Uddagiri Sirisha

24 total papers · 498 total citations
20 papers, 269 citations indexed

About

Uddagiri Sirisha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Uddagiri Sirisha has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Uddagiri Sirisha's work include Sentiment Analysis and Opinion Mining (3 papers), Advanced Neural Network Applications (3 papers) and Topic Modeling (3 papers). Uddagiri Sirisha is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Advanced Neural Network Applications (3 papers) and Topic Modeling (3 papers). Uddagiri Sirisha collaborates with scholars based in India, Malaysia and Brazil. Uddagiri Sirisha's co-authors include S. Phani Praveen, B. Sai Chandana, Parvathaneni Naga Srinivasu, Paolo Barsocchi, Akash Kumar Bhoi, Sai Srinivas Vellela, Thulasi Bikku, Fatima Rayan Awad Ahmed, Chan Yeob Yeun and Mohammad Kamrul Hasan and has published in prestigious journals such as Scientific Reports, Sensors and Frontiers in Medicine.

In The Last Decade

Uddagiri Sirisha

15 papers receiving 248 citations

Hit Papers

Statistical Analysis of D... 2023 2026 2024 2023 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Uddagiri Sirisha 77 74 32 22 20 20 269
Prerna Sharma 32 0.4× 94 1.3× 58 1.8× 37 1.7× 33 1.6× 28 326
G. R. Sreekanth 46 0.6× 46 0.6× 76 2.4× 16 0.7× 24 1.2× 23 242
Buse Melis Özyıldırım 71 0.9× 118 1.6× 20 0.6× 10 0.5× 30 1.5× 13 322
K. Thinakaran 72 0.9× 87 1.2× 17 0.5× 9 0.4× 19 0.9× 23 304
Gurram Sunitha 74 1.0× 55 0.7× 19 0.6× 7 0.3× 20 1.0× 26 189
M. Ramkumar 126 1.6× 61 0.8× 17 0.5× 16 0.7× 14 0.7× 37 293
Pavlo Radiuk 79 1.0× 77 1.0× 31 1.0× 6 0.3× 46 2.3× 27 259
Anh H. Vo 93 1.2× 65 0.9× 26 0.8× 4 0.2× 20 1.0× 17 299
Abdullah Elen 73 0.9× 89 1.2× 30 0.9× 9 0.4× 44 2.2× 32 266
Nishtha Hooda 69 0.9× 120 1.6× 29 0.9× 26 1.2× 57 2.9× 22 308

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 of co-authors of Uddagiri Sirisha

This figure shows the co-authorship network connecting the top 25 collaborators of Uddagiri Sirisha. A scholar is included among the top collaborators of Uddagiri Sirisha 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 Uddagiri Sirisha. Uddagiri Sirisha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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