Amitava Das
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Plant Science
- Artificial Intelligence
- Analytical Chemistry top 10%
- Co-authors
- H. K. SardanaA. GershoNarender P. ReddyA.V. RaoSatish KumarAparna AkulaRipul GhoshNidhi Khanna
- Topics
- Speech and Audio Processing (12 papers)Advanced Data Compression Techniques (8 papers)Speech Recognition and Synthesis (7 papers)
- Journals
- Scientific ReportsTrends in Food Science & TechnologyComputer Methods and Programs in Biomedicine
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amitava Das
46 papers receiving 422 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 141
- Signal Processing 103
- Plant Science 89
- Artificial Intelligence 75
- Analytical Chemistry 68
Countries citing papers authored by Amitava Das
This map shows the geographic impact of Amitava 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 Amitava Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitava Das more than expected).
Fields of papers citing papers by Amitava Das
This network shows the impact of papers produced by Amitava 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 Amitava Das. The network helps show where Amitava Das may publish in the future.
Co-authorship network of co-authors of Amitava Das
This figure shows the co-authorship network connecting the top 25 collaborators of Amitava Das. A scholar is included among the top collaborators of Amitava 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 Amitava Das. Amitava 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 | 0 | |
| 4 | 14 | |
| 5 | 28 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | English Bengali Ad-hoc Monolingual Information Retrieval Task Result at FIRE 2008 | 3 |
| 11 | 1 | |
| 12 | Design of non accidental lane | 0 |
| 13 | Conjunctival intra-epithelial neoplasia in a young Indian male with human immunodeficiency virus (HIV) infection. | 0 |
| 14 | 18 | |
| 15 | Micronutrient Profile of Feeds, Fodders and Animals in Hill Zone of West Bengal | 2 |
| 16 | Distribution of some Major and Trace Elements in Soil, Feed, Fodder and Livestock in Red Laterite Zone of West Bengal | 3 |
| 17 | 5 | |
| 18 | 47 | |
| 19 | 1 | |
| 20 | 3 |
About Amitava Das
Amitava Das is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 50 papers that have together received 457 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Advanced Data Compression Techniques (8 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (103 citations), Speech and Hearing (60 citations) and Analytical Chemistry (68 citations). Amitava Das has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include H. K. Sardana, A. Gersho, Narender P. Reddy, A.V. Rao, Satish Kumar, Aparna Akula, Ripul Ghosh, Nidhi Khanna, S. K. Mittal and V. Ramasubramanian. Their work appears in journals such as Scientific Reports, Trends in Food Science & Technology and Computer Methods and Programs in Biomedicine.
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.