Pintu Chandra Shill
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 1%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Co-authors
- Animesh Kumar PaulKazuyuki MuraseM. A. H. AkhandM. M. Hafizur RahmanShahidul IslamMd. Mahbubar RahmanMd. Faijul AminMd. Asaduzzaman
- Topics
- Fuzzy Logic and Control Systems (23 papers)Neural Networks and Applications (17 papers)Bioinformatics and Genomic Networks (8 papers)
- Partner nations
- BangladeshJapanMalaysia
In The Last Decade
Pintu Chandra Shill
65 papers receiving 516 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 267
- Computer Vision and Pattern Recognition 139
- Health Information Management 129
- Radiology, Nuclear Medicine and Imaging 88
- Media Technology 78
Countries citing papers authored by Pintu Chandra Shill
This map shows the geographic impact of Pintu Chandra Shill'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 Pintu Chandra Shill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pintu Chandra Shill more than expected).
Fields of papers citing papers by Pintu Chandra Shill
This network shows the impact of papers produced by Pintu Chandra Shill. 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 Pintu Chandra Shill. The network helps show where Pintu Chandra Shill may publish in the future.
Co-authorship network of co-authors of Pintu Chandra Shill
This figure shows the co-authorship network connecting the top 25 collaborators of Pintu Chandra Shill. A scholar is included among the top collaborators of Pintu Chandra Shill 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 Pintu Chandra Shill. Pintu Chandra Shill 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | Acoustic Modeling of Bangla Words using Deep Belief Network | 4 |
| 15 | 4 | |
| 16 | 67 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Pintu Chandra Shill
Pintu Chandra Shill is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 553 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (23 papers), Neural Networks and Applications (17 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Health Information Management (129 citations), Media Technology (78 citations) and Medical Laboratory Technology (13 citations). Pintu Chandra Shill has collaborated with scholars based in Bangladesh, Japan and Malaysia. Frequent co-authors include Animesh Kumar Paul, Kazuyuki Murase, M. A. H. Akhand, M. M. Hafizur Rahman, Shahidul Islam, Md. Mahbubar Rahman, Md. Faijul Amin, Md. Asaduzzaman, Yoichiro Maeda and Md. Abul Ala Walid. Their work appears in journals such as Information Sciences, Applied Intelligence and Biosystems.
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.