Samiksha Pachade
- Radiology, Nuclear Medicine and Imaging top 2%
- Ophthalmology top 1%
- Computer Vision and Pattern Recognition top 2%
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Co-authors
- Manesh KokarePrasanna PorwalFabrice MériaudeauRavi KambleLuca GiancardoGwenolé QuellecSunil A. ShethRoomasa Channa
- Topics
- Retinal Imaging and Analysis (9 papers)Retinal Diseases and Treatments (5 papers)Retinal and Optic Conditions (4 papers)
- Partner nations
- United StatesMalaysiaIndia
In The Last Decade
Samiksha Pachade
12 papers receiving 791 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Radiology, Nuclear Medicine and Imaging 756
- Ophthalmology 495
- Computer Vision and Pattern Recognition 365
- Health Information Management 127
- Artificial Intelligence 115
Countries citing papers authored by Samiksha Pachade
This map shows the geographic impact of Samiksha Pachade'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 Samiksha Pachade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samiksha Pachade more than expected).
Fields of papers citing papers by Samiksha Pachade
This network shows the impact of papers produced by Samiksha Pachade. 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 Samiksha Pachade. The network helps show where Samiksha Pachade may publish in the future.
Co-authorship network of co-authors of Samiksha Pachade
This figure shows the co-authorship network connecting the top 25 collaborators of Samiksha Pachade. A scholar is included among the top collaborators of Samiksha Pachade 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 Samiksha Pachade. Samiksha Pachade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 14 | |
| 7 | 47 | |
| 8 | Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Researchbreakdown → | 157 |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Researchbreakdown → | 548 |
About Samiksha Pachade
Samiksha Pachade is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 827 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (5 papers) and Retinal and Optic Conditions (4 papers). The work is most often cited by research in Ophthalmology (495 citations), Radiology, Nuclear Medicine and Imaging (756 citations) and Health Information Management (127 citations). Samiksha Pachade has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include Manesh Kokare, Prasanna Porwal, Fabrice Mériaudeau, Ravi Kamble, Luca Giancardo, Gwenolé Quellec, Sunil A. Sheth, Roomasa Channa, Ivan Coronado and Sergio Salazar‐Marioni. Their work appears in journals such as Scientific Reports, Medical Image Analysis and Computers in Biology and Medicine.
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.