Showmik Bhowmik
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Ram SarkarMita NasipuriSamir MalakarManosij GhoshDavid DoermannPawan Kumar SinghErgina KavallieratouSubhadip Basu
- Topics
- Handwritten Text Recognition Techniques (24 papers)Vehicle License Plate Recognition (12 papers)Image Retrieval and Classification Techniques (11 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Instrumentation and MeasurementNeural Computing and Applications
- Partner nations
- IndiaGreeceUnited States
In The Last Decade
Showmik Bhowmik
26 papers receiving 499 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 396
- Media Technology 174
- Artificial Intelligence 166
- Human-Computer Interaction 34
- Signal Processing 21
Countries citing papers authored by Showmik Bhowmik
This map shows the geographic impact of Showmik Bhowmik'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 Showmik Bhowmik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Showmik Bhowmik more than expected).
Fields of papers citing papers by Showmik Bhowmik
This network shows the impact of papers produced by Showmik Bhowmik. 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 Showmik Bhowmik. The network helps show where Showmik Bhowmik may publish in the future.
Co-authorship network of co-authors of Showmik Bhowmik
This figure shows the co-authorship network connecting the top 25 collaborators of Showmik Bhowmik. A scholar is included among the top collaborators of Showmik Bhowmik 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 Showmik Bhowmik. Showmik Bhowmik 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 | 4 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 21 | |
| 13 | 163 | |
| 14 | 45 | |
| 15 | 15 | |
| 16 | 32 | |
| 17 | 14 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | 18 |
About Showmik Bhowmik
Showmik Bhowmik is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 540 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (24 papers), Vehicle License Plate Recognition (12 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Media Technology (174 citations), Computer Vision and Pattern Recognition (396 citations) and Human-Computer Interaction (34 citations). Showmik Bhowmik has collaborated with scholars based in India, Greece and United States. Frequent co-authors include Ram Sarkar, Mita Nasipuri, Samir Malakar, Manosij Ghosh, David Doermann, Pawan Kumar Singh, Ergina Kavallieratou, Subhadip Basu, Mahantapas Kundu and Kushal Kanti Ghosh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Instrumentation and Measurement and Neural Computing and Applications.
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.