Faisal Kamiran
- Artificial Intelligence top 1%
- Safety Research top 0.2%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Health Informatics top 0.5%
- Co-authors
- Toon CaldersMykola PechenizkiyAsim KarimXiangliang ZhangIndrė ŽliobaitėSaeed‐Ul HassanIqra SafderKhurram Shahzad
- Topics
- Imbalanced Data Classification Techniques (13 papers)Machine Learning and Data Classification (6 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- PakistanNetherlandsSaudi Arabia
In The Last Decade
Faisal Kamiran
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 1.2k
- Safety Research 963
- Sociology and Political Science 240
- Information Systems 224
- Health Informatics 147
Countries citing papers authored by Faisal Kamiran
This map shows the geographic impact of Faisal Kamiran'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 Faisal Kamiran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faisal Kamiran more than expected).
Fields of papers citing papers by Faisal Kamiran
This network shows the impact of papers produced by Faisal Kamiran. 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 Faisal Kamiran. The network helps show where Faisal Kamiran may publish in the future.
Co-authorship network of co-authors of Faisal Kamiran
This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Kamiran. A scholar is included among the top collaborators of Faisal Kamiran 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 Faisal Kamiran. Faisal Kamiran 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | OSACT4 Shared Tasks: Ensembled Stacked Classification for Offensive and Hate Speech in Arabic Tweets | 5 |
| 10 | Text Classification in an Under-Resourced Language via Lexical Normalization and Feature Pooling | 3 |
| 11 | 1 | |
| 12 | IDENTIFICATIONOFINFLUENTIALUSERSIN SPEECH-BASEDNETWORKS | 1 |
| 13 | 64 | |
| 14 | 157 | |
| 15 | 1 | |
| 16 | 151 | |
| 17 | Classification with No Discrimination by Preferential Sampling | 35 |
| 18 | 203 | |
| 19 | 183 | |
| 20 | Classification Without Discrimination | 13 |
About Faisal Kamiran
Faisal Kamiran is a scholar working on Artificial Intelligence, Transportation and Safety Research, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (13 papers), Machine Learning and Data Classification (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Safety Research (963 citations), Health Informatics (147 citations) and Artificial Intelligence (1.2k citations). Faisal Kamiran has collaborated with scholars based in Pakistan, Netherlands and Saudi Arabia. Frequent co-authors include Toon Calders, Mykola Pechenizkiy, Asim Karim, Xiangliang Zhang, Indrė Žliobaitė, Saeed‐Ul Hassan, Iqra Safder, Khurram Shahzad, Mudassir Shabbir and Umar Saif. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior 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.