Farheen Siddiqui
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Computer Networks and Communications
- Health Information Management top 5%
- Ophthalmology top 10%
- Co-authors
- Sameena NaazMohd Abdul AhadShahab Saquib SohailGabriella CasalinoDag Øivind MadsenM. Afshar AlamGautami TripathiFaiza Farhat
- Topics
- IoT and Edge/Fog Computing (6 papers)Cloud Computing and Resource Management (6 papers)Smart Agriculture and AI (5 papers)
In The Last Decade
Farheen Siddiqui
29 papers receiving 187 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 61
- Information Systems 59
- Computer Networks and Communications 40
- Health Information Management 38
- Ophthalmology 31
Countries citing papers authored by Farheen Siddiqui
This map shows the geographic impact of Farheen Siddiqui'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 Farheen Siddiqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farheen Siddiqui more than expected).
Fields of papers citing papers by Farheen Siddiqui
This network shows the impact of papers produced by Farheen Siddiqui. 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 Farheen Siddiqui. The network helps show where Farheen Siddiqui may publish in the future.
Co-authorship network of co-authors of Farheen Siddiqui
This figure shows the co-authorship network connecting the top 25 collaborators of Farheen Siddiqui. A scholar is included among the top collaborators of Farheen Siddiqui 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 Farheen Siddiqui. Farheen Siddiqui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 61 | |
| 18 | 1 | |
| 19 | Feature Extraction and Classification of EEG Signals Using Neural Network Based Techniques | 1 |
| 20 | Ontology Based Application Model for Feature Driven Development. | 2 |
About Farheen Siddiqui
Farheen Siddiqui is a scholar working on Health Information Management, Information Systems and Computer Networks and Communications, having authored 37 papers that have together received 203 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Health Information Management (38 citations), Ophthalmology (31 citations) and Health Informatics (4 citations). Farheen Siddiqui has collaborated with scholars based in India, Norway and Italy. Frequent co-authors include Sameena Naaz, Mohd Abdul Ahad, Shahab Saquib Sohail, Gabriella Casalino, Dag Øivind Madsen, M. Afshar Alam, Gautami Tripathi, Faiza Farhat, Parul Agarwal and Reyazur Rashid Irshad. Their work appears in journals such as Scientific Reports, Sensors and BMC Bioinformatics.
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.