Aravind Cheruvu
- Signal Processing top 5%
- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 4
- Information Systems top 5%
- Data Mining Algorithms and Applications 9
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques 2
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- Advanced Database Systems and Queries 2
- Network Security and Intrusion Detection 1
- Health Information Management top 10%
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- Rough Sets and Fuzzy Logic 4
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- Image and Signal Denoising Methods 1
- Co-authors
- Vangipuram RadhakrishnaShadi AljawarnehN. RajasekharP. V. KumarN. MangathayaruV. JanakiG. KumarG. Narsimha
- Journals
- Neural Computing and Applications (1 paper)Annual Computer Security Applications Conference (1 paper)
- Partner nations
- JordanIndiaUnited States
In The Last Decade
Aravind Cheruvu
15 papers receiving 356 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 127
- Information Systems 161
- Artificial Intelligence 187
- Computer Networks and Communications 103
- Health Information Management 19
Countries citing papers authored by Aravind Cheruvu
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
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
The 13 scholars most cited alongside Aravind Cheruvu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 51 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 44 | |
| 12 | 2017 | 75 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 19 | |
| 15 | 2015 | 6 |
About Aravind Cheruvu
Aravind Cheruvu is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 15 papers that have together received 369 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Data Management and Algorithms (5 papers), Time Series Analysis and Forecasting (4 papers), Rough Sets and Fuzzy Logic (4 papers), Advanced Database Systems and Queries (2 papers), Imbalanced Data Classification Techniques (2 papers), Network Security and Intrusion Detection (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (127 citations), Information Systems (161 citations) and Artificial Intelligence (187 citations). Aravind Cheruvu has collaborated with scholars based in Jordan, India and United States. Frequent 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. Their work appears in journals such as Neural Computing and Applications and Annual Computer Security Applications Conference.
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.