Aravind Cheruvu

531 total citations
15 papers, 369 citations indexed

About

Aravind Cheruvu is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Aravind Cheruvu has authored 15 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Aravind Cheruvu's work include Data Mining Algorithms and Applications (9 papers), Data Management and Algorithms (5 papers) and Time Series Analysis and Forecasting (4 papers). Aravind Cheruvu is often cited by papers focused on Data Mining Algorithms and Applications (9 papers), Data Management and Algorithms (5 papers) and Time Series Analysis and Forecasting (4 papers). Aravind Cheruvu collaborates with scholars based in Jordan, India and United States. Aravind Cheruvu's co-authors include Vangipuram Radhakrishna, Shadi Aljawarneh, N. Rajasekhar, P. V. Kumar, N. Mangathayaru, V. Janaki, G. Kumar, G. Narsimha, Bimal Viswanath and Danfeng Yao and has published in prestigious journals such as Neural Computing and Applications and Annual Computer Security Applications Conference.

In The Last Decade

Aravind Cheruvu

15 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aravind Cheruvu Jordan 12 187 161 127 103 39 15 369
Ridha Khédri Canada 12 191 1.0× 173 1.1× 62 0.5× 107 1.0× 40 1.0× 54 429
Renato José Sassi Brazil 9 109 0.6× 84 0.5× 75 0.6× 75 0.7× 31 0.8× 40 290
MingJian Tang Australia 11 259 1.4× 183 1.1× 84 0.7× 192 1.9× 8 0.2× 26 503
K. Muneeswaran United States 8 290 1.6× 63 0.4× 108 0.9× 208 2.0× 24 0.6× 24 408
J. E. Muñoz Expósito Spain 11 129 0.7× 122 0.8× 32 0.3× 177 1.7× 14 0.4× 32 354
Saima Anwar Lashari Malaysia 10 135 0.7× 66 0.4× 24 0.2× 108 1.0× 16 0.4× 42 407
M. Govindarajan India 10 234 1.3× 70 0.4× 86 0.7× 154 1.5× 6 0.2× 45 353
Ettore Ritacco Italy 10 183 1.0× 156 1.0× 81 0.6× 70 0.7× 10 0.3× 28 359
Abedallah Zaid Abualkishik United Arab Emirates 10 79 0.4× 118 0.7× 24 0.2× 81 0.8× 12 0.3× 48 321
Cik Feresa Mohd Foozy Malaysia 10 351 1.9× 149 0.9× 221 1.7× 361 3.5× 6 0.2× 35 590

Countries citing papers authored by Aravind Cheruvu

Since Specialization
Citations

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

Fields of papers citing papers by Aravind Cheruvu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aravind Cheruvu

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

All Works

15 of 15 papers shown
1.
Cheruvu, Aravind, et al.. (2024). An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape. 91–109. 6 indexed citations
2.
Cheruvu, Aravind, et al.. (2023). A First Look at Toxicity Injection Attacks on Open-domain Chatbots. Annual Computer Security Applications Conference. 521–534. 5 indexed citations
3.
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
4.
Radhakrishna, Vangipuram, Shadi Aljawarneh, P. V. Kumar, V. Janaki, & Aravind Cheruvu. (2019). Retracted on September 10, 2025: Tree based data fusion approach for mining temporal patterns. 1–5. 11 indexed citations
5.
Radhakrishna, Vangipuram, Shadi Aljawarneh, P. V. Kumar, V. Janaki, & Aravind Cheruvu. (2019). Retracted on September 10, 2025: Discovery of time profiled temporal patterns. 1–5. 20 indexed citations
6.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & Aravind Cheruvu. (2018). VRKSHA: a novel tree structure for time-profiled temporal association mining. Neural Computing and Applications. 32(21). 16337–16365. 24 indexed citations
7.
Radhakrishna, Vangipuram, Shadi Aljawarneh, & Aravind Cheruvu. (2018). Retracted on September 10, 2025: Sequential Approach for Mining of Temporal Itemsets. 1–6. 32 indexed citations
8.
Aljawarneh, Shadi, Vangipuram Radhakrishna, & Aravind Cheruvu. (2018). Retracted on September 10, 2025: VRKSHA: A Novel Multi-Tree Based Sequential Approach for Seasonal Pattern Mining. 1–10. 51 indexed citations
9.
Radhakrishna, Vangipuram, Shadi Aljawarneh, P. V. Kumar, & Aravind Cheruvu. (2018). Retracted on September 10, 2025: Kaala vrksha: extending vrksha for time profiled temporal association mining. 1–8. 29 indexed citations
10.
Kumar, G., N. Mangathayaru, G. Narsimha, & Aravind Cheruvu. (2018). Feature Clustering for Anomaly Detection Using Improved Fuzzy Membership Function. 1–9. 22 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, et al.. (2017). Finding similar patterns in time stamped temporal datasets. 1–5. 11 indexed citations
14.
Cheruvu, Aravind & Vangipuram Radhakrishna. (2016). Estimating temporal pattern bounds using negative support computations. 21. 1–4. 19 indexed citations
15.

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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