G. Nagarajan

1.4k total citations
70 papers, 362 citations indexed

About

G. Nagarajan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, G. Nagarajan has authored 70 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in G. Nagarajan's work include Network Security and Intrusion Detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Image Retrieval and Classification Techniques (7 papers). G. Nagarajan is often cited by papers focused on Network Security and Intrusion Detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Image Retrieval and Classification Techniques (7 papers). G. Nagarajan collaborates with scholars based in India, United States and Egypt. G. Nagarajan's co-authors include R. I. Minu, B. Muthukumar, K. K. Thyagharajan, T. Prem Jacob, A. Pravin, Mohamed Abouhawwash, Arikketh Devi, K. Venkatachalam, G. K. D. Prasanna Venkatesan and G. Sakthivel and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Microchemical Journal.

In The Last Decade

G. Nagarajan

52 papers receiving 311 citations

Peers

G. Nagarajan
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 113
  • Artificial Intelligence 94
  • Computer Networks and Communications 84
  • Information Systems 59
  • Signal Processing 54
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Citations per field, relative to G. Nagarajan
G. Nagarajan · 1×
Citations per year, relative to G. Nagarajan
G. Nagarajan · 1×

Countries citing papers authored by G. Nagarajan

Since Specialization
Citations

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

Fields of papers citing papers by G. Nagarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Nagarajan

This figure shows the co-authorship network connecting the top 25 collaborators of G. Nagarajan. A scholar is included among the top collaborators of G. Nagarajan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Nagarajan. G. Nagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 6
7 1
8 0
9 1
10 1
11 2
12 6
13
Crop Suggestion Using Machine Learning Based on Soil Conditions
0
14 8
15 10
16 4
17
Power Supply Noise Reduction in Mixed Signal System-On-Chip with Active Decoupling Inductor
0
18
Cognitive computational semantic for high resolution image interpretation using artificial neural network
6
19 6
20 8

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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