Ehtesham Hashmi

465 total citations · 1 hit paper
19 papers, 194 citations indexed

About

Ehtesham Hashmi is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Ehtesham Hashmi has authored 19 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Communication. Recurrent topics in Ehtesham Hashmi's work include Hate Speech and Cyberbullying Detection (10 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Ehtesham Hashmi is often cited by papers focused on Hate Speech and Cyberbullying Detection (10 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Ehtesham Hashmi collaborates with scholars based in Norway, Pakistan and France. Ehtesham Hashmi's co-authors include Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohamed Abomhara, Subhan Ali, Mohib Ullah, Sarang Shaikh, Basel Katt, Ibrahim A. Hameed, Ali Shariq Imran and Sher Muhammad Daudpota and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ehtesham Hashmi

14 papers receiving 182 citations

Hit Papers

Advancing Fake News Detection: Hybrid Deep Learning With ... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ehtesham Hashmi Norway 8 136 57 41 31 20 19 194
Yassine Al-Amrani Morocco 5 204 1.5× 97 1.7× 47 1.1× 10 0.3× 7 0.3× 10 270
John Mark Agosta United States 6 134 1.0× 67 1.2× 55 1.3× 40 1.3× 25 1.3× 12 215
Bill Tsoumas Greece 4 40 0.3× 111 1.9× 31 0.8× 51 1.6× 9 0.5× 4 155
Omar Einea United Arab Emirates 8 355 2.6× 105 1.8× 22 0.5× 20 0.6× 4 0.2× 10 411
Benjamin Schiller Germany 6 46 0.3× 51 0.9× 45 1.1× 10 0.3× 9 0.5× 12 125
Canhui Wang China 5 114 0.8× 88 1.5× 9 0.2× 7 0.2× 8 0.4× 8 174
Bashar Talafha Jordan 9 393 2.9× 53 0.9× 35 0.9× 7 0.2× 6 0.3× 21 433
Saroj Kaushik India 8 123 0.9× 54 0.9× 15 0.4× 9 0.3× 3 0.1× 30 170
Jason Andress Australia 5 32 0.2× 86 1.5× 27 0.7× 32 1.0× 4 0.2× 6 147
Ida Siahaan Italy 6 149 1.1× 42 0.7× 123 3.0× 41 1.3× 3 0.1× 11 190

Countries citing papers authored by Ehtesham Hashmi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ehtesham Hashmi

This figure shows the co-authorship network connecting the top 25 collaborators of Ehtesham Hashmi. A scholar is included among the top collaborators of Ehtesham Hashmi 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 Ehtesham Hashmi. Ehtesham Hashmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Imran, Ali Shariq, et al.. (2025). Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence. Engineering Applications of Artificial Intelligence. 149. 110136–110136. 4 indexed citations
2.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, & Mohamed Abomhara. (2025). Metalinguist: enhancing hate speech detection with cross-lingual meta-learning. Complex & Intelligent Systems. 11(4). 1 indexed citations
3.
Shaikh, Sarang, Ehtesham Hashmi, Sule Yildirim Yayilgan, Mohamed Abomhara, & Rajendra Akerkar. (2025). Improving Text Classification by Fusing Linguistic and Semantic Features. 1–8.
4.
Hashmi, Ehtesham, et al.. (2025). BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets in Urdu language. PLoS ONE. 20(6). e0317562–e0317562.
5.
Hashmi, Ehtesham, et al.. (2025). A Robust and Linguistically-Aware Hate Speech Detection System for Roman Urdu. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(10). 1–22.
6.
7.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohamed Abomhara, & Mohib Ullah. (2024). Self-supervised hate speech detection in Norwegian texts with lexical and semantic augmentations. Expert Systems with Applications. 264. 125843–125843. 7 indexed citations
8.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, & Sarang Shaikh. (2024). Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers. Social Network Analysis and Mining. 14(1). 14 indexed citations
9.
Hashmi, Ehtesham & Sule Yildirim Yayilgan. (2024). Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers. Complex & Intelligent Systems. 10(3). 4535–4556. 20 indexed citations
10.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, & Mohib Ullah. (2024). Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers. Complex & Intelligent Systems. 11(1). 3 indexed citations
11.
Hashmi, Ehtesham, Muhammad Mudassar Yamin, & Sule Yildirim Yayilgan. (2024). Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security. AI and Ethics. 5(3). 1911–1929. 15 indexed citations
12.
Hashmi, Ehtesham, et al.. (2024). Enhancing Misogyny Detection in Bilingual Texts Using FastText and Explainable AI. 1–6. 7 indexed citations
13.
Hashmi, Ehtesham, et al.. (2024). Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques. Electronics. 13(7). 1305–1305. 21 indexed citations
14.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Ibrahim A. Hameed, et al.. (2024). Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration. IEEE Access. 12. 121507–121537. 9 indexed citations
15.
Hashmi, Ehtesham & Sule Yildirim Yayilgan. (2024). A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews. Electronic Commerce Research. 25(6). 5139–5171. 13 indexed citations
16.
Ullah, Mohib, Ali Shariq Imran, Ghulam Mujtaba, et al.. (2024). A Self-Supervised Diffusion Framework For Facial Emotion Recognition. 465–471.
17.
Yamin, Muhammad Mudassar, Ehtesham Hashmi, Mohib Ullah, & Basel Katt. (2024). Applications of LLMs for Generating Cyber Security Exercise Scenarios. IEEE Access. 12. 143806–143822. 18 indexed citations
18.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Subhan Ali, & Mohamed Abomhara. (2024). Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI. IEEE Access. 12. 44462–44480. 59 indexed citations breakdown →
19.
Hashmi, Ehtesham, et al.. (2024). Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers. 1–6. 3 indexed citations

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.

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