MD Abdullah Al Nasim
- Neurology top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Co-authors
- Faisal Muhammad ShahTonmoy HossainKishor Datta GuptaSovon ChakrabortyRoy GeorgeAnisur RahmanMohammad Shahidul IslamA. B. M. Alim Al Islam
- Topics
- Gaze Tracking and Assistive Technology (3 papers)Tactile and Sensory Interactions (3 papers)Handwritten Text Recognition Techniques (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBig Data and Cognitive Computing
- Partner nations
- BangladeshUnited StatesLebanon
In The Last Decade
MD Abdullah Al Nasim
12 papers receiving 221 citations
Peers
Comparison fields: 5 of 46
- Neurology 155
- Computer Vision and Pattern Recognition 119
- Artificial Intelligence 73
- Radiology, Nuclear Medicine and Imaging 66
- Electrical and Electronic Engineering 20
Countries citing papers authored by MD Abdullah Al Nasim
This map shows the geographic impact of MD Abdullah Al Nasim'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 MD Abdullah Al Nasim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MD Abdullah Al Nasim more than expected).
Fields of papers citing papers by MD Abdullah Al Nasim
This network shows the impact of papers produced by MD Abdullah Al Nasim. 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 MD Abdullah Al Nasim. The network helps show where MD Abdullah Al Nasim may publish in the future.
Co-authorship network of co-authors of MD Abdullah Al Nasim
This figure shows the co-authorship network connecting the top 25 collaborators of MD Abdullah Al Nasim. A scholar is included among the top collaborators of MD Abdullah Al Nasim 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 MD Abdullah Al Nasim. MD Abdullah Al Nasim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 24 | |
| 3 | 29 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 150 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 |
About MD Abdullah Al Nasim
MD Abdullah Al Nasim is a scholar working on Human-Computer Interaction, Neurology and Media Technology, having authored 12 papers that have together received 251 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (3 papers), Tactile and Sensory Interactions (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Neurology (155 citations), Computer Vision and Pattern Recognition (119 citations) and Health Informatics (5 citations). MD Abdullah Al Nasim has collaborated with scholars based in Bangladesh, United States and Lebanon. Frequent co-authors include Faisal Muhammad Shah, Tonmoy Hossain, Kishor Datta Gupta, Sovon Chakraborty, Roy George, Anisur Rahman, Mohammad Shahidul Islam and A. B. M. Alim Al Islam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Big Data and Cognitive Computing.
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.