Sourya Dipta Das
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Information Systems
- Media Technology top 10%
- Artificial Intelligence
- Co-authors
- Saikat DuttaDipankar DasNisarg A. ShahDwarikanath MahapatraPo‐Hsiung LinChih‐Chieh SuKuldeep Singh YadavJ. B. Nee
- Topics
- Natural Language Processing Techniques (2 papers)Retinal Imaging and Analysis (1 paper)Spam and Phishing Detection (1 paper)
- Journals
- NeurocomputingarXiv (Cornell University)2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
- Partner nations
- IndiaAustraliaUnited Arab Emirates
In The Last Decade
Sourya Dipta Das
7 papers receiving 111 citations
Peers
Comparison fields: 5 of 28
- Computer Vision and Pattern Recognition 56
- Sociology and Political Science 43
- Information Systems 37
- Media Technology 32
- Artificial Intelligence 30
Countries citing papers authored by Sourya Dipta Das
This map shows the geographic impact of Sourya Dipta 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 Sourya Dipta Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourya Dipta Das more than expected).
Fields of papers citing papers by Sourya Dipta Das
This network shows the impact of papers produced by Sourya Dipta 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 Sourya Dipta Das. The network helps show where Sourya Dipta Das may publish in the future.
Co-authorship network of co-authors of Sourya Dipta Das
This figure shows the co-authorship network connecting the top 25 collaborators of Sourya Dipta Das. A scholar is included among the top collaborators of Sourya Dipta 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 Sourya Dipta Das. Sourya Dipta Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 47 | |
| 4 | 55 | |
| 5 | Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model. | 1 |
| 6 | Unsupervised Identification of Relevant Cases & Statutes Using Word Embeddings. | 2 |
| 7 | 3 | |
| 8 | Incorporation of 3-D Scanning Lidar Data into Google Earth for Real-time Air Pollution Observation | 1 |
About Sourya Dipta Das
Sourya Dipta Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 8 papers that have together received 116 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Retinal Imaging and Analysis (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Media Technology (32 citations), Computer Vision and Pattern Recognition (56 citations) and Information Systems (37 citations). Sourya Dipta Das has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include Saikat Dutta, Dipankar Das, Nisarg A. Shah, Dwarikanath Mahapatra, Po‐Hsiung Lin, Chih‐Chieh Su, Kuldeep Singh Yadav, J. B. Nee, Shangpeng Sun and Jun Chu. Their work appears in journals such as Neurocomputing, arXiv (Cornell University) and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
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.