Md Sawkat Ali

1.0k total citations
47 papers, 508 citations indexed

About

Md Sawkat Ali is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Md Sawkat Ali has authored 47 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Md Sawkat Ali's work include Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (6 papers) and Identification and Quantification in Food (4 papers). Md Sawkat Ali is often cited by papers focused on Smart Agriculture and AI (16 papers), Spectroscopy and Chemometric Analyses (6 papers) and Identification and Quantification in Food (4 papers). Md Sawkat Ali collaborates with scholars based in Bangladesh, Australia and United States. Md Sawkat Ali's co-authors include Omar Farrok, M. Mejbaul Haque, Taskeed Jabid, M. Mofijur, Abrar Inayat, Irfan Anjum Badruddin, Shams Forruque Ahmed, T. M. Yunus Khan, Nazifa Rafa and Peter Wolfs and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Md Sawkat Ali

35 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md Sawkat Ali Bangladesh 9 121 120 109 85 70 47 508
Md Momtazur Rahman Australia 14 189 1.6× 206 1.7× 70 0.6× 29 0.3× 22 0.3× 22 613
Abdelmajid Jamil Morocco 11 158 1.3× 112 0.9× 187 1.7× 111 1.3× 15 0.2× 21 577
D Kodirov Uzbekistan 13 72 0.6× 97 0.8× 49 0.4× 33 0.4× 25 0.4× 55 452
Kevin N. Nwaigwe Botswana 10 204 1.7× 145 1.2× 16 0.1× 46 0.5× 140 2.0× 30 507
G. Russo Italy 14 70 0.6× 189 1.6× 45 0.4× 61 0.7× 11 0.2× 50 441
Seyed Sina Hosseini Iran 15 203 1.7× 106 0.9× 15 0.1× 111 1.3× 194 2.8× 17 667
Juan D. Gil Spain 12 332 2.7× 96 0.8× 43 0.4× 19 0.2× 149 2.1× 59 574
Anders Avelin Sweden 10 74 0.6× 147 1.2× 15 0.1× 37 0.4× 58 0.8× 40 358
Lamia A. Shihata Egypt 9 251 2.1× 143 1.2× 23 0.2× 26 0.3× 28 0.4× 18 576
Nima Khalilpoor Iran 14 123 1.0× 102 0.8× 9 0.1× 58 0.7× 76 1.1× 34 453

Countries citing papers authored by Md Sawkat Ali

Since Specialization
Citations

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

Fields of papers citing papers by Md Sawkat Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Sawkat Ali. 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 Md Sawkat Ali. The network helps show where Md Sawkat Ali may publish in the future.

Co-authorship network of co-authors of Md Sawkat Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Md Sawkat Ali. A scholar is included among the top collaborators of Md Sawkat Ali 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 Md Sawkat Ali. Md Sawkat Ali 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.
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Rashid, Mohammad Rifat Ahmmad, et al.. (2025). Drone-based dataset of annotated sunflower images from Bangladesh. Data in Brief. 59. 111417–111417.
3.
Rahman, Mohammed Atiqur, Israt Jahan, Maheen Islam, et al.. (2025). Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches. IEEE Access. 13. 20989–21004. 2 indexed citations
4.
Islam, Mohammad Manzurul, Abdullahi Chowdhury, Rifat Ara Shams, et al.. (2025). A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process. Ecological Informatics. 91. 103365–103365.
5.
Islam, Mohammad Manzurul, et al.. (2025). PaddyVarietyBD: Classifying paddy variations of Bangladesh with a novel image dataset. Data in Brief. 60. 111514–111514. 1 indexed citations
6.
Islam, Mohammad Manzurul, A. Choudhury, Niyaz Ahmed, et al.. (2025). ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh. Data in Brief. 60. 111553–111553.
7.
Rashid, Mohammad Rifat Ahmmad, Mahamudul Hasan, Md Sawkat Ali, et al.. (2025). An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection. Array. 26. 100386–100386. 4 indexed citations
8.
Farrok, Omar, Mahamudul Hasan, Khalid Hasan, et al.. (2025). Revival of Muslin by Phuti Karpas plant identification with convolution neural network. Array. 27. 100428–100428.
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10.
Ahmed, Md. Rayhan, et al.. (2024). CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling. Data in Brief. 55. 110712–110712. 2 indexed citations
11.
Islam, Mohammad Manzurul, et al.. (2024). REMP: A unique dataset of rare and endangered medicinal plants in Bangladesh for sustainable healing and biodiversity conservation. Data in Brief. 57. 110895–110895. 1 indexed citations
12.
Ali, Md Sawkat, et al.. (2024). A comprehensive dataset of rice field weed detection from Bangladesh. Data in Brief. 57. 110981–110981. 2 indexed citations
13.
14.
Khandaker, Mayeen Uddin, et al.. (2024). An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh. Data in Brief. 57. 111109–111109. 3 indexed citations
15.
Islam, Mohammad Manzurul, et al.. (2024). BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves. Data in Brief. 58. 111241–111241. 2 indexed citations
16.
Rashid, Mohammad Rifat Ahmmad, Mahamudul Hasan, Md. Ariful Islam, et al.. (2024). Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 10(21). e40091–e40091. 5 indexed citations
17.
Kabir, Md Ahsan, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, et al.. (2023). LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases. Journal of Agriculture and Food Research. 14. 100787–100787. 24 indexed citations
18.
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Rahman, Habibur, Md. Samiul Islam, Mahamudul Hasan, et al.. (2023). An Analysis of Bangla Tweets on Social Media Platform for Polarity Detection Using Machine Learning Algorithms. 2. 1–6. 1 indexed citations
20.
Akram, Wasim, et al.. (2021). PSO-ANN in preventing traffic collisions: a comparative study. Zenodo (CERN European Organization for Nuclear Research). 7 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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