Ali Daud
Impact in
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- Online Learning and Analytics
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- Expert finding and Q&A systems 21
- Recommender Systems and Techniques 10
- Co-authors
- Jalal S. AlowibdiAbdulrahman A. AlshdadiTehmina AmjadNaif Radi AljohaniMohamed M. DessoukyEssa AlhazmiRabeeh Ayaz AbbasiWahab Khan
- Journals
- IEEE Access (16 papers)Scientometrics (9 papers)Scientific Reports (7 papers)Artificial Intelligence Review (7 papers)International Journal on Semantic Web and Information Systems (6 papers)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Ali Daud
136 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Science Applications 330
- Modeling and Simulation 208
- Artificial Intelligence 1.1k
- Information Systems 763
- Statistical and Nonlinear Physics 392
Countries citing papers authored by Ali Daud
This map shows the geographic impact of Ali Daud'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 Ali Daud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Daud more than expected).
Fields of papers citing papers by Ali Daud
This network shows the impact of papers produced by Ali Daud. 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 Ali Daud. The network helps show where Ali Daud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ali Daud, 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 | 2 | |
| 2 | BERT applications in natural language processing: a review Hit paper breakdown → | 2025 | 22 |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 9 | |
| 14 | 2019 | 26 | |
| 15 | 2019 | 8 | |
| 16 | Unified Author Ranking based on Integrated Publication and Venue Rank | 2017 | 5 |
| 17 | Expert ranking using reputation and answer quality of co-existing users. | 2017 | 8 |
| 18 | Impact of mutual influence while ranking authors in a co-authorship network | 2016 | 19 |
| 19 | A survey on the state-of-the-art machine learning models in the context of NLP | 2016 | 52 |
| 20 | Research Community Mining via Generalized Topic Modeling | 2012 | 0 |
About Ali Daud
Ali Daud is a scholar working on Computer Science Applications, Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 149 papers that have together received 3.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Topic Modeling (28 papers), Expert finding and Q&A systems (21 papers), IoT and Edge/Fog Computing (12 papers), Natural Language Processing Techniques (11 papers), scientometrics and bibliometrics research (11 papers), Recommender Systems and Techniques (10 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Computer Science Applications (330 citations), Modeling and Simulation (208 citations), Artificial Intelligence (1.1k citations), Information Systems (763 citations) and Statistical and Nonlinear Physics (392 citations). Ali Daud has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Jalal S. Alowibdi, Abdulrahman A. Alshdadi, Tehmina Amjad, Naif Radi Aljohani, Mohamed M. Dessouky, Essa Alhazmi, Rabeeh Ayaz Abbasi, Wahab Khan, Dunren Che and Hussain Dawood. Their work appears in journals such as IEEE Access, Scientometrics, Scientific Reports, Artificial Intelligence Review and International Journal on Semantic Web and Information Systems.
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.