Wael Hamza

2.0k total citations · 1 hit paper
37 papers, 899 citations indexed

About

Wael Hamza is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wael Hamza has authored 37 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wael Hamza's work include Natural Language Processing Techniques (25 papers), Topic Modeling (22 papers) and Speech Recognition and Synthesis (14 papers). Wael Hamza is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (22 papers) and Speech Recognition and Synthesis (14 papers). Wael Hamza collaborates with scholars based in United States, Germany and China. Wael Hamza's co-authors include Radu Florian, Zhiguo Wang, R. Bakis, Ellen Eide, Michael Picheny, John F. Pitrelli, Gourab Kundu, Avirup Sil, Yue Zhang and Zhiguo Wang and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Cutaneous and Ocular Toxicology and arXiv (Cornell University).

In The Last Decade

Wael Hamza

36 papers receiving 808 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bilateral Multi-Perspective Matching for Natural Language Sentences

2017 380 citations Wael Hamza, Radu Florian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wael Hamza United States	13	826	169	132	95	68	37	899
Berlin Chen Taiwan	19	1.0k 1.2×	149 0.9×	273 2.1×	111 1.2×	60 0.9×	134	1.2k
Leonardo Neves United States	9	511 0.6×	171 1.0×	53 0.4×	86 0.9×	14 0.2×	26	642
Yun-Hsuan Sung United States	10	596 0.7×	116 0.7×	75 0.6×	64 0.7×	14 0.2×	20	695
Mounir Zrigui Tunisia	14	581 0.7×	80 0.5×	57 0.4×	125 1.3×	36 0.5×	124	701
Sabine Buchholz United Kingdom	15	1.2k 1.4×	60 0.4×	222 1.7×	79 0.8×	73 1.1×	30	1.3k
Kai Gao China	8	382 0.5×	66 0.4×	38 0.3×	51 0.5×	71 1.0×	48	452
Xiaoqing Zheng China	12	477 0.6×	90 0.5×	52 0.4×	78 0.8×	16 0.2×	50	567
Chenhui Chu Japan	14	604 0.7×	286 1.7×	42 0.3×	35 0.4×	29 0.4×	92	755
Jonathan Herzig Israel	13	601 0.7×	151 0.9×	21 0.2×	67 0.7×	26 0.4×	25	726
Brigitte Bigi France	9	265 0.3×	56 0.3×	75 0.6×	153 1.6×	65 1.0×	21	394

Countries citing papers authored by Wael Hamza

Since Specialization

Citations

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

Fields of papers citing papers by Wael Hamza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wael Hamza

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

All Works

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20 of 20 papers shown

1.

Sridhar, Mukund, et al.. (2023). Low-Resource Compositional Semantic Parsing with Concept Pretraining. 1410–1419. 1 indexed citations

2.

Li, S. X., et al.. (2022). Instilling Type Knowledge in Language Models via Multi-Task QA. 594–603. 4 indexed citations

3.

Soltan, Saleh, Víctor Soto, Ke Tran, & Wael Hamza. (2022). A Hybrid Approach to Cross-lingual Product Review Summarization. 18–28. 1 indexed citations

4.

Soltan, Saleh, et al.. (2022). CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. 444–462. 4 indexed citations

5.

Li, S. X., Jin Cao, Mukund Sridhar, et al.. (2021). Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. 1063–1074. 19 indexed citations

6.

Shi, Yipeng, et al.. (2021). Contextual Domain Classification with Temporal Representations. 41–48. 1 indexed citations

7.

Liu, Xinyue, Mingda Li, Luoxin Chen, et al.. (2021). ASR N-Best Fusion Nets. 7618–7622. 6 indexed citations

8.

Arkoudas, Konstantine, et al.. (2020). Delexicalized Paraphrase Generation. 102–112. 1 indexed citations

9.

Li, Mingda, et al.. (2020). Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. 113–123. 3 indexed citations

10.

Kundu, Gourab, et al.. (2018). Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking. 395–400. 17 indexed citations

11.

Sil, Avirup, Gourab Kundu, Radu Florian, & Wael Hamza. (2017). Neural Cross-Lingual Entity Linking. arXiv (Cornell University). 5464–5472. 24 indexed citations

12.

Shahin, Maha, et al.. (2013). Impact of intravitreal triamcinolone acetonide versus intravitreal bevacizumab on retrobulbar hemodynamic in patients with diabetic macular edema. Cutaneous and Ocular Toxicology. 33(1). 49–53. 10 indexed citations

13.

Eide, Ellen, Raul Castro Fernandez, Ron Hoory, et al.. (2006). The IBM Submission to the 2006 Blizzard Text-to-Speech Challenge. 49–52. 3 indexed citations

14.

Pitrelli, John F., R. Bakis, Ellen Eide, et al.. (2006). The IBM expressive text-to-speech synthesis system for American English. IEEE Transactions on Audio Speech and Language Processing. 14(4). 1099–1108. 84 indexed citations

15.

Campbell, N., Wael Hamza, Harald Höge, Jianhua Tao, & Gérard Bailly. (2006). Editorial Special Section on Expressive Speech Synthesis. IEEE Transactions on Audio Speech and Language Processing. 14(4). 1097–1098. 13 indexed citations

16.

Hamza, Wael & John F. Pitrelli. (2005). Combining the flexibility of speech synthesis with the naturalness of pre-recorded audio: a comparison of two approaches to phrase-splicing TTS. 2585–2588. 2 indexed citations

17.

Eide, Ellen, et al.. (2004). A corpus-based approach to expressive speech synthesis.. SSW. 79–84. 49 indexed citations

18.

Hamza, Wael & Robert J. Donovan. (2002). Data-driven segment preselection in the IBM trainable speech synthesis system. 2609–2612. 12 indexed citations

19.

Ittycheriah, Abraham, Martin Franz, Bhuvana Ramabhadran, et al.. (2001). Current status of the IBM Trainable Speech Synthesis System.. SSW. 207. 20 indexed citations

20.

Hamza, Wael & Mohsen Rashwan. (2000). Concatenative arabic speech synthesis using large speech database. vol. 2, 182–185. 2 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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