S. Sheeba Rani

564 total citations
12 papers, 292 citations indexed

About

S. Sheeba Rani is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, S. Sheeba Rani has authored 12 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in S. Sheeba Rani's work include IoT and Edge/Fog Computing (3 papers), AI in cancer detection (2 papers) and Blockchain Technology Applications and Security (2 papers). S. Sheeba Rani is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), AI in cancer detection (2 papers) and Blockchain Technology Applications and Security (2 papers). S. Sheeba Rani collaborates with scholars based in India. S. Sheeba Rani's co-authors include K. Shankar, Deepak Gupta, S. K. Lakshmanaprabu, K. C. Ramya, Dinesh Gupta, Arun Sharma, Ashish Khanna, Sachi Nandan Mohanty, Nivetha Martin and S. Rajakumar and has published in prestigious journals such as Future Generation Computer Systems, Soft Computing and Indian Journal of Science and Technology.

In The Last Decade

S. Sheeba Rani

10 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Sheeba Rani India 5 136 131 102 79 38 12 292
Yifei Lu China 11 73 0.5× 242 1.8× 108 1.1× 87 1.1× 40 1.1× 39 396
Maryam Shabbir Pakistan 6 84 0.6× 99 0.8× 81 0.8× 14 0.2× 36 0.9× 15 221
Salma Elhag Saudi Arabia 5 27 0.2× 164 1.3× 194 1.9× 65 0.8× 19 0.5× 21 291
Pooja Yadav India 7 66 0.5× 106 0.8× 67 0.7× 54 0.7× 60 1.6× 14 274
Mohamed Taha Egypt 7 111 0.8× 43 0.3× 99 1.0× 31 0.4× 32 0.8× 39 263
Ehab R. Mohamed Egypt 11 71 0.5× 145 1.1× 101 1.0× 17 0.2× 91 2.4× 27 329
Zuhaira Muhammad Zain Saudi Arabia 6 64 0.5× 36 0.3× 191 1.9× 68 0.9× 38 1.0× 18 303
Wu Zhang China 8 148 1.1× 129 1.0× 50 0.5× 20 0.3× 23 0.6× 21 275
Putra Wanda Indonesia 9 124 0.9× 116 0.9× 120 1.2× 16 0.2× 47 1.2× 25 271
Firas Husham Almukhtar Iraq 9 52 0.4× 24 0.2× 67 0.7× 37 0.5× 79 2.1× 27 248

Countries citing papers authored by S. Sheeba Rani

Since Specialization
Citations

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

Fields of papers citing papers by S. Sheeba Rani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sheeba Rani. 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 S. Sheeba Rani. The network helps show where S. Sheeba Rani may publish in the future.

Co-authorship network of co-authors of S. Sheeba Rani

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

All Works

12 of 12 papers shown
2.
Martin, Nivetha, et al.. (2023). Decision Making on Optimal Selection of Advertising Agencies using Machine Learning. 121–125. 4 indexed citations
3.
Rani, S. Sheeba, et al.. (2021). IoT enabled Framework for Wearable Medical Sensor Data. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 226–230. 1 indexed citations
4.
Azath, H., et al.. (2021). BoT-IoT based Denial of Service Detection with Deep Learning. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 221–225. 7 indexed citations
5.
Rajakumar, S., et al.. (2021). IoT Secure Framework for Wearable Sensor Data for E-health System. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 211–215. 3 indexed citations
6.
Rani, S. Sheeba, et al.. (2020). Factor analysis for academic dishonesty tendency scale: Validation for Indian context. 21(1). 32–32. 3 indexed citations
7.
Sharma, Arun, S. Sheeba Rani, & Dinesh Gupta. (2020). Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases. International Journal of Biomedical Imaging. 2020. 1–10. 81 indexed citations
8.
Gupta, Deepak, et al.. (2019). Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction. Soft Computing. 24(1). 101–110. 36 indexed citations
9.
Mohanty, Sachi Nandan, K. C. Ramya, S. Sheeba Rani, et al.. (2019). An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy. Future Generation Computer Systems. 102. 1027–1037. 152 indexed citations
10.
Balakrishnan, Suresh, Jon Paul Janet, K. Sujatha, & S. Sheeba Rani. (2018). An efficient and complete automatic system for detecting of lung module. Indian Journal of Science and Technology. 11(26). 1–5. 3 indexed citations
11.
Sujatha, K., et al.. (2018). Biometric authentication system with hand vein features using morphological processing. Indian Journal of Science and Technology. 11(26). 1–6. 2 indexed citations
12.
Ramya, K. C., et al.. (2018). Design and Analysis of Fractional PID Controller for Isolated Bidirectional DC-DC Converter. International Journal of Engineering & Technology. 7(4.19). 182–185.

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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