Ehtesham Hashmi
Impact in
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
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- Advanced Malware Detection Techniques
Papers in
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- Hate Speech and Cyberbullying Detection 10
- Topic Modeling 5
- Advanced Text Analysis Techniques 4
- Sentiment Analysis and Opinion Mining 4
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- Spam and Phishing Detection 2
- Co-authors
- Sule Yildirim Yayilgan (15 shared papers)Muhammad Mudassar Yamin (8 shared papers)Mohamed Abomhara (5 shared papers)Subhan Ali (1 shared paper)Sarang Shaikh (4 shared papers)Mohib Ullah (6 shared papers)Basel Katt (1 shared paper)Ibrahim A. Hameed (1 shared paper)
In The Last Decade
Ehtesham Hashmi
14 papers receiving 182 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 136
- Signal Processing 31
- Communication 20
- Information Systems 57
- General Energy 1
Countries citing papers authored by Ehtesham Hashmi
This map shows the geographic impact of Ehtesham Hashmi'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 Ehtesham Hashmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehtesham Hashmi more than expected).
Fields of papers citing papers by Ehtesham Hashmi
This network shows the impact of papers produced by Ehtesham Hashmi. 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 Ehtesham Hashmi. The network helps show where Ehtesham Hashmi may publish in the future.
Co-authors
The 16 scholars most cited alongside Ehtesham Hashmi, 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 | Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI Hit paper breakdown → | 2024 | 59 |
| 2 | 2024 | 21 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Ehtesham Hashmi
Ehtesham Hashmi is a scholar working on Artificial Intelligence, Information Systems, Communication, Sociology and Political Science and Social Psychology, having authored 19 papers that have together received 194 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (10 papers), Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Swearing, Euphemism, Multilingualism (3 papers), Spam and Phishing Detection (2 papers), Advanced Malware Detection Techniques (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Artificial Intelligence (136 citations), Signal Processing (31 citations), Communication (20 citations), Information Systems (57 citations) and General Energy (1 citation). Ehtesham Hashmi has collaborated with scholars based in Norway, Pakistan and France. Frequent co-authors include Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohamed Abomhara, Subhan Ali, Sarang Shaikh, Mohib Ullah, Basel Katt, Ibrahim A. Hameed, Sher Muhammad Daudpota and Ali Shariq Imran. Their work appears in journals such as Complex & Intelligent Systems, IEEE Access, Electronics, Engineering Applications of Artificial Intelligence and Electronic Commerce Research.
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.