Parham Moradi
Impact in
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Information Systems top 0.5%
- Recommender Systems and Techniques
Papers in
-
- Face and Expression Recognition 22
- Image Retrieval and Classification Techniques 14
-
- Text and Document Classification Technologies 16
- Metaheuristic Optimization Algorithms Research 13
- Advanced Graph Neural Networks 12
- Co-authors
- Sina TabakhiFardin AkhlaghianSajad AhmadianMahdi JaliliMehrdad RostamiAlireza AbdollahpouriNooruldeen Nasih QaderShahrokh Esmaeili
In The Last Decade
Parham Moradi
96 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.9k
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 941
- Statistical and Nonlinear Physics 423
- Computational Theory and Mathematics 322
Countries citing papers authored by Parham Moradi
This map shows the geographic impact of Parham Moradi'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 Parham Moradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parham Moradi more than expected).
Fields of papers citing papers by Parham Moradi
This network shows the impact of papers produced by Parham Moradi. 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 Parham Moradi. The network helps show where Parham Moradi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Parham Moradi, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 7 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 72 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 88 | |
| 14 | 2020 | 48 | |
| 15 | 2019 | 27 | |
| 16 | 2018 | 91 | |
| 17 | 2018 | 70 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 80 | |
| 20 | 2016 | 80 |
About Parham Moradi
Parham Moradi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Computer Science Applications, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (32 papers), Face and Expression Recognition (22 papers), Complex Network Analysis Techniques (17 papers), Text and Document Classification Technologies (16 papers), Image Retrieval and Classification Techniques (14 papers), Metaheuristic Optimization Algorithms Research (13 papers), Advanced Graph Neural Networks (12 papers) and Caching and Content Delivery (10 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (1.1k citations), Computer Vision and Pattern Recognition (941 citations), Statistical and Nonlinear Physics (423 citations) and Computational Theory and Mathematics (322 citations). Parham Moradi has collaborated with scholars based in Iran, Australia and Iraq. Frequent co-authors include Sina Tabakhi, Fardin Akhlaghian, Sajad Ahmadian, Mahdi Jalili, Mehrdad Rostami, Alireza Abdollahpouri, Nooruldeen Nasih Qader, Shahrokh Esmaeili, Fardin Ahmadizar and Reza Ranjbar. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Knowledge-Based Systems, Physica A Statistical Mechanics and its Applications and Information Sciences.
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.