Neda Afreen
Impact in
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- Artificial Intelligence in Healthcare
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Nasmin Jiwani (11 shared papers)Ketan Gupta (11 shared papers)Mustafa Sameer (4 shared papers)Muneeb Ahmed (2 shared papers)Ranjeeta Patel (2 shared papers)Jameel Ahamed (2 shared papers)Nirmal Adhikari (3 shared papers)Mehmood Ali Mohammed (1 shared paper)
- Journals
- Revue d intelligence artificielle (2 papers)Lecture notes in networks and systems (1 paper)Procedia Computer Science (1 paper)SSRN Electronic Journal (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Neda Afreen
17 papers receiving 364 citations
Peers
Comparison fields: 5 of 73
- Health Information Management 73
- Signal Processing 56
- Neurology 29
- Computer Networks and Communications 85
- Ophthalmology 25
Countries citing papers authored by Neda Afreen
This map shows the geographic impact of Neda Afreen'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 Neda Afreen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Afreen more than expected).
Fields of papers citing papers by Neda Afreen
This network shows the impact of papers produced by Neda Afreen. 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 Neda Afreen. The network helps show where Neda Afreen may publish in the future.
Co-authors
The 13 scholars most cited alongside Neda Afreen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 55 | |
| 2 | 2022 | 51 | |
| 3 | 2022 | 42 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 29 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 0 |
About Neda Afreen
Neda Afreen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Artificial Intelligence in Healthcare (4 papers), Retinal Imaging and Analysis (4 papers), ECG Monitoring and Analysis (4 papers), Retinal Diseases and Treatments (3 papers), Anomaly Detection Techniques and Applications (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Health Information Management (73 citations), Signal Processing (56 citations), Neurology (29 citations), Computer Networks and Communications (85 citations) and Ophthalmology (25 citations). Neda Afreen has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Nasmin Jiwani, Ketan Gupta, Mustafa Sameer, Muneeb Ahmed, Ranjeeta Patel, Jameel Ahamed, Nirmal Adhikari, Mehmood Ali Mohammed, Simran Kaur and Nida Nasir. Their work appears in journals such as Revue d intelligence artificielle, Lecture notes in networks and systems, Procedia Computer Science, SSRN Electronic Journal and DOAJ (DOAJ: Directory of Open Access Journals).
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.