S. Indu

2.1k citations
164 papers · 1.4k · h-index 21

Impact in

Papers in

S. Indu

148 papers receiving 1.3k citations

Peers

S. Indu
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 391
  • Computer Networks and Communications 349
  • Animal Science and Zoology 116
  • Media Technology 96
  • Signal Processing 89
Replace Shijia Pan with:
Shijia Pan United States
Sungbum Pan South Korea
Gourab Sen Gupta New Zealand
Wei Qi Yan New Zealand
Lin Meng Japan
Habib Ullah Norway
Serge N. Demidenko Malaysia
Md. Al Mehedi Hasan Bangladesh
Ángel Sánchez Spain
Emmeric Tanghe Belgium
S. Indu relative to Shijia Pan United States Shijia Pan's profile →
Citations per field
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Shijia Pan · 1×
Citations per year

Countries citing papers authored by S. Indu

Since Specialization
Citations

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

Fields of papers citing papers by S. Indu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 202352
3 202250
4 201944
5 200944
6 201342
7 202037
8 202236
9 202034
10 201732
11 202332
12 200730
13 202329
14 202228
15 201927
16 202327
17 201926
18 202024
19 202124
20 202422

About S. Indu

S. Indu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Artificial Intelligence and Automotive Engineering, having authored 164 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (19 papers), Video Surveillance and Tracking Methods (18 papers), Handwritten Text Recognition Techniques (17 papers), Network Security and Intrusion Detection (13 papers), Autonomous Vehicle Technology and Safety (13 papers), Security in Wireless Sensor Networks (13 papers), Vehicle License Plate Recognition (12 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Computer Networks and Communications (349 citations), Animal Science and Zoology (116 citations), Media Technology (96 citations) and Signal Processing (89 citations). S. Indu has collaborated with scholars based in India, Ethiopia and United Kingdom. Frequent co-authors include Jeebananda Panda, Daya Sagar Gupta, Veerasamy Sejian, S. M. K. Naqvi, Santanu Chaudhury, Chhavi Dhiman, Divyashikha Sethia, Neeta Pandey, Lava Bhargava and Manjari Gupta. Their work appears in journals such as Multimedia Tools and Applications, Wireless Personal Communications, Wireless Communications and Mobile Computing, Computing and Electronics.

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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