Nazmun Nahar
- Health Information Management top 2%
- Artificial Intelligence
- Epidemiology
- Information Systems
- Computer Networks and Communications
- Co-authors
- Karl AnderssonMohammad Shahadat HossainShamima AkterTanjim MahmudFazle RabbiAbhijit PathakKrishna Pada SahaMuhammad Qumrul Hassan
- Topics
- Artificial Intelligence in Healthcare (4 papers)Imbalanced Data Classification Techniques (2 papers)Robotic Path Planning Algorithms (2 papers)
- Journals
- KTH Publication Database DiVA (KTH Royal Institute of Technology)Communications on Applied ElectronicsZenodo (CERN European Organization for Nuclear Research)
- Partner nations
- BangladeshSwedenUnited States
In The Last Decade
Nazmun Nahar
11 papers receiving 175 citations
Peers
Comparison fields: 5 of 63
- Health Information Management 71
- Artificial Intelligence 66
- Epidemiology 31
- Information Systems 25
- Computer Networks and Communications 22
Countries citing papers authored by Nazmun Nahar
This map shows the geographic impact of Nazmun Nahar'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 Nazmun Nahar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nazmun Nahar more than expected).
Fields of papers citing papers by Nazmun Nahar
This network shows the impact of papers produced by Nazmun Nahar. 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 Nazmun Nahar. The network helps show where Nazmun Nahar may publish in the future.
Co-authorship network of co-authors of Nazmun Nahar
This figure shows the co-authorship network connecting the top 25 collaborators of Nazmun Nahar. A scholar is included among the top collaborators of Nazmun Nahar 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 Nazmun Nahar. Nazmun Nahar 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 | 30 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 77 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 2 |
About Nazmun Nahar
Nazmun Nahar is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 182 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Health Information Management (71 citations), Artificial Intelligence (66 citations) and Health Informatics (2 citations). Nazmun Nahar has collaborated with scholars based in Bangladesh, Sweden and United States. Frequent co-authors include Karl Andersson, Mohammad Shahadat Hossain, Shamima Akter, Tanjim Mahmud, Fazle Rabbi, Abhijit Pathak, Krishna Pada Saha, Muhammad Qumrul Hassan, Mohammad Ali and Mohammad N Uddin. Their work appears in journals such as KTH Publication Database DiVA (KTH Royal Institute of Technology), Communications on Applied Electronics and Zenodo (CERN European Organization for Nuclear Research).
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.