P. Nagaraj

123 papers receiving 1.4k citations

Peers

P. Nagaraj
Comparison fields: 5 of 108
  • Health Information Management 196
  • Signal Processing 131
  • Computer Vision and Pattern Recognition 249
  • Artificial Intelligence 375
  • Neurology 88
Replace Noorbakhsh Amiri Golilarz with:
Noorbakhsh Amiri Golilarz China
Neelu Khare India
Piyush Kumar Pareek India
Dilovan Asaad Zebari Iraq
S. Vimal India
Shtwai Alsubai Saudi Arabia
T R Mahesh India
Abdullah Alqahtani Saudi Arabia
Akansha Singh India
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Citations per field
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Noorbakhsh Amiri Golilarz · 1×
Citations per year

Countries citing papers authored by P. Nagaraj

Since Specialization
Citations

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

Fields of papers citing papers by P. Nagaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 202186
3 202162
4 202061
5 202259
6 202149
7 202044
8 202242
9 202240
10 202235
11 202034
12 202034
13 202133
14 201932
15 202132
16 202031
17 202131
18 202128
19 202227
20 202126

About P. Nagaraj

P. Nagaraj is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Information Systems and Health Information Management, having authored 140 papers that have together received 1.5k indexed citations. Recurring topics across this work include Intravenous Infusion Technology and Safety (16 papers), Artificial Intelligence in Healthcare (16 papers), Brain Tumor Detection and Classification (13 papers), Smart Agriculture and AI (12 papers), COVID-19 diagnosis using AI (12 papers), IoT-based Smart Home Systems (8 papers), AI in cancer detection (7 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Health Information Management (196 citations), Signal Processing (131 citations), Computer Vision and Pattern Recognition (249 citations), Artificial Intelligence (375 citations) and Neurology (88 citations). P. Nagaraj has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include P. Deepalakshmi, V. Muneeswaran, K. Muthamil Sudar, N. Selvakumar, P. Chinnasamy, Romany F. Mansour, J. Deny, B. Perumal, M. Pallikonda Rajasekaran and N. K. Mondal. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Electronic Government an International Journal, Biomedical Signal Processing and Control, Journal of Nondestructive Evaluation and Journal of Microscopy.

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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