Vangipuram Radhakrishna

2.8k total citations
77 papers, 2.0k citations indexed

About

Vangipuram Radhakrishna is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Vangipuram Radhakrishna has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Information Systems, 43 papers in Signal Processing and 33 papers in Artificial Intelligence. Recurrent topics in Vangipuram Radhakrishna's work include Data Mining Algorithms and Applications (41 papers), Time Series Analysis and Forecasting (27 papers) and Data Management and Algorithms (23 papers). Vangipuram Radhakrishna is often cited by papers focused on Data Mining Algorithms and Applications (41 papers), Time Series Analysis and Forecasting (27 papers) and Data Management and Algorithms (23 papers). Vangipuram Radhakrishna collaborates with scholars based in India, Jordan and Nepal. Vangipuram Radhakrishna's co-authors include Shadi Aljawarneh, P. V. Kumar, V. Janaki, Aravind Cheruvu, Chintakindi Srinivas, C. V. Guru Rao, G. Kumar, N. Rajasekhar, Kim‐Kwang Raymond Choo and J. William Atwood and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Vangipuram Radhakrishna

74 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vangipuram Radhakrishna India 30 1.0k 928 849 670 241 77 2.0k
P. V. Kumar India 23 561 0.5× 603 0.6× 554 0.7× 369 0.6× 177 0.7× 39 1.2k
Chowdhury Farhan Ahmed Bangladesh 21 894 0.9× 1.4k 1.5× 635 0.7× 222 0.3× 886 3.7× 64 1.7k
Suyel Namasudra India 30 901 0.9× 1.2k 1.3× 171 0.2× 815 1.2× 68 0.3× 87 2.3k
Asma Belhadi Norway 24 783 0.8× 460 0.5× 254 0.3× 346 0.5× 142 0.6× 76 1.5k
Bay Vo Vietnam 29 1.4k 1.4× 1.8k 2.0× 560 0.7× 254 0.4× 1.2k 5.1× 114 2.5k
Bin Yao China 27 794 0.8× 1.3k 1.4× 770 0.9× 1.7k 2.6× 68 0.3× 105 3.2k
Hui Zhu China 25 1.5k 1.5× 680 0.7× 199 0.2× 450 0.7× 119 0.5× 138 2.1k
Jimmy Ming‐Tai Wu China 17 499 0.5× 500 0.5× 220 0.3× 183 0.3× 243 1.0× 85 1.2k
Rafiqul Islam Australia 21 944 0.9× 739 0.8× 971 1.1× 1.1k 1.7× 38 0.2× 131 2.1k

Countries citing papers authored by Vangipuram Radhakrishna

Since Specialization
Citations

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

Fields of papers citing papers by Vangipuram Radhakrishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vangipuram Radhakrishna

This figure shows the co-authorship network connecting the top 25 collaborators of Vangipuram Radhakrishna. A scholar is included among the top collaborators of Vangipuram Radhakrishna 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 Vangipuram Radhakrishna. Vangipuram Radhakrishna 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.
2.
Radhakrishna, Vangipuram. (2023). IoT Based Smart Shopping Cart Using RFID. International Journal for Research in Applied Science and Engineering Technology. 11(6). 3767–3771. 2 indexed citations
3.
Radhakrishna, Vangipuram, et al.. (2021). Machine Learning for Data Mining, Data Science and Data Analytics. Recent Advances in Computer Science and Communications. 14(5). 1356–1357. 2 indexed citations
4.
Radhakrishna, Vangipuram, et al.. (2021). Retracted on September 10, 2025: Regression analysis for network intrusion detection. 173–179. 3 indexed citations
5.
Radhakrishna, Vangipuram, et al.. (2021). Retracted on September 10, 2025: Design of Gaussian Similarity Measure for Network Anomaly Detection. 225–230. 2 indexed citations
6.
Khatatneh, Khalaf, et al.. (2020). Similarity Based Feature Transformation for Network Anomaly Detection. IEEE Access. 8. 39184–39196. 43 indexed citations
7.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & Aravind Cheruvu. (2019). Retracted on September 10, 2025: Nirnayam: fusion of iterative rule based decisions to build decision trees for efficient classification. 1–7. 14 indexed citations
8.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & J. William Atwood. (2019). Ultimate: Unearthing Latent Time Profiled Temporal Associations. Foundations of Science. 25(4). 1147–1171. 19 indexed citations
9.
10.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2017). Normal Distribution Based Similarity Profiled Temporal Association Pattern Mining (N-SPAMINE). RePEc: Research Papers in Economics. 7(3). 22–33. 29 indexed citations
11.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & Aravind Cheruvu. (2017). Extending the Gaussian membership function for finding similarity between temporal patterns. 1–6. 44 indexed citations
12.
Cheruvu, Aravind, Vangipuram Radhakrishna, & N. Rajasekhar. (2017). Using normal distribution to retrieve temporal associations by Euclidean distance. 1–3. 75 indexed citations
13.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & G. Kumar. (2017). Optimising business intelligence results through strategic application of software process model. International Journal of Intelligent Enterprise. 4(1/2). 128–128. 5 indexed citations
14.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2016). A computationally optimal approach for extracting similar temporal patterns. 21. 1–6. 33 indexed citations
15.
Radhakrishna, Vangipuram, Shadi Aljawarneh, P. V. Kumar, & Kim‐Kwang Raymond Choo. (2016). A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns. Soft Computing. 22(6). 1903–1919. 102 indexed citations
16.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2016). Mining Outlier Temporal Association Patterns. 1–6. 40 indexed citations
17.
Radhakrishna, Vangipuram, et al.. (2015). A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector. Procedia Technology. 19. 880–887. 21 indexed citations
18.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2015). A Survey on Temporal Databases and Data mining. 1–6. 36 indexed citations
19.
Srinivas, Chintakindi, Vangipuram Radhakrishna, & C. V. Guru Rao. (2014). Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries. Procedia Computer Science. 31. 1044–1050. 31 indexed citations
20.
Srinivas, Chintakindi, Vangipuram Radhakrishna, & C. V. Guru Rao. (2013). Clustering Software Components for Program Restructuring and Component Reuse Using Hybrid XOR Similarity Function. AASRI Procedia. 4. 319–328. 20 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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