K. Srinivas

538 total citations
23 papers, 246 citations indexed

About

K. Srinivas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, K. Srinivas has authored 23 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in K. Srinivas's work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Chaos-based Image/Signal Encryption (2 papers). K. Srinivas is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Chaos-based Image/Signal Encryption (2 papers). K. Srinivas collaborates with scholars based in India, United States and Vietnam. K. Srinivas's co-authors include A. Govardhan, T. Sreenivas, Ramanathan Natarajan, Vinoth Babu Kumaravelu, I. S. Amiri, P. V. S. Srinivas, V. Valli Kumari, B. V. Ramana, R. Krishnamurthy and Raj Kumar Patra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hydrometallurgy and Multimedia Tools and Applications.

In The Last Decade

K. Srinivas

19 papers receiving 213 citations

Peers

K. Srinivas
K. Srinivas
Citations per year, relative to K. Srinivas K. Srinivas (= 1×) peers Amine Rghioui

Countries citing papers authored by K. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by K. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Srinivas. A scholar is included among the top collaborators of K. Srinivas 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. Srinivas. K. Srinivas 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.
Kumar, Alok, et al.. (2024). Credit Card Fraud Detection. 79–82.
2.
Srinivas, K., et al.. (2024). A Study of Outcome of Detethering in Delayed Presentation of Tethered Cord Syndrome. SHILAP Revista de lepidopterología. 14(3). 219–224. 1 indexed citations
3.
Srinivas, K., et al.. (2021). Survey on Centric Data Protection Method for Cloud Storage Application. 1–8. 2 indexed citations
4.
Srinivas, K., et al.. (2020). Prediction Of Heart Disease Using Hybrid Linear Regression. 7(5). 1159–1171. 1 indexed citations
5.
Srinivas, K., et al.. (2019). A SURVEY ON INTERNET OF THINGS BASED SMART, DIGITAL GREEN AND INTELLIGENT CAMPUS. 1–6. 28 indexed citations
6.
Krishnamurthy, R., et al.. (2019). IoT-Based Health Monitoring System Using BeagleBone Black with Optical Sensor. Journal of Optical Communications. 44(3). 359–365. 6 indexed citations
7.
Srinivas, K., et al.. (2019). Convolution Neural Networks for Binary Classification. Journal of Computational and Theoretical Nanoscience. 16(11). 4877–4882. 3 indexed citations
8.
Srinivas, K., et al.. (2014). Rainfall Prediction with TLBO Optimized ANN. 5 indexed citations
9.
Srinivas, K., et al.. (2014). Rough-Fuzzy Classifier: A System to Predict the Heart Disease by Blending Two Different Set Theories. Arabian Journal for Science and Engineering. 39(4). 2857–2868. 30 indexed citations
10.
Srinivas, K., et al.. (2014). Adapting rough-fuzzy classifier to solve class imbalance problem in heart disease prediction using FCM. International Journal of Medical Engineering and Informatics. 6(4). 297–297. 2 indexed citations
11.
Srinivas, K., et al.. (2013). Design and Implementation of Online Patient Monitoring System Using Cortex-M3 Core.
12.
Srinivas, K., V. Valli Kumari, & A. Govardhan. (2012). Result merging using modified Bayesian method for Meta Search Engine. 892–896. 2 indexed citations
13.
Srinivas, K., et al.. (2012). VLSI Implementation of Scalable Encryption Algorithm for Different Text and Processor Size. International Journal of Computer Applications. 44(1). 1–6. 1 indexed citations
14.
Srinivas, K., et al.. (2011). Implementation of Embedded Automobile Black Box Using PIC Microcontroller. 3(9). 506–512.
15.
Kumaravelu, Vinoth Babu, et al.. (2011). Color Image Compression using SPIHT Algorithm. International Journal of Computer Applications. 16(7). 34–42. 11 indexed citations
16.
Srinivas, K., et al.. (2011). Survey on Prediction of Heart Morbidity Using Data Mining Techniques. 1(3). 14–34. 20 indexed citations
17.
Srinivas, K., P. V. S. Srinivas, & A. Govardhan. (2011). Web Service Architecture for a Meta Search Engine. International Journal of Advanced Computer Science and Applications. 2(10). 2 indexed citations
19.
Barnden, John A., et al.. (2002). Winner-take-all networks: Time-based versus activation-based mechanisms for various selection goals. 1. 215–218. 1 indexed citations
20.
Srinivas, K., et al.. (2000). Studies on the recovery of tungsten from a composite wolframite–scheelite concentrate. Hydrometallurgy. 58(1). 43–50. 41 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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