S. Abijah Roseline

516 citations
10 papers · 345 indexed · 1 hit paper · h-index 7
Topics
Network Security and Intrusion Detection (7 papers)Advanced Malware Detection Techniques (7 papers)Anomaly Detection Techniques and Applications (4 papers)
Partner nations
IndiaLebanonSouth Korea

In The Last Decade

S. Abijah Roseline

10 papers receiving 325 citations

Hit Papers

An Efficient DenseNet-Based Deep Learning Model for Malwa...2021202620222024202150100150

Peers

S. Abijah Roseline
Comparison fields: 5 of 55
  • Signal Processing 274
  • Computer Networks and Communications 249
  • Artificial Intelligence 173
  • Information Systems 101
  • Computer Vision and Pattern Recognition 35
Replace J. Hemalatha with:
J. Hemalatha India
Afsah Anwar United States
Pooja Yadav India
Yin Minn Pa Pa Japan
Yoshihiro Oyama Japan
Jianguo Jiang China
Christoffer Dall United States
Ali Tekeoglu United States
Yukiko Yamaguchi Japan
Vinay Sachidananda Singapore
S. Abijah Roseline relative to J. Hemalatha India J. Hemalatha's profile →
Citations per field
00.5×1.5×2.1×
J. Hemalatha · 1×
Citations per year

Countries citing papers authored by S. Abijah Roseline

Since Specialization
Citations

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

Fields of papers citing papers by S. Abijah Roseline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Abijah Roseline. 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 S. Abijah Roseline. The network helps show where S. Abijah Roseline may publish in the future.

Co-authorship network of co-authors of S. Abijah Roseline

This figure shows the co-authorship network connecting the top 25 collaborators of S. Abijah Roseline. A scholar is included among the top collaborators of S. Abijah Roseline 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 S. Abijah Roseline. S. Abijah Roseline is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 10
3 2
4 28
5 6
6
An Efficient DenseNet-Based Deep Learning Model for Malware Detectionbreakdown →
171
7 104
8 3
9 12
10 7

About S. Abijah Roseline

S. Abijah Roseline is a scholar working on Software, Signal Processing and Computer Networks and Communications, having authored 10 papers that have together received 345 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (274 citations), Computer Networks and Communications (249 citations) and Software (22 citations). S. Abijah Roseline has collaborated with scholars based in India, Lebanon and South Korea. Frequent co-authors include S. Geetha, Seifedine Kadry, J. Hemalatha, Robertas Damaševičius, Yunyoung Nam, C. Balasubramanian and N. Venkateswaran. Their work appears in journals such as IEEE Access, Wireless Networks and Computers & Electrical Engineering.

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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