Siva Sai

1.2k citations
39 papers · 598 indexed · 3 hit papers · h-index 14
Topics
Blockchain Technology Applications and Security (6 papers)IoT and Edge/Fog Computing (5 papers)Hate Speech and Cyberbullying Detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Siva Sai

36 papers receiving 573 citations

Hit Papers

Generative AI for Transformative Healthcare: A Comprehens...202420262025202420242024255075

Peers

Siva Sai
Comparison fields: 5 of 87
  • Artificial Intelligence 175
  • Computer Networks and Communications 118
  • Information Systems 113
  • Computer Vision and Pattern Recognition 81
  • Electrical and Electronic Engineering 69
Replace Pengyuan Zhou with:
Pengyuan Zhou China
Mohammad Aljanabi Iraq
Chetan Arora Australia
Feifei Shi China
Ajay Bandi United States
Ingrid Nunes Brazil
Stuart Russell United States
Anthony Levas United States
Sugato Bagchi United States
Ramachandra Kota United Kingdom
Siva Sai relative to Pengyuan Zhou China Pengyuan Zhou's profile →
Citations per field
00.5×4.5×
Pengyuan Zhou · 1×
Citations per year

Countries citing papers authored by Siva Sai

Since Specialization
Citations

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

Fields of papers citing papers by Siva Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siva Sai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 0
4 10
5 6
6 2
7 39
8 11
9 14
10 7
11 1
12 12
13 6
14 5
15 19
16
A Comprehensive Review on Generative AI for Educationbreakdown →
74
17 7
18 29
19 52
20
Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text.
10

About Siva Sai

Siva Sai is a scholar working on Health Informatics, Human-Computer Interaction and Information Systems, having authored 39 papers that have together received 598 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), IoT and Edge/Fog Computing (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). The work is most often cited by research in Health Informatics (60 citations), Human-Computer Interaction (51 citations) and Artificial Intelligence (175 citations). Siva Sai has collaborated with scholars based in India, Singapore and United Kingdom. Frequent co-authors include Vinay Chamola, Biplab Sikdar, Mohsen Guizani, Joel J. P. C. Rodrigues, Yashvardhan Sharma, Heena Rathore, Amir Hussain, Santosh Kumar Yadav, Kamlesh Tiwari and Vikas Hassija. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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