A Jenefa

452 citations
56 papers · 232 · h-index 9

Impact in

Papers in

A Jenefa

46 papers receiving 227 citations

Peers

A Jenefa
Comparison fields: 5 of 53
  • Artificial Intelligence 101
  • Computer Vision and Pattern Recognition 39
  • Automotive Engineering 19
  • Media Technology 14
  • Signal Processing 17
Replace Kent Gauen with:
Kent Gauen United States
Leema Nelson India
Shraddha V. Pandit India
R.B. Revathi India
Yibo Han China
Raju Anitha India
Susama Bagchi Malaysia
Bernardo Camajori Tedeschini Italy
Devendra Kumar Somwanshi India
Yuanyuan Pan Macao
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Citations per field
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Citations per year

Countries citing papers authored by A Jenefa

Since Specialization
Citations

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

Fields of papers citing papers by A Jenefa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside A Jenefa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A Jenefa Line = papers co-authored together A Jenefa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202322
2 202315
3 202314
4 202312
5 202112
6 201711
7 202311
8 20239
9 20249
10 20248
11 20237
12 20237
13 20247
14 20237
15 20236
16 20185
17 20244
18 20244
19 20234
20 20234

About A Jenefa

A Jenefa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Signal Processing, having authored 56 papers that have together received 232 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Blockchain Technology Applications and Security (6 papers), Network Security and Intrusion Detection (6 papers), AI in cancer detection (5 papers), IoT and Edge/Fog Computing (4 papers), Handwritten Text Recognition Techniques (3 papers), IoT-based Smart Home Systems (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (101 citations), Computer Vision and Pattern Recognition (39 citations), Automotive Engineering (19 citations), Media Technology (14 citations) and Signal Processing (17 citations). A Jenefa has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Vikas Vikas, Natarajan Senthilkumar, Thompson Stephan, Arikumar K. Selvaraj, K. Vidhya, S.C. Punitha, Sabari Nathan, C. Beulah Christalin Latha, J. Anitha and Ramachandran Sangeetha. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Multiagent and Grid Systems, International Journal of Knowledge-based and Intelligent Engineering Systems and Intelligent Decision Technologies.

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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