V. Maria Anu

849 total citations
52 papers, 454 citations indexed

About

V. Maria Anu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, V. Maria Anu has authored 52 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in V. Maria Anu's work include IoT-based Smart Home Systems (9 papers), RFID technology advancements (5 papers) and Network Security and Intrusion Detection (4 papers). V. Maria Anu is often cited by papers focused on IoT-based Smart Home Systems (9 papers), RFID technology advancements (5 papers) and Network Security and Intrusion Detection (4 papers). V. Maria Anu collaborates with scholars based in India, Malaysia and United States. V. Maria Anu's co-authors include J. Jabez, S. Revathy, G. S. Anandha Mala, Mohamed Amine Khadimallah, Yasser Vasseghian, Arun Meyyazhagan, Shreeshivadasan Chelliapan, Hesam Kamyab, R. Subhashini and Maryam Safa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

V. Maria Anu

42 papers receiving 408 citations

Peers

V. Maria Anu
Comparison fields: 5 of 102
  • Management Science and Operations Research 97
  • Industrial and Manufacturing Engineering 97
  • Computer Networks and Communications 60
  • Electrical and Electronic Engineering 55
  • Artificial Intelligence 50
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Citations per field, relative to V. Maria Anu
V. Maria Anu · 1×
Citations per year, relative to V. Maria Anu
V. Maria Anu · 1×

Countries citing papers authored by V. Maria Anu

Since Specialization
Citations

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

Fields of papers citing papers by V. Maria Anu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Maria Anu. 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 V. Maria Anu. The network helps show where V. Maria Anu may publish in the future.

Co-authorship network of co-authors of V. Maria Anu

This figure shows the co-authorship network connecting the top 25 collaborators of V. Maria Anu. A scholar is included among the top collaborators of V. Maria Anu 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 V. Maria Anu. V. Maria Anu 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 6
6 18
7 0
8 21
9 1
10 2
11 2
12 1
13 7
14 7
15
A Complete Privacy Preservation System for Data Mining Using Function Approximation.
2
16
Livestock monitoring using RFID with R+ tree indexing
5
17 1
18 5
19 1
20
The Team Approach to Developing Baseline Teaching Skills
1

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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