Uddagiri Sirisha

517 citations
20 papers · 280 indexed · 1 hit paper · h-index 7

Uddagiri Sirisha

15 papers receiving 257 citations

Hit Papers

Statistical Analysis of Design Aspects of Various YOLO-Ba...1082023202620242025255075100

Peers

Uddagiri Sirisha
Comparison fields: 5 of 83
  • Health Information Management 22
  • Computer Vision and Pattern Recognition 78
  • Health Informatics 4
  • Artificial Intelligence 79
  • Media Technology 17
Replace G. Sajiv with:
G. Sajiv India
Carlos de Oliveira Affonso Brazil
Nidhi Sindhwani India
Tanvir Ahmad China
Ammar Chouchane Algeria
Rajesh Sharma R India
Pavlo Radiuk Ukraine
Manel Ayadi Saudi Arabia
Emine Cengil Türkiye
Amr Abozeid Saudi Arabia
Uddagiri Sirisha relative to G. Sajiv India G. Sajiv's profile →
Citations per field
00.5×3.4×
G. Sajiv · 1×
Citations per year

Countries citing papers authored by Uddagiri Sirisha

Since Specialization
Citations

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

Fields of papers citing papers by Uddagiri Sirisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Uddagiri Sirisha, 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 Uddagiri Sirisha Line = papers co-authored together Uddagiri Sirisha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20240
5 20240
6 20243
7 20246
8 202412
9 202431
10 20241
11 20236
12
Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detectionbreakdown →
2023108
13 20233
14 20232
15 202321
16 20230
17 202347
18 20236
19 202220
20 202213

About Uddagiri Sirisha

Uddagiri Sirisha is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (3 papers), Advanced Neural Network Applications (3 papers), Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare (2 papers), Smart Agriculture and AI (2 papers), Multimodal Machine Learning Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Information Management (22 citations), Computer Vision and Pattern Recognition (78 citations) and Health Informatics (4 citations). Uddagiri Sirisha has collaborated with scholars based in India, Malaysia and Brazil. Frequent co-authors include S. Phani Praveen, B. Sai Chandana, Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Paolo Barsocchi, Sai Srinivas Vellela, Thulasi Bikku, Chan Yeob Yeun, Mohammad Kamrul Hasan and Gabriel Avelino Sampedro. Their work appears in journals such as Scientific Reports, Sensors and Frontiers in Medicine.

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

Rankless by CCL
2026