H. Azath

593 citations
28 papers · 348 · h-index 9

Impact in

Papers in

H. Azath

23 papers receiving 328 citations

Peers

H. Azath
Comparison fields: 5 of 76
  • Computer Networks and Communications 119
  • Information Systems 86
  • Software 12
  • Health Information Management 10
  • Medical Laboratory Technology 3
Replace Andrés Molina–Markham with:
Andrés Molina–Markham United States
Shakirah Mohd Taib Malaysia
Young-Sung Son South Korea
Fotios Zantalis Greece
Abhinav Tomar India
Smys S. India
Haidawati Nasir Malaysia
N. Arulkumar India
Sadeeq Jan Pakistan
N. Sivakumar India
H. Azath relative to Andrés Molina–Markham United States Andrés Molina–Markham's profile →
Citations per field
00.5×11.6×
Andrés Molina–Markham · 1×
Citations per year

Countries citing papers authored by H. Azath

Since Specialization
Citations

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

Fields of papers citing papers by H. Azath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Azath, 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 H. Azath Line = papers co-authored together H. Azath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 202345
3 202337
4 202434
5 202333
6 202333
7 202332
8 201922
9 20218
10 20217
11 20126
12 20185
13 20235
14 20225
15 20233
16 20223
17 20242
18 20252
19 20251
20 20231

About H. Azath

H. Azath is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Health Information Management, having authored 28 papers that have together received 348 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Advanced Malware Detection Techniques (5 papers), Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (4 papers), Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers), IoT and Edge/Fog Computing (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Networks and Communications (119 citations), Information Systems (86 citations), Software (12 citations), Health Information Management (10 citations) and Medical Laboratory Technology (3 citations). H. Azath has collaborated with scholars based in India, South Korea and Zambia. Frequent co-authors include S. Murugan, K. Padmanaban, A. Velmurugan, Anshuman Kumar, Hwankuk Kim, Gaurav Choudhary, Shishir Kumar Shandilya, C. Srinivasan, Uma Maheswari Rajagopalan and P. Sharmila. Their work appears in journals such as Wireless Personal Communications, Expert Systems with Applications, Sustainability, Journal of Visual Communication and Image Representation and IET Software.

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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