Tahmid Hasan Pranto

476 total citations
10 papers, 264 citations indexed

About

Tahmid Hasan Pranto is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tahmid Hasan Pranto has authored 10 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tahmid Hasan Pranto's work include Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Tahmid Hasan Pranto is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Tahmid Hasan Pranto collaborates with scholars based in Bangladesh, Finland and United States. Tahmid Hasan Pranto's co-authors include Abdulla All Noman, AKM Bahalul Haque, Rashedur M. Rahman, A.K.M. Najmul Islam, Md. Abdul Wahab and Md A. Wahab and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Artificial Intelligence.

In The Last Decade

Tahmid Hasan Pranto

10 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tahmid Hasan Pranto Bangladesh 7 130 69 37 36 33 10 264
Huilin Chen China 8 139 1.1× 98 1.4× 37 1.0× 24 0.7× 39 1.2× 19 282
Gavina Baralla Italy 8 299 2.3× 33 0.5× 53 1.4× 71 2.0× 109 3.3× 17 417
Akash Sinha India 5 45 0.3× 31 0.4× 34 0.9× 58 1.6× 16 0.5× 11 264
Ditdit Nugeraha Utama Indonesia 9 111 0.9× 52 0.8× 28 0.8× 17 0.5× 5 0.2× 97 286
Samuel Sepúlveda Chile 8 82 0.6× 83 1.2× 16 0.4× 36 1.0× 14 0.4× 35 294
Daniel Tse Hong Kong 6 214 1.6× 78 1.1× 46 1.2× 59 1.6× 75 2.3× 23 321
Estrela Ferreira Cruz Portugal 12 149 1.1× 29 0.4× 81 2.2× 16 0.4× 83 2.5× 39 313
Yuming Deng China 8 224 1.7× 126 1.8× 22 0.6× 59 1.6× 14 0.4× 17 336
B. N. Nithya India 3 261 2.0× 49 0.7× 43 1.2× 89 2.5× 9 0.3× 4 305

Countries citing papers authored by Tahmid Hasan Pranto

Since Specialization
Citations

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

Fields of papers citing papers by Tahmid Hasan Pranto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tahmid Hasan Pranto. 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 Tahmid Hasan Pranto. The network helps show where Tahmid Hasan Pranto may publish in the future.

Co-authorship network of co-authors of Tahmid Hasan Pranto

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

All Works

10 of 10 papers shown
1.
Pranto, Tahmid Hasan, et al.. (2024). Utilizing deep learning in chipless RFID tag detection: an investigation on high-precision mm-wave spatial tag estimation from 2D virtual imaging. Journal of Information and Telecommunication. 8(3). 361–383. 2 indexed citations
2.
Wahab, Md. Abdul, et al.. (2023). A remote and cost‐optimized voting system using blockchain and smart contract. SHILAP Revista de lepidopterología. 3(1). 1–17. 12 indexed citations
3.
Pranto, Tahmid Hasan, et al.. (2023). Toward News Authenticity: Synthesizing Natural Language Processing and Human Expert Opinion to Evaluate News. IEEE Access. 11. 11405–11421. 8 indexed citations
4.
Noman, Abdulla All, et al.. (2023). Blockchain for medical collaboration: A federated learning-based approach for multi-class respiratory disease classification. SHILAP Revista de lepidopterología. 3. 100135–100135. 25 indexed citations
5.
Pranto, Tahmid Hasan, et al.. (2022). A customer satisfaction centric food delivery system based on blockchain and smart contract. Journal of Information and Telecommunication. 6(4). 501–524. 11 indexed citations
6.
Pranto, Tahmid Hasan, et al.. (2022). Effect of Label Noise on Multi-Class Semantic Segmentation: A Case Study on Bangladesh Marine Region. Applied Artificial Intelligence. 36(1). 5 indexed citations
7.
Pranto, Tahmid Hasan, et al.. (2022). Blockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach. IEEE Access. 10. 87115–87134. 26 indexed citations
8.
Noman, Abdulla All, et al.. (2022). Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review. arXiv (Cornell University). 6(2). 13–40. 53 indexed citations
9.
Pranto, Tahmid Hasan, et al.. (2021). Blockchain and smart contract for IoT enabled smart agriculture. PeerJ Computer Science. 7. e407–e407. 117 indexed citations
10.
Pranto, Tahmid Hasan, et al.. (2021). A Blockchain, Smart Contract and Data Mining Based Approach toward the Betterment of E-Commerce. Cybernetics & Systems. 53(5). 443–467. 5 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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