S. Sudha

82 papers receiving 432 citations

Peers

S. Sudha
Comparison fields: 5 of 98
  • Filtration and Separation 13
  • Computer Networks and Communications 127
  • Computer Vision and Pattern Recognition 62
  • Electrical and Electronic Engineering 160
  • Artificial Intelligence 79
Replace Jia Luo with:
Jia Luo China
S. R. N. Reddy India
Zerina Kapetanovic United States
D. Dhinakaran India
Francisco Javier Ferrández Pastor Spain
G. P. Ramesh India
Muhammad Kashif Pakistan
Doan Perdana Indonesia
M. Rajesh India
Ivan Beloev Bulgaria
S. Sudha relative to Jia Luo China Jia Luo's profile →
Citations per field
00.5×
Jia Luo · 1×
Citations per year

Countries citing papers authored by S. Sudha

Since Specialization
Citations

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

Fields of papers citing papers by S. Sudha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201429
2 201829
3 201920
4 202018
5 201917
6 201417
7 202114
8 199114
9
Socio-economic Status of Livestock farmers of Narasapura Village - A Benchmark Analysis
201013
10 201813
11 202212
12 202312
13 201611
14 202011
15 201711
16 202110
17 20189
18 20208
19 20237
20 20207

About S. Sudha

S. Sudha is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 468 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), IoT-based Smart Home Systems (9 papers), Advanced Neural Network Applications (7 papers), Retinal Imaging and Analysis (7 papers), Smart Agriculture and AI (6 papers), Digital Imaging for Blood Diseases (6 papers), Network Traffic and Congestion Control (5 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Filtration and Separation (13 citations), Computer Networks and Communications (127 citations), Computer Vision and Pattern Recognition (62 citations), Electrical and Electronic Engineering (160 citations) and Artificial Intelligence (79 citations). S. Sudha has collaborated with scholars based in India, United States and Italy. Frequent co-authors include N. Ammasai Gounden, S. Baskar, S. Krishnaswamy, Dinesh Kumar Anguraj, K. Jayanthi, S.B. Sawant, P. Neelamegam, D. Saravanan, Jyeshtharaj B. Joshi and A. Srinivasan. Their work appears in journals such as Wireless Personal Communications, Computers, materials & continua/Computers, materials & continua (Print), Sadhana, Soft Computing and Distributed and Parallel Databases.

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.

Explore authors with similar magnitude of impact