Parvaneh Asghari
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hamid Haj Seyyed JavadiAmir Masoud RahmaniMostafa Haghi KashaniEbrahim MahdipourMohammad NikravanAlireza SouriSam JabbehdariMehdi Hosseinzadeh
- Topics
- IoT and Edge/Fog Computing (21 papers)Caching and Content Delivery (8 papers)Cloud Computing and Resource Management (5 papers)
In The Last Decade
Parvaneh Asghari
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Networks and Communications 691
- Information Systems 431
- Artificial Intelligence 232
- Electrical and Electronic Engineering 227
- Computer Vision and Pattern Recognition 137
Countries citing papers authored by Parvaneh Asghari
This map shows the geographic impact of Parvaneh Asghari'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 Parvaneh Asghari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parvaneh Asghari more than expected).
Fields of papers citing papers by Parvaneh Asghari
This network shows the impact of papers produced by Parvaneh Asghari. 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 Parvaneh Asghari. The network helps show where Parvaneh Asghari may publish in the future.
Co-authorship network of co-authors of Parvaneh Asghari
This figure shows the co-authorship network connecting the top 25 collaborators of Parvaneh Asghari. A scholar is included among the top collaborators of Parvaneh Asghari 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 Parvaneh Asghari. Parvaneh Asghari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 26 | |
| 20 | 11 |
About Parvaneh Asghari
Parvaneh Asghari is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (21 papers), Caching and Content Delivery (8 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Computer Networks and Communications (691 citations), Health Information Management (99 citations) and Information Systems (431 citations). Parvaneh Asghari has collaborated with scholars based in Iran, Iraq and Vietnam. Frequent co-authors include Hamid Haj Seyyed Javadi, Amir Masoud Rahmani, Mostafa Haghi Kashani, Ebrahim Mahdipour, Mohammad Nikravan, Alireza Souri, Sam Jabbehdari, Mehdi Hosseinzadeh, Jalil Koohpayehzadeh and Sepideh Bazzaz Abkenar. Their work appears in journals such as PLoS ONE, Expert Systems with Applications 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.