Dolly Das

553 total citations
14 papers, 306 citations indexed

About

Dolly Das is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dolly Das has authored 14 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Ophthalmology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dolly Das's work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dolly Das is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dolly Das collaborates with scholars based in India and France. Dolly Das's co-authors include Saroj Kr. Biswas, Sivaji Bandyopadhyay, Biswajit Purkayastha, Ankit Kesharwani, Alexandre E. Escargueil, Manomita Chakraborty, Rabul Hussain Laskar and Anita Das and has published in prestigious journals such as Multimedia Tools and Applications, International Journal of Imaging Systems and Technology and Journal of Indian Business Research.

In The Last Decade

Dolly Das

14 papers receiving 283 citations

Peers

Dolly Das
Hanan S. Alghamdi Saudi Arabia
Anita Desiani Indonesia
Yufis Azhar Indonesia
Abdulaziz Aljaloud Saudi Arabia
Samia Akhtar Pakistan
Deepika Gopukumar United States
Hanan S. Alghamdi Saudi Arabia
Dolly Das
Citations per year, relative to Dolly Das Dolly Das (= 1×) peers Hanan S. Alghamdi

Countries citing papers authored by Dolly Das

Since Specialization
Citations

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

Fields of papers citing papers by Dolly Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolly Das

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

All Works

14 of 14 papers shown
1.
Biswas, Saroj Kr., et al.. (2023). Recent trend in medical imaging modalities and their applications in disease diagnosis: a review. Multimedia Tools and Applications. 83(14). 43035–43070. 62 indexed citations
2.
Das, Dolly, Saroj Kr. Biswas, & Sivaji Bandyopadhyay. (2023). Mixed attention and regularized COVID‐19 network: An approach to detection of COVID‐19 with chest x‐ray images. International Journal of Imaging Systems and Technology. 33(4). 1194–1222. 1 indexed citations
3.
Das, Dolly, Saroj Kr. Biswas, & Sivaji Bandyopadhyay. (2022). Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC). Multimedia Tools and Applications. 82(19). 29943–30001. 70 indexed citations
4.
Das, Dolly, Saroj Kr. Biswas, & Sivaji Bandyopadhyay. (2022). Perspective of AI system for COVID-19 detection using chest images: a review. Multimedia Tools and Applications. 81(15). 21471–21501. 15 indexed citations
5.
Biswas, Saroj Kr., et al.. (2022). Boston House Price Prediction Using Regression Models. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–6. 17 indexed citations
6.
Das, Dolly, Saroj Kr. Biswas, & Sivaji Bandyopadhyay. (2022). A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning. Multimedia Tools and Applications. 81(18). 25613–25655. 74 indexed citations
7.
Das, Dolly, et al.. (2022). Heart Disease Prediction Using Classification Models. 2022 3rd International Conference for Emerging Technology (INCET). 9. 1–6. 4 indexed citations
8.
Purkayastha, Biswajit, et al.. (2022). Health Insurance Cost Prediction Using Regression Models. 168–173. 13 indexed citations
9.
Das, Dolly, et al.. (2021). Deep Diabetic Retinopathy Detection System (DDRDS) using Convolutional Neural Network: A Comparative Study. 2021 International Conference on Intelligent Technologies (CONIT). 93. 1–5. 2 indexed citations
11.
Das, Dolly, Saroj Kr. Biswas, Sivaji Bandyopadhyay, & Rabul Hussain Laskar. (2020). Deep Learning Techniques for Early Detection of Diabetic Retinopathy: Recent Developments and Techniques. 22. 1–7. 1 indexed citations
12.
Kesharwani, Ankit, et al.. (2016). The relationship between risk aversion, brand trust, brand affect and loyalty. Journal of Indian Business Research. 8(2). 78–97. 39 indexed citations
13.
Das, Dolly, et al.. (2016). General Survey on Security Issues on Internet of Things. International Journal of Computer Applications. 139(2). 23–29. 4 indexed citations
14.
Das, Dolly, et al.. (2014). A Differential Evolutionary Approach to Solve the Hardware Software Partitioning Problem. 3(7). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026