Ambreen Nazir

717 total citations · 1 hit paper
12 papers, 412 citations indexed

About

Ambreen Nazir is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Ambreen Nazir has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 6 papers in Information Systems. Recurrent topics in Ambreen Nazir's work include Misinformation and Its Impacts (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Spam and Phishing Detection (5 papers). Ambreen Nazir is often cited by papers focused on Misinformation and Its Impacts (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Spam and Phishing Detection (5 papers). Ambreen Nazir collaborates with scholars based in China and Pakistan. Ambreen Nazir's co-authors include Lianwei Wu, Ling Sun, Yuan Rao, Yuan Rao, Hao Liang, Wanzhen Wang, Xiong Yang and Cong Feng and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Ambreen Nazir

12 papers receiving 391 citations

Hit Papers

Issues and Challenges of Aspect-based Sentiment Analysis:... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambreen Nazir China 10 323 172 121 40 18 12 412
Huyen Trang Phan Poland 9 314 1.0× 81 0.5× 122 1.0× 28 0.7× 20 1.1× 19 385
Ling Sun China 8 253 0.8× 113 0.7× 75 0.6× 40 1.0× 7 0.4× 9 330
Shirin Nilizadeh United States 9 291 0.9× 168 1.0× 123 1.0× 29 0.7× 18 1.0× 27 429
Maram Hasanain Qatar 9 191 0.6× 146 0.8× 84 0.7× 18 0.5× 10 0.6× 36 269
Kenji Tateishi Japan 3 283 0.9× 55 0.3× 99 0.8× 24 0.6× 16 0.9× 9 322
Mikalai Tsytsarau Italy 6 277 0.9× 63 0.4× 97 0.8× 69 1.7× 12 0.7× 11 366
Fattane Zarrinkalam Canada 10 166 0.5× 71 0.4× 153 1.3× 102 2.5× 21 1.2× 33 293
Toshikazu Fukushima Japan 6 315 1.0× 55 0.3× 121 1.0× 25 0.6× 25 1.4× 16 362
R Rajasree India 5 261 0.8× 53 0.3× 104 0.9× 20 0.5× 34 1.9× 17 353
Agustín Espinosa Spain 9 162 0.5× 128 0.7× 69 0.6× 20 0.5× 6 0.3× 24 252

Countries citing papers authored by Ambreen Nazir

Since Specialization
Citations

This map shows the geographic impact of Ambreen Nazir'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 Ambreen Nazir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambreen Nazir more than expected).

Fields of papers citing papers by Ambreen Nazir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ambreen Nazir. 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 Ambreen Nazir. The network helps show where Ambreen Nazir may publish in the future.

Co-authorship network of co-authors of Ambreen Nazir

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

All Works

12 of 12 papers shown
1.
Nazir, Ambreen & Yuan Rao. (2022). IAOTP. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1588–1598. 2 indexed citations
2.
Sun, Ling, et al.. (2022). Fighting False Information from Propagation Process: A Survey. ACM Computing Surveys. 55(10). 1–38. 22 indexed citations
3.
Nazir, Ambreen, Yuan Rao, Lianwei Wu, & Ling Sun. (2022). IAF-LG: An Interactive Attention Fusion Network With Local and Global Perspective for Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 13(4). 1730–1742. 9 indexed citations
4.
Wu, Lianwei, et al.. (2021). Category-controlled Encoder-Decoder for Fake News Detection. IEEE Transactions on Knowledge and Data Engineering. 1–1. 32 indexed citations
5.
6.
Wu, Lianwei, Yuan Rao, Xiong Yang, Wanzhen Wang, & Ambreen Nazir. (2020). Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification. 1388–1394. 15 indexed citations
7.
Nazir, Ambreen, Yuan Rao, Lianwei Wu, & Ling Sun. (2020). Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey. IEEE Transactions on Affective Computing. 13(2). 845–863. 206 indexed citations breakdown →
8.
Feng, Cong, et al.. (2020). Pre-trained Language Embedding-based Contextual Summary and Multi-scale Transmission Network for Aspect Extraction. Procedia Computer Science. 174. 40–49. 9 indexed citations
9.
Wu, Lianwei, et al.. (2019). A Multi-semantics Classification Method Based on Deep Learning for Incredible Messages on Social Media. Chinese Journal of Electronics. 28(4). 754–763. 11 indexed citations
10.
Wu, Lianwei, et al.. (2019). Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. 4643–4652. 43 indexed citations
11.
Wu, Lianwei, et al.. (2019). Discovering differential features: Adversarial learning for information credibility evaluation. Information Sciences. 516. 453–473. 24 indexed citations
12.
Nazir, Ambreen, et al.. (2013). Activity Based Quality Model for Evaluating Web2.0 Applications. International Journal of Modern Education and Computer Science. 5(3). 8–17. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026