Sonali Dash

748 total citations
37 papers, 446 citations indexed

About

Sonali Dash is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sonali Dash has authored 37 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sonali Dash's work include Image Retrieval and Classification Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Medical Image Segmentation Techniques (8 papers). Sonali Dash is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Medical Image Segmentation Techniques (8 papers). Sonali Dash collaborates with scholars based in India, South Korea and Saudi Arabia. Sonali Dash's co-authors include Manas Ranjan Senapati, Sahil Verma, Priyadarsan Parida, Kavita Kavita, Muhammad Fazal Ijaz, Jana Shafi, Marcin Woźniak, Savitri Bevinakoppa, A. K. Mohanty and Pramod K. Dash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Image and Vision Computing and Neural Computing and Applications.

In The Last Decade

Sonali Dash

36 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonali Dash India 15 206 139 106 82 68 37 446
K. Balasamy India 9 265 1.3× 177 1.3× 162 1.5× 97 1.2× 24 0.4× 19 610
S. Suganyadevi India 9 204 1.0× 176 1.3× 173 1.6× 90 1.1× 20 0.3× 25 585
Shankar Thawkar India 14 142 0.7× 218 1.6× 228 2.2× 53 0.6× 78 1.1× 23 511
Muyi Sun China 13 229 1.1× 188 1.4× 107 1.0× 32 0.4× 76 1.1× 38 556
Awais Mehmood Pakistan 9 225 1.1× 158 1.1× 195 1.8× 161 2.0× 40 0.6× 23 549
Tiejun Yang China 11 223 1.1× 111 0.8× 135 1.3× 108 1.3× 21 0.3× 47 432
Parthasarathi Mangipudi India 11 249 1.2× 292 2.1× 62 0.6× 71 0.9× 235 3.5× 27 521
V. Seethalakshmi India 8 118 0.6× 142 1.0× 165 1.6× 61 0.7× 12 0.2× 22 472
L. Jani Anbarasi India 13 208 1.0× 161 1.2× 165 1.6× 32 0.4× 27 0.4× 87 493
Samar M. Alqhtani Saudi Arabia 14 134 0.7× 97 0.7× 178 1.7× 151 1.8× 14 0.2× 45 517

Countries citing papers authored by Sonali Dash

Since Specialization
Citations

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

Fields of papers citing papers by Sonali Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonali Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Sonali Dash. A scholar is included among the top collaborators of Sonali Dash 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 Sonali Dash. Sonali Dash 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.
Dash, Sonali, et al.. (2024). Vehicle detection in varied weather conditions using enhanced deep YOLO with complex wavelet. Engineering Research Express. 6(2). 25224–25224. 2 indexed citations
2.
Parida, Priyadarsan, et al.. (2023). An improved DNN with FFCM method for multimodal brain tumor segmentation. Intelligent Systems with Applications. 18. 200245–200245. 17 indexed citations
3.
Parida, Priyadarsan, et al.. (2023). A multi-view human gait recognition using hybrid whale and gray wolf optimization algorithm with a random forest classifier. Image and Vision Computing. 136. 104721–104721. 14 indexed citations
4.
Dash, Sonali, Sahil Verma, Kavita Kavita, et al.. (2022). Analysis of Vessel Segmentation Based on Various Enhancement Techniques for Improvement of Vessel Intensity Profile. Computational Intelligence and Neuroscience. 2022. 1–20. 2 indexed citations
5.
Dash, Sonali, et al.. (2022). Edge preserving noise robust deep learning networks for vehicle classification. Concurrency and Computation Practice and Experience. 5 indexed citations
6.
Dash, Sonali, Sahil Verma, Kavita Kavita, et al.. (2022). Guidance Image-Based Enhanced Matched Filter with Modified Thresholding for Blood Vessel Extraction. Symmetry. 14(2). 194–194. 61 indexed citations
7.
Kavita, Kavita, et al.. (2022). Sorting Algorithm visualizer. 1–5. 3 indexed citations
8.
Dash, Sonali, et al.. (2021). Improvement on Deep Features through Various Enhancement Techniques for Vehicles Classification. Sensing and Imaging. 22(1). 3 indexed citations
9.
Dash, Sonali, Sahil Verma, Kavita Kavita, et al.. (2021). A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation. Diagnostics. 11(11). 2017–2017. 40 indexed citations
10.
Dash, Sonali, et al.. (2021). Vehicle Recognition using extensions of Pattern Descriptors. IOP Conference Series Materials Science and Engineering. 1166(1). 12046–12046. 3 indexed citations
11.
Dash, Sonali, et al.. (2020). Internet of Things Enabled Smart Microgrid. International Journal of Engineering and Advanced Technology. 9(6). 73–76. 3 indexed citations
12.
Dash, Sonali & Manas Ranjan Senapati. (2019). Enhancing detection of retinal blood vessels by combined approach of DWT, Tyler Coye and Gamma correction. Biomedical Signal Processing and Control. 57. 101740–101740. 25 indexed citations
13.
Dash, Sonali, et al.. (2019). Time‐frequency analysis of power quality disturbances using synchroextracting transform. International Transactions on Electrical Energy Systems. 30(4). 11 indexed citations
14.
Dash, Sonali, et al.. (2019). Retinal Blood Vessel Segmentation by Employing Various Upgraded Median Filters. 3. 35–354. 3 indexed citations
15.
Dash, Sonali & Manas Ranjan Senapati. (2018). Gray level run length matrix based on various illumination normalization techniques for texture classification. Evolutionary Intelligence. 14(2). 217–226. 14 indexed citations
16.
Dash, Sonali, et al.. (2017). Gaussian pyramid based laws' mask descriptor for texture classification. 4 indexed citations
17.
Dash, Sonali, et al.. (2017). Homomorphic Normalization-Based Descriptors for Texture Classification. Arabian Journal for Science and Engineering. 43(8). 4303–4313. 7 indexed citations
18.
Dash, Sonali, et al.. (2016). Texture classification using Steerable Pyramid based Laws’ Masks. SHILAP Revista de lepidopterología. 4(1). 185–197. 18 indexed citations
19.
Dash, Sonali, et al.. (2015). Comparative study of image texture classification techniques. 32. 1–6. 2 indexed citations
20.
Panigrahi, B.K., Prakash Kumar Hota, & Sonali Dash. (2004). POWER QUALITY ANALYSIS USING PHASE CORRELATED WAVELET TRANSFORM. 3(2). 151–155. 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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