Usha Mittal

724 citations
28 papers · 400 · h-index 11

Impact in

Papers in

Usha Mittal

25 papers receiving 380 citations

Peers

Usha Mittal
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 131
  • Media Technology 51
  • Analytical Chemistry 41
  • Developmental Biology 9
  • Human-Computer Interaction 23
Replace S Santosh Kumar with:
S Santosh Kumar India
Wahidur Rahman Bangladesh
Sabbir Ahmed Bangladesh
Rhen Anjerome Bedruz Philippines
A C Ramachandra India
Sudhir Rao Rupanagudi India
C. Senthilkumar India
Muhammad Zeeshan Khan Pakistan
R. Dhaya Saudi Arabia
Francesco Salvetti Italy
Usha Mittal relative to S Santosh Kumar India S Santosh Kumar's profile →
Citations per field
00.5×5.1×
S Santosh Kumar · 1×
Citations per year

Countries citing papers authored by Usha Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Usha Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Usha Mittal, 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 Usha Mittal Line = papers co-authored together Usha Mittal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 202271
3 202236
4 202332
5 202221
6 201920
7 202320
8 202220
9 201915
10 202014
11 202111
12 202110
13 20248
14 20217
15 20207
16
COMPARATIVE ANALYSIS OF VARIOUS AUTHENTICATION TECHNIQUES IN CLOUD COMPUTING
20136
17
Modified Watershed Segmentation with Denoising of Medical Images
20135
18 20204
19 20213
20 20253

About Usha Mittal

Usha Mittal is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Plant Science, Building and Construction and Media Technology, having authored 28 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Date Palm Research Studies (5 papers), Smart Agriculture and AI (5 papers), Traffic Prediction and Management Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Medical Image Segmentation Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Media Technology (51 citations), Analytical Chemistry (41 citations), Developmental Biology (9 citations) and Human-Computer Interaction (23 citations). Usha Mittal has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include Priyanka Chawla, Rajeev Tiwari, N. Z. Jhanjhi, Jimmy Singla, Ankita Wadhawan, M. Shamim Hossain, Abdulsalam Yassine, Manik Rakhra, Arun Singh and Pooja Rana. Their work appears in journals such as Archives of Computational Methods in Engineering, PeerJ Computer Science, Multimedia Tools and Applications, Sensors and Neural Computing and Applications.

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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