D. Deepa

21 papers receiving 102 citations

Peers

D. Deepa
Comparison fields: 5 of 45
  • Human-Computer Interaction 10
  • Computer Science Applications 7
  • Health Information Management 6
  • Computer Vision and Pattern Recognition 24
  • Safety, Risk, Reliability and Quality 9
Replace S. Muruganandam with:
S. Muruganandam India
Parteek Bhatia India
X. Mercilin Raajini India
Guangzhen Liu China
Klaus Broelemann Germany
Yihang Chen China
S Sanjana Bangladesh
K. Rajkumar India
R. Puviarasi India
D. Deepa relative to S. Muruganandam India S. Muruganandam's profile →
Citations per field
00.5×
S. Muruganandam · 1×
Citations per year

Countries citing papers authored by D. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by D. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside D. Deepa, 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. Deepa Line = papers co-authored together D. Deepa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202024
2 202216
3 202212
4 202110
5 20209
6 20238
7
Dynamic Enforcement of Causal Consistency for a Geo-Replicated Cloud Storage System
20206
8 20244
9 20233
10 20233
11 20203
12 20193
13 20213
14 20242
15 20222
16 20232
17 20241
18 20231
19 20231
20 20201

About D. Deepa

D. Deepa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Civil and Structural Engineering, having authored 26 papers that have together received 116 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (3 papers), Artificial Intelligence in Healthcare (3 papers), Smart Agriculture and AI (3 papers), Blockchain Technology Applications and Security (2 papers), Imbalanced Data Classification Techniques (2 papers), EEG and Brain-Computer Interfaces (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (10 citations), Computer Science Applications (7 citations), Health Information Management (6 citations), Computer Vision and Pattern Recognition (24 citations) and Safety, Risk, Reliability and Quality (9 citations). D. Deepa has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include A. Sivasangari, M. Lakshmi, P. Ajitha, P. Suresh, S Hemalatha, R. M. Gomathi, P. Anitha, J. Jabez, Rakesh Kumar and M. Karthiga. Their work appears in journals such as Multimedia Tools and Applications, Journal of Electronic Materials, Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, Biomedical Signal Processing and Control and Physical Communication.

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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