S Kumaraswamy

979 total citations · 1 hit paper
9 papers, 556 citations indexed

About

S Kumaraswamy is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, S Kumaraswamy has authored 9 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in S Kumaraswamy's work include IoT and Edge/Fog Computing (3 papers), Cryptography and Data Security (3 papers) and Cloud Computing and Resource Management (3 papers). S Kumaraswamy is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Cryptography and Data Security (3 papers) and Cloud Computing and Resource Management (3 papers). S Kumaraswamy collaborates with scholars based in India, United States and South Korea. S Kumaraswamy's co-authors include Ahmed Sayed M. Metwally, G. Ramkumar, Mohd Zahid Ansari, S. S. Iyengar, L.M. Patnaik, K. R. Venugopal and S H Manjula and has published in prestigious journals such as Computers & Electrical Engineering, International Journal of Electrical and Computer Engineering (IJECE) and Indonesian Journal of Electrical Engineering and Computer Science.

In The Last Decade

S Kumaraswamy

8 papers receiving 457 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance

2009 317 citations S Kumaraswamy et al. CERN Document Server (European Organization for Nuclear Research) profile →

Peers

S Kumaraswamy

IS

AI

CNC

MIS

SPS

Elli Androulaki Switzerland

Ashish Kundu United States

Keiko Hashizume United States

Aysu Betin-Can Türkiye

Ammar Battah United Arab Emirates

Azzedine Benameur United States

Bert Lagaisse Belgium

Jason Paul Cruz Japan

Sharifah Md Yasin Malaysia

Guosheng Kang China

Elli Androulaki Switzerland

S Kumaraswamy

454 ×1.0

IS

194 ×0.9

AI

216 ×1.1

CNC

35 ×0.9

MIS

38 ×1.1

SPS

Citations per year, relative to S Kumaraswamy S Kumaraswamy (= 1×) peers Elli Androulaki

Countries citing papers authored by S Kumaraswamy

Since Specialization

Citations

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

Fields of papers citing papers by S Kumaraswamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Kumaraswamy

This figure shows the co-authorship network connecting the top 25 collaborators of S Kumaraswamy. A scholar is included among the top collaborators of S Kumaraswamy 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 S Kumaraswamy. S Kumaraswamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Kumaraswamy, S, et al.. (2024). An ensemble neural network model for predicting the energy utility in individual houses. Computers & Electrical Engineering. 114. 109059–109059. 27 indexed citations

2.

Kumaraswamy, S, et al.. (2019). Bin packing algorithms for virtual machine placement in cloud computing: a review. International Journal of Electrical and Computer Engineering (IJECE). 9(1). 512–512. 25 indexed citations

3.

Kumaraswamy, S, et al.. (2018). Virtual machine placement in distributed cloud centres using bin packing algorithm. International Journal of Grid and Utility Computing. 9(4). 396–396. 1 indexed citations

4.

Kumaraswamy, S, et al.. (2017). Intelligent VMs prediction in cloud computing environment. 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon). 288–294. 7 indexed citations

5.

Kumaraswamy, S, S H Manjula, & K. R. Venugopal. (2017). Secure Cloud based Privacy Preserving DataMinning Platform. Indonesian Journal of Electrical Engineering and Computer Science. 7(3). 830–830. 1 indexed citations

6.

Kumaraswamy, S, S H Manjula, K. R. Venugopal, S. S. Iyengar, & L.M. Patnaik. (2014). Association rule sharing model for privacy preservation and collaborative data mining efficiency. 2992. 1–6. 4 indexed citations

7.

Kumaraswamy, S, S H Manjula, K. R. Venugopal, & L.M. Patnaik. (2014). A Data Mining Perspective in Privacy Preserving Data Mining Systems. ePrints@Bangalore University (Bangalore University).

8.

Kumaraswamy, S, et al.. (2009). Cloud security and privacy. 338(1). 174 indexed citations

9.

Kumaraswamy, S, et al.. (2009). Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance. CERN Document Server (European Organization for Nuclear Research). 317 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact