Chellammal Surianarayanan

548 total citations
25 papers, 224 citations indexed

About

Chellammal Surianarayanan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Chellammal Surianarayanan has authored 25 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Chellammal Surianarayanan's work include Service-Oriented Architecture and Web Services (6 papers), IoT and Edge/Fog Computing (5 papers) and Software System Performance and Reliability (4 papers). Chellammal Surianarayanan is often cited by papers focused on Service-Oriented Architecture and Web Services (6 papers), IoT and Edge/Fog Computing (5 papers) and Software System Performance and Reliability (4 papers). Chellammal Surianarayanan collaborates with scholars based in India and United Kingdom. Chellammal Surianarayanan's co-authors include Pethuru Raj Chelliah, Edmond Prakash, Chaminda Hewage, Gopinath Ganapathy, Pethuru Raj and Kavita Saini and has published in prestigious journals such as Sensors, IEEE Transactions on Services Computing and International Journal of Information Technology.

In The Last Decade

Chellammal Surianarayanan

23 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chellammal Surianarayanan India 9 76 75 58 29 22 25 224
A.K.M. Muzahidul Islam Bangladesh 10 58 0.8× 76 1.0× 175 3.0× 47 1.6× 44 2.0× 26 323
D. Ravindran India 7 125 1.6× 91 1.2× 62 1.1× 25 0.9× 28 1.3× 14 282
M. Shamim Kaiser Bangladesh 8 71 0.9× 29 0.4× 90 1.6× 13 0.4× 28 1.3× 19 189
Haider Dhia Zubaydi Hungary 6 114 1.5× 128 1.7× 68 1.2× 20 0.7× 39 1.8× 10 274
Momina Shaheen Pakistan 7 65 0.9× 51 0.7× 138 2.4× 16 0.6× 8 0.4× 30 234
Radha Raman Chandan India 8 47 0.6× 25 0.3× 71 1.2× 26 0.9× 12 0.5× 34 186
G. N. Vivekananda India 7 49 0.6× 31 0.4× 107 1.8× 86 3.0× 13 0.6× 18 232
Sunil Gupta India 8 62 0.8× 43 0.6× 75 1.3× 36 1.2× 5 0.2× 36 245
P. Pandiaraja India 8 44 0.6× 64 0.9× 81 1.4× 40 1.4× 11 0.5× 28 196
Firas Husham Almukhtar Iraq 9 24 0.3× 52 0.7× 67 1.2× 79 2.7× 37 1.7× 27 248

Countries citing papers authored by Chellammal Surianarayanan

Since Specialization
Citations

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

Fields of papers citing papers by Chellammal Surianarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chellammal Surianarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Chellammal Surianarayanan. A scholar is included among the top collaborators of Chellammal Surianarayanan 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 Chellammal Surianarayanan. Chellammal Surianarayanan 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.
Surianarayanan, Chellammal, et al.. (2024). Quality of Service (QoS)-Aware Microservices Selection Based on Local Constraints. International Journal of Computer Theory and Engineering. 16(2). 35–43. 1 indexed citations
2.
Surianarayanan, Chellammal & Pethuru Raj Chelliah. (2023). Essentials of Cloud Computing. 2 indexed citations
3.
Surianarayanan, Chellammal, et al.. (2023). Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review. Sensors. 23(6). 3062–3062. 45 indexed citations
4.
Surianarayanan, Chellammal & Pethuru Raj Chelliah. (2023). Integration of the Internet of Things and Cloud. International Journal of Cloud Applications and Computing. 13(1). 1–30. 5 indexed citations
5.
Surianarayanan, Chellammal, et al.. (2023). A Survey on Optimization Techniques for Edge Artificial Intelligence (AI). Sensors. 23(3). 1279–1279. 46 indexed citations
6.
Chelliah, Pethuru Raj, et al.. (2022). A Resource-optimized and Accelerated Sentiment Analysis Method using Serverless Computing. Procedia Computer Science. 215. 33–43. 2 indexed citations
7.
Chelliah, Pethuru Raj & Chellammal Surianarayanan. (2021). Multi-Cloud Adoption Challenges for the Cloud-Native Era. International Journal of Cloud Applications and Computing. 11(2). 67–96. 6 indexed citations
8.
Surianarayanan, Chellammal & Pethuru Raj Chelliah. (2021). Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment. New Generation Computing. 39(3-4). 717–741. 10 indexed citations
9.
Raj, Pethuru & Chellammal Surianarayanan. (2020). Chapter Twelve - Digital twin: The industry use cases.. 117. 285–320. 3 indexed citations
10.
Surianarayanan, Chellammal, et al.. (2020). Machine Learning Based Method for Prediction of Heart Disease in Big Data Environment. International Journal of Innovative Technology and Exploring Engineering. 9(6). 1917–1921. 1 indexed citations
11.
Raj, Pethuru, Kavita Saini, & Chellammal Surianarayanan. (2020). Blockchain Technology and Applications. Auerbach Publications eBooks. 23 indexed citations
12.
Surianarayanan, Chellammal, et al.. (2019). AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY. 10(3). 10 indexed citations
13.
Surianarayanan, Chellammal, Gopinath Ganapathy, & Pethuru Raj. (2019). Essentials of Microservices Architecture. 8 indexed citations
14.
Surianarayanan, Chellammal & Pethuru Raj Chelliah. (2019). Essentials of Cloud Computing: A Holistic Perspective. 1 indexed citations
15.
Surianarayanan, Chellammal, Gopinath Ganapathy, & Pethuru Raj. (2019). Essentials of Microservices Architecture: Paradigms, Applications, and Techniques. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations
16.
Surianarayanan, Chellammal & Gopinath Ganapathy. (2015). An Approach to Computation of Similarity, Inter-Cluster Distance and Selection of Threshold for Service Discovery Using Clusters. IEEE Transactions on Services Computing. 9(4). 524–536. 9 indexed citations
17.
Surianarayanan, Chellammal, et al.. (2015). Towards quicker discovery and selection of web services considering required degree of match through indexing and decomposition of non-functional constraints. International Journal of Computational Science and Engineering. 10(1/2). 45–45. 4 indexed citations
18.
Surianarayanan, Chellammal, et al.. (2014). An approach for selecting best available services through a new method of decomposing QoS constraints. Service Oriented Computing and Applications. 9(2). 107–138. 10 indexed citations
19.
Surianarayanan, Chellammal & Gopinath Ganapathy. (2012). A SURVEY ON OPTIMIZATION APPROACHES TO SEMANTIC SERVICE DISCOVERY TOWARDS AN INTEGRATED SOLUTION. ICTACT Journal on Soft Computing. 2(4). 377–383. 2 indexed citations
20.
Ganapathy, Gopinath & Chellammal Surianarayanan. (2010). An approach to identify candidate services for semantic web service discovery. 1. 1–4. 4 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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