelligence 64
- Health Information Management 8
Countries citing papers authored by Karthik Sekaran
This map shows the geographic impact of Karthik Sekaran'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 Karthik Sekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Sekaran more than expected).
Fields of papers citing papers by Karthik Sekaran
This network shows the impact of papers produced by Karthik Sekaran. 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 Karthik Sekaran. The network helps show where Karthik Sekaran may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Karthik Sekaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 53 | |
| 14 | Model Driven Approach For Developing Cloud Application | 2013 | 3 |
| 15 | Web Services Supply Chains: A Literature Reivew | 2012 | 1 |
| 16 | Electronic Pump Control and Benchmarking of Simulation Tools : AMESim and GT Suite | 2011 | 2 |
| 17 | A Phenomic Algorithm for Reconstruction of Gene Networks | 2007 | 4 |
| 18 | Design and Development of Proactive Models for Mitigating Denial-of-Service and Distributed Denial-of-Service Attacks | 2007 | 3 |
| 19 | Steganography Based WWW Distributed Image Retrieval with Mobile Agents | 2004 | 1 |
| 20 | 1968 | 6 |
About Karthik Sekaran
Karthik Sekaran is a scholar working on Health Informatics, Information Systems and Computer Networks and Communications, having authored 32 papers that have together received 306 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Service-Oriented Architecture and Web Services (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Network Security and Intrusion Detection (2 papers), Cloud Computing and Resource Management (2 papers), Cancer-related molecular mechanisms research (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Health Informatics (11 citations), Information Systems (121 citations) and Computer Networks and Communications (120 citations). Karthik Sekaran has collaborated with scholars based in India, Qatar and Egypt. Frequent co-authors include John Jose, V. Kumar, C. George Priya Doss, Hatem Zayed, Alsamman M. Alsamman, M. Sudha, Achraf El Allali, J.M. Jafferson, Nader Al‐Dewik and T. S. Danowski. Their work appears in journals such as PLoS ONE, Clinical Pharmacology & Therapeutics and Metabolism.
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.