B. Annappa

1.3k total citations
86 papers, 714 citations indexed

About

B. Annappa is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, B. Annappa has authored 86 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 30 papers in Computer Networks and Communications and 30 papers in Artificial Intelligence. Recurrent topics in B. Annappa's work include Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (14 papers) and Privacy-Preserving Technologies in Data (9 papers). B. Annappa is often cited by papers focused on Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (14 papers) and Privacy-Preserving Technologies in Data (9 papers). B. Annappa collaborates with scholars based in India, United Kingdom and Singapore. B. Annappa's co-authors include Shubham Dodia, P A Mahesh, Swapan Bhattacharya, Animesh Acharjee, Georgios V. Gkoutos, Nidhi Arora, Rahul Kumar Jain, Mohit P. Tahiliani, Lipo Wang and Dharavath Ramesh and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

B. Annappa

79 papers receiving 681 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Annappa India 14 233 222 176 146 92 86 714
Rizwana Irfan Pakistan 10 195 0.8× 209 0.9× 158 0.9× 55 0.4× 24 0.3× 17 543
Umar Shoaib Pakistan 14 177 0.8× 262 1.2× 142 0.8× 99 0.7× 32 0.3× 40 602
Zi Yang China 13 288 1.2× 444 2.0× 113 0.6× 59 0.4× 128 1.4× 34 1.1k
Mohammed Kayed Egypt 13 512 2.2× 395 1.8× 264 1.5× 115 0.8× 23 0.3× 39 985
Ester Zumpano Italy 19 131 0.6× 558 2.5× 210 1.2× 187 1.3× 76 0.8× 119 1.0k
Saman Forouzandeh Australia 15 198 0.8× 483 2.2× 95 0.5× 34 0.2× 68 0.7× 24 917
Ahmed Alsayat Saudi Arabia 12 184 0.8× 257 1.2× 163 0.9× 29 0.2× 58 0.6× 23 599

Countries citing papers authored by B. Annappa

Since Specialization
Citations

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

Fields of papers citing papers by B. Annappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Annappa

This figure shows the co-authorship network connecting the top 25 collaborators of B. Annappa. A scholar is included among the top collaborators of B. Annappa 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 B. Annappa. B. Annappa 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
1.
Annappa, B., et al.. (2024). Federated learning for digital healthcare: concepts, applications, frameworks, and challenges. Computing. 106(9). 3113–3150. 3 indexed citations
2.
Ramesh, Sukriti, et al.. (2024). BENN : Balanced Ensemble Neural Network for Handling Class Imbalance in Big Data. Expert Systems. 42(2).
3.
Annappa, B., et al.. (2024). Driver Drowsiness Detection Using Deep Learning *. 1–7.
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Annappa, B., et al.. (2024). Smart client selection strategies for enhanced federated learning in digital healthcare applications. Multimedia Tools and Applications. 84(19). 21589–21604. 3 indexed citations
7.
Annappa, B., et al.. (2024). Exploratory Analysis of Methods, Techniques, and Metrics to Handle Class Imbalance Problem. Procedia Computer Science. 235. 863–877. 2 indexed citations
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9.
Annappa, B., et al.. (2023). A Multimodal Contrastive Federated Learning for Digital Healthcare. SN Computer Science. 4(5). 1 indexed citations
10.
Annappa, B., et al.. (2023). Cross-Database Facial Expression Recognition using CNN with Attention Mechanism. 1–7. 1 indexed citations
11.
Annappa, B., et al.. (2023). Light-weight Deep Learning Model for Cataract Detection using Novel Activation Function. 1–6. 1 indexed citations
12.
Annappa, B., et al.. (2023). Simulating Federated Transfer Learning for Lung Segmentation using Modified UNet Model. Procedia Computer Science. 218. 1485–1496. 14 indexed citations
13.
Annappa, B., et al.. (2022). Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes. Biology. 11(3). 365–365. 33 indexed citations
14.
Jain, Rahul Kumar, et al.. (2021). COVID-19: Automatic detection from X-ray images by utilizing deep learning methods. Expert Systems with Applications. 176. 114883–114883. 75 indexed citations
15.
Annappa, B., et al.. (2021). Cloud Computing Enabled Big Multi-Omics Data Analytics. Bioinformatics and Biology Insights. 15. 739601169–739601169. 37 indexed citations
16.
Annappa, B., et al.. (2020). Real-time Big Data Analytics Framework with Data Blending Approach for Multiple Data sources in Smart City Applications. Scalable Computing Practice and Experience. 21(4). 611–623. 7 indexed citations
17.
Shetty, Keerthi & B. Annappa. (2019). Clumped-MCEM: Inference for multistep transcriptional processes. Computational Biology and Chemistry. 81. 16–20. 1 indexed citations
18.
Annappa, B., et al.. (2016). Discovery of optimal neurons and hidden layers in feed-forward Neural Network. 286–291. 13 indexed citations
19.
Annappa, B., et al.. (2016). Social network pruning for building optimal social network: A user perspective. Knowledge-Based Systems. 117. 101–110. 10 indexed citations
20.

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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