D. Akila

837 citations
46 papers · 235 · h-index 9

Impact in

Papers in

    • Blockchain Technology Applications and Security 6
    • Cloud Computing and Resource Management 6
    • Data Mining Algorithms and Applications 4
    • Imbalanced Data Classification Techniques 4

D. Akila

35 papers receiving 221 citations

Peers

D. Akila
Comparison fields: 5 of 61
  • Information Systems 83
  • Computer Networks and Communications 75
  • Signal Processing 28
  • Artificial Intelligence 59
  • Health Information Management 6
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D. Akila relative to Ismael Jannoud Jordan Ismael Jannoud's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Akila

Since Specialization
Citations

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

Fields of papers citing papers by D. Akila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 202317
3 202116
4 202314
5 202112
6 202311
7 202410
8 20229
9 20259
10 20248
11 20198
12 20248
13 20198
14 20218
15 20237
16 20216
17 20225
18 20215
19 20214
20 20244

About D. Akila

D. Akila is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 46 papers that have together received 235 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (6 papers), Cloud Computing and Resource Management (6 papers), Data Mining Algorithms and Applications (4 papers), Imbalanced Data Classification Techniques (4 papers), Water Quality Monitoring Technologies (3 papers), Online Learning and Analytics (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Information Systems (83 citations), Computer Networks and Communications (75 citations), Signal Processing (28 citations), Artificial Intelligence (59 citations) and Health Information Management (6 citations). D. Akila has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include Souvik Pal, N. Z. Jhanjhi, G. Suseendran, Azmi Shawkat Abdulbaqi, Faisal S. Alsubaei, Abdulaleem Ali Almazroi, Anand Nayyar, Ahmed J. Obaid, Praveen Mannam and J. Deny. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Sustainability, Computers & Electrical Engineering, Education and Information Technologies and Wireless Personal Communications.

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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