Ayatullah Faruk Mollah
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Molecular Biology
- Co-authors
- Tauseef KhanRam SarkarSubhadip BasuMita NasipuriVikrant BhatejaNibaran DasMahantapas KunduDariusz Plewczyński
- Topics
- Handwritten Text Recognition Techniques (23 papers)Vehicle License Plate Recognition (10 papers)Image Retrieval and Classification Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesIEEE Access
- Partner nations
- IndiaPolandNetherlands
In The Last Decade
Ayatullah Faruk Mollah
28 papers receiving 213 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 174
- Media Technology 78
- Artificial Intelligence 50
- Human-Computer Interaction 31
- Molecular Biology 15
Countries citing papers authored by Ayatullah Faruk Mollah
This map shows the geographic impact of Ayatullah Faruk Mollah'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 Ayatullah Faruk Mollah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayatullah Faruk Mollah more than expected).
Fields of papers citing papers by Ayatullah Faruk Mollah
This network shows the impact of papers produced by Ayatullah Faruk Mollah. 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 Ayatullah Faruk Mollah. The network helps show where Ayatullah Faruk Mollah may publish in the future.
Co-authorship network of co-authors of Ayatullah Faruk Mollah
This figure shows the co-authorship network connecting the top 25 collaborators of Ayatullah Faruk Mollah. A scholar is included among the top collaborators of Ayatullah Faruk Mollah 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 Ayatullah Faruk Mollah. Ayatullah Faruk Mollah 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 | 11 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | Scene Text Component Segmentation Using Hierarchical Distance Slicing | 1 |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique. | 4 |
| 20 | 14 |
About Ayatullah Faruk Mollah
Ayatullah Faruk Mollah is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 33 papers that have together received 224 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (23 papers), Vehicle License Plate Recognition (10 papers) and Image Retrieval and Classification Techniques (10 papers). The work is most often cited by research in Media Technology (78 citations), Computer Vision and Pattern Recognition (174 citations) and Human-Computer Interaction (31 citations). Ayatullah Faruk Mollah has collaborated with scholars based in India, Poland and Netherlands. Frequent co-authors include Tauseef Khan, Ram Sarkar, Subhadip Basu, Mita Nasipuri, Vikrant Bhateja, Nibaran Das, Mahantapas Kundu, Dariusz Plewczyński, Jürgen Claesen and Teresa Szczepińska. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and IEEE Access.
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.