D. Deepa

34 papers receiving 202 citations

Peers

D. Deepa
Comparison fields: 5 of 60
  • Human-Computer Interaction 19
  • Information Systems 49
  • Computer Vision and Pattern Recognition 40
  • Health Information Management 8
  • Computer Networks and Communications 38
Replace Manjunathan Alagarsamy with:
Manjunathan Alagarsamy India
Rahabul Islam Bangladesh
M. Rajmohan India
Mohanaprakash T A India
Bima Sena Bayu Dewantara Indonesia
Nuvvusetty Rajasekhar India
Mairo Leier Estonia
Surindernath Sivakumar India
Finney Daniel Shadrach India
T. R. Saravanan India
D. Deepa relative to Manjunathan Alagarsamy India Manjunathan Alagarsamy's profile →
Citations per field
00.5×10×20×26×
Manjunathan Alagarsamy · 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 23 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202026
2 202224
3 202218
4 202016
5 202115
6 202114
7 202213
8 202111
9 20199
10 20239
11 20247
12 20236
13 20236
14 20215
15 20244
16 20234
17 20214
18 20203
19 20213
20 20203

About D. Deepa

D. Deepa is a scholar working on Health Information Management, Computer Networks and Communications, Artificial Intelligence, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 220 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Blockchain Technology Applications and Security (4 papers), Artificial Intelligence in Healthcare (4 papers), EEG and Brain-Computer Interfaces (4 papers), COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (19 citations), Information Systems (49 citations), Computer Vision and Pattern Recognition (40 citations), Health Information Management (8 citations) and Computer Networks and Communications (38 citations). D. Deepa has collaborated with scholars based in India, United States and Jordan. Frequent co-authors include A. Sivasangari, P. Ajitha, M. Lakshmi, G. Rajesh, X. Mercilin Raajini, Ramanathan Lakshmanan, J. Jabez, Pragnya Suresh, S Hemalatha and Hamed Fawareh. Their work appears in journals such as Multimedia Tools and Applications, Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications, Physical Communication, Biomedical Signal Processing and Control and Journal of Electronic Materials.

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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