Aman Ullah
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Complex Network Analysis Techniques 17
- Opinion Dynamics and Social Influence 17
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- Advanced Graph Neural Networks 8
- Co-authors
- Nasrullah Khan (12 shared papers)Jinfang Sheng (11 shared papers)Bin Wang (11 shared papers)Zejun Sun (8 shared papers)Jun Long (6 shared papers)Zongmin Ma (4 shared papers)Kemal Polat (4 shared papers)Rajesh Kumar (3 shared papers)
In The Last Decade
Aman Ullah
27 papers receiving 568 citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 355
- Artificial Intelligence 184
- Experimental and Cognitive Psychology 65
- Computer Networks and Communications 110
- Information Systems 100
Countries citing papers authored by Aman Ullah
This map shows the geographic impact of Aman Ullah'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 Aman Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aman Ullah more than expected).
Fields of papers citing papers by Aman Ullah
This network shows the impact of papers produced by Aman Ullah. 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 Aman Ullah. The network helps show where Aman Ullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Aman Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2021 | 78 | |
| 3 | 2019 | 35 | |
| 4 | 2023 | 30 | |
| 5 | 2021 | 25 | |
| 6 | 2024 | 25 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2025 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 10 |
About Aman Ullah
Aman Ullah is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Information Systems and Experimental and Cognitive Psychology, having authored 28 papers that have together received 583 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (17 papers), Advanced Graph Neural Networks (8 papers), Network Security and Intrusion Detection (4 papers), Recommender Systems and Techniques (3 papers), Software Engineering Research (2 papers), Mental Health Research Topics (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (355 citations), Artificial Intelligence (184 citations), Experimental and Cognitive Psychology (65 citations), Computer Networks and Communications (110 citations) and Information Systems (100 citations). Aman Ullah has collaborated with scholars based in China, Pakistan and Türkiye. Frequent co-authors include Nasrullah Khan, Jinfang Sheng, Bin Wang, Zejun Sun, Jun Long, Zongmin Ma, Kemal Polat, Rajesh Kumar, Salah Ud Din and Qinli Yang. Their work appears in journals such as Expert Systems with Applications, Applied Intelligence, Social Network Analysis and Mining, Information Processing & Management and IEEE Transactions on Industrial Informatics.
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.