J. Anuradha

1.6k citations
31 papers · 942 indexed · 1 hit paper · h-index 11
Topics
Network Security and Intrusion Detection (4 papers)Face and Expression Recognition (4 papers)Rough Sets and Fuzzy Logic (4 papers)
Journals
SHILAP Revista de lepidopterologíaEnvironmental Science and Pollution ResearchCluster Computing
Partner nations
IndiaSri LankaCyprus

In The Last Decade

J. Anuradha

28 papers receiving 877 citations

Hit Papers

A Review of Feature Selection and Its Methods20192026202120232019100200300400

Peers

J. Anuradha
Comparison fields: 5 of 133
  • Artificial Intelligence 352
  • Information Systems 176
  • Computer Networks and Communications 162
  • Computer Vision and Pattern Recognition 126
  • Signal Processing 91
Replace Daphne Lopez with:
Daphne Lopez India
Tawfiq Hasanin Saudi Arabia
Hany F. ElYamany Egypt
Manjusha Pandey India
Subhendu Kumar Pani India
Sabah Mohammed Canada
Ebrahim Mahdipour Iran
Junfei Qiu China
Hoda Mashayekhi Iran
Srikanta Patnaik India
J. Anuradha relative to Daphne Lopez India Daphne Lopez's profile →
Citations per field
00.5×3.5×
Daphne Lopez · 1×
Citations per year

Countries citing papers authored by J. Anuradha

Since Specialization
Citations

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

Fields of papers citing papers by J. Anuradha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Anuradha

This figure shows the co-authorship network connecting the top 25 collaborators of J. Anuradha. A scholar is included among the top collaborators of J. Anuradha 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 J. Anuradha. J. Anuradha 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
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 24
6 4
7 2
8 4
9
A Review of Feature Selection and Its Methodsbreakdown →
423
10 9
11 13
12 7
13 2
14
HYBRID CLUSTERING ALGORITHM USING POSSIBILISTIC ROUGH C-MEANS
1
15 3
16 83
17 2
18
Diagnosis of Psychopathology using Clustering and Rule Extraction using Rough Set
1
19
Classification and Rule Extraction using Rough Set for Diagnosis of Liver Disease and its Types
35
20 18

About J. Anuradha

J. Anuradha is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 31 papers that have together received 942 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Face and Expression Recognition (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Health Information Management (88 citations), Artificial Intelligence (352 citations) and Signal Processing (91 citations). J. Anuradha has collaborated with scholars based in India, Sri Lanka and Cyprus. Frequent co-authors include B. Venkatesh, B. K. Tripathy, S. Karthik, A Prathik, Manik Sharma, Balamurugan Balusamy and Victor Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Cluster Computing.

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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