K. Saruladha

463 total citations
26 papers, 249 citations indexed

About

K. Saruladha is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, K. Saruladha has authored 26 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in K. Saruladha's work include Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (4 papers). K. Saruladha is often cited by papers focused on Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (7 papers) and Biomedical Text Mining and Ontologies (4 papers). K. Saruladha collaborates with scholars based in India and Ethiopia. K. Saruladha's co-authors include G. Aghila, M. Pavithra and T. V. Geetha and has published in prestigious journals such as Soft Computing, Journal of Ambient Intelligence and Humanized Computing and Computational Intelligence and Neuroscience.

In The Last Decade

K. Saruladha

23 papers receiving 229 citations

Peers

K. Saruladha
K. Saruladha
Citations per year, relative to K. Saruladha K. Saruladha (= 1×) peers Khalil Maalmi

Countries citing papers authored by K. Saruladha

Since Specialization
Citations

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

Fields of papers citing papers by K. Saruladha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Saruladha

This figure shows the co-authorship network connecting the top 25 collaborators of K. Saruladha. A scholar is included among the top collaborators of K. Saruladha 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 K. Saruladha. K. Saruladha 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
2.
Saruladha, K., et al.. (2023). Lung cancer diagnosis using Hessian adaptive learning optimization in generative adversarial networks. Soft Computing. 27(10). 6223–6239. 1 indexed citations
3.
Saruladha, K., et al.. (2023). Design of Hybrid Deep Learning Model for Text-based Emotion Recognition. 1–6. 1 indexed citations
4.
Saruladha, K., et al.. (2022). Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models. International Journal of Imaging Systems and Technology. 32(4). 1414–1428. 5 indexed citations
5.
Saruladha, K., et al.. (2022). Investigations of CNN for Medical Image Analysis for Illness Prediction. Computational Intelligence and Neuroscience. 2022. 1–13. 5 indexed citations
6.
Saruladha, K., et al.. (2021). Stackelberg security game to mitigate the DoS attack in vehicular ad-hoc networks. Journal of Ambient Intelligence and Humanized Computing. 14(6). 6489–6496. 3 indexed citations
7.
Saruladha, K., et al.. (2020). Comparative Analysis of Various Approaches for DoS Attack Detection in VANETs. 8 indexed citations
8.
Saruladha, K., et al.. (2020). Design of FCSE-GAN for Dissection of Brain Tumour in MRI. 1–6. 6 indexed citations
9.
Pavithra, M., et al.. (2019). GRU Based Deep Learning Model for Prognosis Prediction of Disease Progression. 840–844. 16 indexed citations
10.
Geetha, T. V., et al.. (2017). PSOM2—partitioning-based scalable ontology matching using MapReduce. Sadhana. 42(12). 2009–2024. 4 indexed citations
11.
Saruladha, K., et al.. (2016). Studying the Performance of QoS Specific Web Service Recommendation System Using Virtural Regions.. Journal of Web Engineering. 15. 397–411. 1 indexed citations
12.
Saruladha, K., et al.. (2016). COGOM: Cognitive Theory Based Ontology Matching System. Procedia Computer Science. 85. 301–308. 4 indexed citations
14.
Saruladha, K., et al.. (2013). Semantic Similarity Models for Geo-spatial Information System. International Journal of Computer Applications. 64(11). 40–47.
15.
Saruladha, K., et al.. (2012). A partitioning algorithm for large scale ontologies. 3729. 526–530. 6 indexed citations
16.
Saruladha, K., et al.. (2012). Neighbour based structural proximity measures for ontology matching systems. 1079–1085. 3 indexed citations
17.
Saruladha, K., et al.. (2011). A Comparative Analysis of Ontology and Schema Matching Systems. 34(8). 14–21. 9 indexed citations
18.
Saruladha, K., et al.. (2010). A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval. 297–301. 26 indexed citations
19.
Saruladha, K., et al.. (2007). Behavior of Agent Based Dynamic Load Balancing Algorithm for Heterogeneous P2P Systems. 109–113. 15 indexed citations
20.
Saruladha, K., et al.. (2007). Distributed Meeting Scheduler - A Knowledge Based Approach to Schedule Meetings. 110–115. 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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