Aravind Cheruvu

531 citations
15 papers · 369 indexed · h-index 12
Topics
Data Mining Algorithms and Applications (9 papers)Data Management and Algorithms (5 papers)Time Series Analysis and Forecasting (4 papers)
Journals
Neural Computing and ApplicationsAnnual Computer Security Applications Conference
Partner nations
JordanIndiaUnited States

In The Last Decade

Aravind Cheruvu

15 papers receiving 356 citations

Peers

Aravind Cheruvu
Comparison fields: 5 of 55
  • Artificial Intelligence 187
  • Information Systems 161
  • Signal Processing 127
  • Computer Networks and Communications 103
  • Computational Theory and Mathematics 39
Replace Renato José Sassi with:
Renato José Sassi Brazil
K. Muneeswaran United States
Youwei Wang China
Waheed Ali H. M. Ghanem Malaysia
Ettore Ritacco Italy
Ridha Khédri Canada
Dingyu Yang China
MingJian Tang Australia
Cik Feresa Mohd Foozy Malaysia
R. Rajaram India
Aravind Cheruvu relative to Renato José Sassi Brazil Renato José Sassi's profile →
Citations per field
00.5×4.0×
Renato José Sassi · 1×
Citations per year

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
#WorkIndexed citations
1 6
2 5
3 14
4 11
5 20
6 24
7 32
8 51
9 29
10 22
11 44
12 75
13 11
14 19
15 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) and Time Series Analysis and Forecasting (4 papers). 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.

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