Dilshad Islam

485 total citations
18 papers, 292 citations indexed

About

Dilshad Islam is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Media Technology. According to data from OpenAlex, Dilshad Islam has authored 18 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Safety, Risk, Reliability and Quality and 2 papers in Media Technology. Recurrent topics in Dilshad Islam's work include Vehicle License Plate Recognition (2 papers), Fire Detection and Safety Systems (2 papers) and Advanced Neural Network Applications (2 papers). Dilshad Islam is often cited by papers focused on Vehicle License Plate Recognition (2 papers), Fire Detection and Safety Systems (2 papers) and Advanced Neural Network Applications (2 papers). Dilshad Islam collaborates with scholars based in Bangladesh, Sweden and Malaysia. Dilshad Islam's co-authors include Tanjim Mahmud, Md. Motiur Rahman, Anik Barua, Karl Andersson, Koushick Barua, Mohammad Shahadat Hossain, Mohammad Tarek Aziz, Nanziba Basnin, Nahed Sharmen and Sazzad Hossain and has published in prestigious journals such as Computational Intelligence and Neuroscience, Bioengineering and Computational Biology and Chemistry.

In The Last Decade

Dilshad Islam

14 papers receiving 283 citations

Peers

Dilshad Islam

HIM

CVPR

Surendran Rajendran India

Mudita Uppal India

Farnaz Farid Australia

K. Arumugam India

Vinoth Kumar Venkatesan India

Thulasi Bikku India

Vasaki Ponnusamy Malaysia

T. Poongodi India

A.K.M. Muzahidul Islam Bangladesh

Stephen Jeswinde Nuagah Ghana

Surendran Rajendran India

Dilshad Islam

71 ×0.6

27 ×0.4

HIM

33 ×0.8

CVPR

72 ×2.1

22 ×0.7

Citations per year, relative to Dilshad Islam Dilshad Islam (= 1×) peers Surendran Rajendran

Countries citing papers authored by Dilshad Islam

Since Specialization

Citations

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

Fields of papers citing papers by Dilshad Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilshad Islam

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

All Works

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18 of 18 papers shown

Mahmud, Tanjim, et al.. (2025). Digital Twin-Enabled Intelligent IoT Healthcare Systems. 1–5. 1 indexed citations

Majumder, Avishek, et al.. (2025). Harnessing BERT for Advanced Email Filtering in Cybersecurity. 66–71.

Mahmud, Tanjim, et al.. (2025). Convolutional neural network-based real-time drowsy driver detection for accident prevention. TELKOMNIKA (Telecommunication Computing Electronics and Control). 23(3). 682–682.

Islam, Dilshad, et al.. (2024). Comparative nutrachemical analysis and antimicrobial activity of commonly eaten Ficus fruits in Bangladesh. Food Research. 8(6). 342–353. 1 indexed citations

Akter, Tahmina, et al.. (2024). Evaluating Machine Learning Methods for Bangla Text Emotion Analysis. 1–6. 16 indexed citations

Mahmud, Tanjim, et al.. (2024). Enhanced Traffic Sign Recognition Using Deep Learning Techniques. 1–6. 4 indexed citations

Mahmud, Tanjim, et al.. (2023). Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match. Computational Intelligence and Neuroscience. 2023(1). 2398121–2398121. 49 indexed citations

Barua, Koushick, Tanjim Mahmud, Anik Barua, et al.. (2023). Explainable AI-Based Humerus Fracture Detection and Classification from X-Ray Images. 1–6. 32 indexed citations

Mahmud, Tanjim, Anik Barua, Dilshad Islam, et al.. (2023). Ensemble Deep Learning Approach for ECG-Based Cardiac Disease Detection: Signal and Image Analysis. 70–74. 37 indexed citations

10.

Mahmud, Tanjim, et al.. (2023). Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots. 264–268. 17 indexed citations

11.

Islam, Dilshad, et al.. (2022). An efficient automated vehicle license plate recognition system under image processing. Indonesian Journal of Electrical Engineering and Computer Science. 29(2). 1055–1055. 32 indexed citations

12.

Hossain, Md. Altaf, et al.. (2022). Rising Trends of Cesarean Section in Bangladesh: Associated Factors and Long-Term Complications on Health of Mother and Children. Journal of Maternal and Child Health. 7(5). 532–542.

13.

Mahmud, Tanjim, et al.. (2022). A Decision Concept to Support House Hunting. International Journal of Advanced Computer Science and Applications. 13(10). 17 indexed citations

14.

Hossain, Md. Altaf, et al.. (2022). Nutraceutical Prospects and Antioxidant Activity of White and Red Water Lily Stem Available in Bangladesh. Current Research in Nutrition and Food Science Journal. 10(3). 1196–1204. 2 indexed citations

15.

Islam, Dilshad, et al.. (2022). Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method. Bioengineering. 9(11). 715–715. 3 indexed citations

16.

Rahman, Md. Motiur, et al.. (2020). A deep learning approach based on convolutional LSTM for detecting diabetes. Computational Biology and Chemistry. 88. 107329–107329. 78 indexed citations

17.

Islam, Dilshad, et al.. (2016). Crowd Detection in Still Images Using Combined HOG and SIFT Feature. Indonesian Journal of Electrical Engineering and Computer Science. 4(2). 447–447. 2 indexed citations

18.

Islam, Dilshad, et al.. (2016). Fire Detection in Still Image Using Color Model. Indonesian Journal of Electrical Engineering and Computer Science. 3(3). 618–618. 1 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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