Rajeshwar Dass

630 total citations
28 papers, 394 citations indexed

About

Rajeshwar Dass is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajeshwar Dass has authored 28 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajeshwar Dass's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Image Fusion Techniques (5 papers). Rajeshwar Dass is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Image Fusion Techniques (5 papers). Rajeshwar Dass collaborates with scholars based in India, United Arab Emirates and United Kingdom. Rajeshwar Dass's co-authors include Jitendra Virmani, Manoj Duhan, Vijay Nehra, Sarika Sarika, Suman Chakravorty and Mahima Mishra and has published in prestigious journals such as Expert Systems with Applications, Multimedia Tools and Applications and Medical & Biological Engineering & Computing.

In The Last Decade

Rajeshwar Dass

23 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajeshwar Dass India 9 164 136 131 79 56 28 394
Haseeb Hassan China 13 151 0.9× 166 1.2× 93 0.7× 32 0.4× 58 1.0× 45 514
Weixiang Liu China 10 128 0.8× 72 0.5× 116 0.9× 25 0.3× 32 0.6× 49 386
Qianqian Du China 8 91 0.6× 97 0.7× 124 0.9× 33 0.4× 13 0.2× 12 296
Hongbo Du United Kingdom 12 90 0.5× 143 1.1× 151 1.2× 21 0.3× 46 0.8× 57 435
Jia Gu China 10 165 1.0× 114 0.8× 64 0.5× 39 0.5× 51 0.9× 35 332
Michalis A. Savelonas Greece 17 333 2.0× 240 1.8× 278 2.1× 49 0.6× 41 0.7× 59 694
Rafid Mostafiz Bangladesh 12 90 0.5× 112 0.8× 150 1.1× 19 0.2× 13 0.2× 29 315
Di Yang China 12 103 0.6× 92 0.7× 109 0.8× 29 0.4× 128 2.3× 53 438
Xuebo Liu China 7 80 0.5× 91 0.7× 88 0.7× 20 0.3× 21 0.4× 16 354
Abin Jose Germany 7 113 0.7× 93 0.7× 83 0.6× 18 0.2× 35 0.6× 22 278

Countries citing papers authored by Rajeshwar Dass

Since Specialization
Citations

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

Fields of papers citing papers by Rajeshwar Dass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeshwar Dass

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeshwar Dass. A scholar is included among the top collaborators of Rajeshwar Dass 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 Rajeshwar Dass. Rajeshwar Dass 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.
Dass, Rajeshwar, et al.. (2025). Viability assessment of solar photovoltaic systems for dairy cattle farms in India. Next research.. 2(4). 101043–101043.
2.
Sarika, Sarika & Rajeshwar Dass. (2025). Design of a Novel Network Intrusion Detection Technique for SDN-based IoT Network Using Machine Learning. Optoelectronics Instrumentation and Data Processing. 61(3). 396–407. 1 indexed citations
3.
Dass, Rajeshwar, et al.. (2024). Effective hybridization approach for noise removal in magnetic resonance imaging. Multimedia Tools and Applications. 83(34). 81759–81783.
4.
Dass, Rajeshwar, et al.. (2024). Machine learning-based CAD system for thyroid tumour characterisation using ultrasound images. International Journal of Medical Engineering and Informatics. 16(6). 547–559.
5.
Dass, Rajeshwar, et al.. (2024). A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images. Journal of Ultrasound. 27(2). 209–224. 13 indexed citations
6.
Dass, Rajeshwar, et al.. (2024). Powering sustainability: A techno-economic analysis of photovoltaic systems in dairy farming. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 14033–14054.
7.
Mishra, Mahima, et al.. (2023). A Consumer Perception Study on CSR Reputation Shaping Brand Image in India. International Journal of Management and Enterprise Development. 22(1). 1–1. 1 indexed citations
8.
Dass, Rajeshwar, et al.. (2023). Assessment of encoder-decoder-based segmentation models for thyroid ultrasound images. Medical & Biological Engineering & Computing. 61(8). 2159–2195. 7 indexed citations
9.
Dass, Rajeshwar, et al.. (2023). A consumer perception study on CSR reputation shaping brand image in India. International Journal of Management and Enterprise Development. 22(2). 91–91.
10.
Dass, Rajeshwar, et al.. (2022). Objective assessment of segmentation models for thyroid ultrasound images. Journal of Ultrasound. 26(3). 673–685. 24 indexed citations
11.
Virmani, Jitendra, et al.. (2022). Machine learning-based CAD system for thyroid tumour characterisation using ultrasound images. International Journal of Medical Engineering and Informatics. 1(1). 1–1. 3 indexed citations
12.
Dass, Rajeshwar, et al.. (2022). Despeckling filters applied to thyroid ultrasound images: a comparative analysis. Multimedia Tools and Applications. 81(6). 8905–8937. 22 indexed citations
13.
Dass, Rajeshwar, et al.. (2021). An automatic and efficient technique for tumor location identification and classification through breast MR images. Expert Systems with Applications. 185. 115580–115580. 7 indexed citations
14.
Dass, Rajeshwar, et al.. (2020). Intelligent Car with Voice Assistance and Obstacle Detector to Aid the Disabled. Procedia Computer Science. 167. 1732–1738. 6 indexed citations
15.
Dass, Rajeshwar, et al.. (2019). ROI Selection Criteria for Finding the Abnormal Tissues from Breast Magnetic Resonance Imaging. International Journal of Engineering and Advanced Technology. 9(2). 2744–2749. 1 indexed citations
16.
Dass, Rajeshwar, et al.. (2019). Escalate the efficacy of breast tumor detection through magnetic resonance imaging: a framework. International Journal of Information Technology. 12(3). 879–887. 4 indexed citations
17.
Dass, Rajeshwar, et al.. (2019). Breast Cancer Detection Techniques: Issues and Challenges. Journal of The Institution of Engineers (India) Series B. 100(4). 379–386. 74 indexed citations
18.
Dass, Rajeshwar. (2018). Speckle Noise Reduction of Ultrasound Images Using BFO Cascaded with Wiener Filter and Discrete Wavelet Transform in Homomorphic Region. Procedia Computer Science. 132. 1543–1551. 41 indexed citations
19.
Dass, Rajeshwar, et al.. (2012). Vehicular Ad Hoc Networks. 1 indexed citations
20.
Dass, Rajeshwar, et al.. (2012). Image Segmentation Techniques. 99 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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