Hassan Sajjad

2.7k total citations
58 papers, 956 citations indexed

About

Hassan Sajjad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Hassan Sajjad has authored 58 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 4 papers in Communication. Recurrent topics in Hassan Sajjad's work include Topic Modeling (45 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (11 papers). Hassan Sajjad is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (11 papers). Hassan Sajjad collaborates with scholars based in Qatar, Germany and Canada. Hassan Sajjad's co-authors include Nadir Durrani, Fahim Dalvi, Helmut Schmid, Muhammad Imran, Kareem Darwish, Ahmed Abdelalí, Alexander Fraser, Yonatan Belinkov, Stephan Vogel and Shafiq Joty and has published in prestigious journals such as Computational Linguistics, International Journal of Disaster Risk Reduction and Language Resources and Evaluation.

In The Last Decade

Hassan Sajjad

55 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hassan Sajjad Qatar 18 839 174 162 138 79 58 956
Shane Bergsma Canada 19 764 0.9× 106 0.6× 80 0.5× 38 0.3× 172 2.2× 34 951
Roy Ka-Wei Lee Singapore 15 537 0.6× 96 0.6× 108 0.7× 46 0.3× 117 1.5× 63 721
Koustav Rudra India 14 432 0.5× 30 0.2× 225 1.4× 291 2.1× 69 0.9× 34 642
Parinaz Sobhani Canada 8 898 1.1× 79 0.5× 284 1.8× 79 0.6× 183 2.3× 10 1.1k
Ahmed Abdelalí Qatar 18 924 1.1× 98 0.6× 93 0.6× 21 0.2× 180 2.3× 76 1.0k
Delip Rao United States 8 780 0.9× 32 0.2× 127 0.8× 70 0.5× 241 3.1× 18 976
David Kauchak United States 17 962 1.1× 81 0.5× 25 0.2× 14 0.1× 92 1.2× 45 1.1k
Dat Quoc Nguyen Vietnam 13 498 0.6× 36 0.2× 127 0.8× 34 0.2× 92 1.2× 32 674
Robert Frederking United States 15 539 0.6× 51 0.3× 22 0.1× 20 0.1× 133 1.7× 58 655
Alan Akbik Germany 10 1.0k 1.2× 79 0.5× 59 0.4× 13 0.1× 143 1.8× 38 1.1k

Countries citing papers authored by Hassan Sajjad

Since Specialization
Citations

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

Fields of papers citing papers by Hassan Sajjad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hassan Sajjad

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

All Works

20 of 20 papers shown
1.
Dalvi, Fahim, Hassan Sajjad, & Nadir Durrani. (2023). NeuroX Library for Neuron Analysis of Deep NLP Models. 226–234. 2 indexed citations
2.
Alam, Firoj, et al.. (2023). ConceptX: A Framework for Latent Concept Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16395–16397. 2 indexed citations
3.
Dalvi, Fahim, et al.. (2023). NxPlain: A Web-based Tool for Discovery of Latent Concepts. 75–83. 1 indexed citations
4.
Sajjad, Hassan, et al.. (2023). Impact of Adversarial Training on Robustness and Generalizability of Language Models. 7828–7840. 4 indexed citations
5.
Abdelalí, Ahmed, Nadir Durrani, Fahim Dalvi, & Hassan Sajjad. (2022). Post-hoc analysis of Arabic transformer models. 91–103. 1 indexed citations
6.
Sajjad, Hassan, Fahim Dalvi, Nadir Durrani, & Preslav Nakov. (2022). On the effect of dropping layers of pre-trained transformer models. Computer Speech & Language. 77. 101429–101429. 38 indexed citations
7.
Specia, Lucia, Juan Pino, Vishrav Chaudhary, et al.. (2020). Findings of the WMT 2020 Shared Task on Machine Translation Robustness. Empirical Methods in Natural Language Processing. 76–91. 8 indexed citations
8.
Dalvi, Fahim, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, & Stephan Vogel. (2017). Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder. International Joint Conference on Natural Language Processing. 1. 142–151. 26 indexed citations
9.
Belinkov, Yonatan, Lluı́s Màrquez, Hassan Sajjad, et al.. (2017). Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. International Joint Conference on Natural Language Processing. 1. 1–10. 39 indexed citations
10.
Eldesouki, Mohamed, Fahim Dalvi, Hassan Sajjad, & Kareem Darwish. (2016). QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features.. International Conference on Computational Linguistics. 221–226. 14 indexed citations
11.
Durrani, Nadir, Hassan Sajjad, Shafiq Joty, & Ahmed Abdelalí. (2016). A Deep Fusion Model for Domain Adaptation in Phrase-based MT. International Conference on Computational Linguistics. 3177–3187. 4 indexed citations
12.
Fraser, Alexander, et al.. (2013). Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT. Workshop on Statistical Machine Translation. 232–239. 9 indexed citations
13.
Sajjad, Hassan, et al.. (2013). QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation. Workshop on Statistical Machine Translation. 219–224. 8 indexed citations
14.
Sajjad, Hassan, Kareem Darwish, & Yonatan Belinkov. (2013). Translating Dialectal Arabic to English. Meeting of the Association for Computational Linguistics. 1–6. 31 indexed citations
15.
Durrani, Nadir, Alexander Fraser, Helmut Schmid, Hassan Sajjad, & Richárd Farkas. (2013). Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13. Workshop on Statistical Machine Translation. 122–127. 7 indexed citations
16.
Sajjad, Hassan, Alexander Fraser, & Helmut Schmid. (2012). A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining. Meeting of the Association for Computational Linguistics. 1. 469–477. 26 indexed citations
17.
Sajjad, Hassan, Patrick Pantel, & Michael Gamon. (2012). Underspecified Query Refinement via Natural Language Question Generation. International Conference on Computational Linguistics. 2341–2356. 6 indexed citations
18.
Sajjad, Hassan, Nadir Durrani, Helmut Schmid, & Alexander Fraser. (2011). Comparing Two Techniques for Learning Transliteration Models Using a Parallel Corpus. International Joint Conference on Natural Language Processing. 129–137. 6 indexed citations
19.
Sajjad, Hassan, Alexander Fraser, & Helmut Schmid. (2011). An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment. Meeting of the Association for Computational Linguistics. 430–439. 14 indexed citations
20.
Durrani, Nadir, Hassan Sajjad, Alexander Fraser, & Helmut Schmid. (2010). Hindi-to-Urdu Machine Translation through Transliteration. Meeting of the Association for Computational Linguistics. 465–474. 32 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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