Debabrata Dansana

486 total citations
16 papers, 127 citations indexed

About

Debabrata Dansana is a scholar working on Computer Networks and Communications, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Debabrata Dansana has authored 16 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Debabrata Dansana's work include COVID-19 diagnosis using AI (5 papers), IoT and Edge/Fog Computing (4 papers) and COVID-19 epidemiological studies (3 papers). Debabrata Dansana is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), IoT and Edge/Fog Computing (4 papers) and COVID-19 epidemiological studies (3 papers). Debabrata Dansana collaborates with scholars based in India, Saudi Arabia and Nigeria. Debabrata Dansana's co-authors include Raghvendra Kumar, S. Gopal Krishna Patro, Rohit Sharma, Hamza Mohammed Ridha Al‐Khafaji, Renato R. Maaliw, Ghayth AlMahadin, Esraa Saleh Alomari, Ishaani Priyadarshini, Mohammad Shabaz and Dac‐Nhuong Le and has published in prestigious journals such as Scientific Reports, IEEE Access and Frontiers in Public Health.

In The Last Decade

Debabrata Dansana

15 papers receiving 113 citations

Peers

Debabrata Dansana

CNC

EEE

Suneeta Satpathy India

V. Mohanraj India

Binggui Zhou China

Yize Zhou China

Noor Abu-el-rub United States

Viktoriia Shubina Finland

H. Lu China

Puja Das India

Mohit Kumar India

Md Musfique Anwar Bangladesh

Suneeta Satpathy India

Debabrata Dansana

36 ×0.8

CNC

36 ×0.9

17 ×0.7

36 ×1.6

EEE

21 ×1.3

Citations per year, relative to Debabrata Dansana Debabrata Dansana (= 1×) peers Suneeta Satpathy

Countries citing papers authored by Debabrata Dansana

Since Specialization

Citations

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

Fields of papers citing papers by Debabrata Dansana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debabrata Dansana

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

All Works

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16 of 16 papers shown

Prasad, Vivek Kumar, et al.. (2025). IoT-based bed and ventilator management system during the COVID-19 pandemic. Scientific Reports. 15(1). 19163–19163. 1 indexed citations

Tripathy, Sujit Kumar, et al.. (2025). IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN. Scientific Reports. 15(1). 17306–17306.

Patro, S. Gopal Krishna, et al.. (2025). Estimation of COVID-19 secondary effects on cardiac anomalies using deep transfer learning approach. Sadhana. 50(2). 1 indexed citations

Prasad, Vivek Kumar, et al.. (2024). Utilizing convolutional neural networks for resource allocation bottleneck analysis in cloud ecosystems. Cluster Computing. 28(1). 1 indexed citations

Dansana, Debabrata, et al.. (2024). BSMACRN: Design of an Efficient Blockchain-Based Security Model for Improving Attack-Resilience of Cognitive Radio Ad-hoc Networks. IEEE Access. 12. 10047–10058. 9 indexed citations

AlMahadin, Ghayth, Mohammad Shabaz, Esraa Saleh Alomari, et al.. (2023). VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model. IEEE Transactions on Consumer Electronics. 70(1). 4548–4555. 34 indexed citations

Dansana, Debabrata, et al.. (2023). Analyzing the impact of loan features on bank loan prediction using R andom F orest algorithm. Engineering Reports. 6(2). 10 indexed citations

Prasad, Vivek Kumar, Debabrata Dansana, Madhuri Bhavsar, et al.. (2023). Efficient Resource Utilization in IoT and Cloud Computing. Information. 14(11). 619–619. 9 indexed citations

Prasad, Vivek Kumar, et al.. (2023). CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution. Journal of Cloud Computing Advances Systems and Applications. 12(1). 4 indexed citations

10.

Dansana, Debabrata, et al.. (2023). BDDTPA: Blockchain-Driven Deep Traffic Pattern Analysis for Enhanced Security in Cognitive Radio Ad-Hoc Networks. IEEE Access. 11. 98202–98216. 10 indexed citations

11.

Dansana, Debabrata, et al.. (2022). COVID-19 Outbreak Prediction and Analysis of E-Healthcare Data Using Random Forest Algorithms. 11(1). 1–13. 3 indexed citations

12.

Prasad, Vivek Kumar, Debabrata Dansana, Brojo Kishore Mishra, & Madhuri Bhavsar. (2022). Intensify Cloud Security and Privacy Against Phishing Attacks. ECS Transactions. 107(1). 1387–1398. 1 indexed citations

13.

Dansana, Debabrata, et al.. (2022). The Future of Smart Communication: IoT and Augmented Reality: A Review. Apple Academic Press eBooks. 29–38. 1 indexed citations

14.

Dansana, Debabrata, et al.. (2021). Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 1595–1612. 7 indexed citations

15.

Dansana, Debabrata, et al.. (2020). An approach to analyse and Forecast Social media data using Machine Learning and Data Analysis. 1–5. 6 indexed citations

16.

Dansana, Debabrata, et al.. (2020). Global Forecasting Confirmed and Fatal Cases of COVID-19 Outbreak Using Autoregressive Integrated Moving Average Model. Frontiers in Public Health. 8. 30 indexed citations

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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