Nasser Zalmout

732 total citations
24 papers, 423 citations indexed

About

Nasser Zalmout is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Nasser Zalmout has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Nasser Zalmout's work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (5 papers). Nasser Zalmout is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (5 papers). Nasser Zalmout collaborates with scholars based in United Arab Emirates, United States and Palestinian Territory. Nasser Zalmout's co-authors include Nizar Habash, Alexander Erdmann, Mustafa Jarrar, Salam Khalifa, Dima Taji, Fadhl Eryani, Ossama Obeid, Bashar Alhafni, Mai Oudah and Go Inoue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and International Conference on Computational Linguistics.

In The Last Decade

Nasser Zalmout

24 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nasser Zalmout United Arab Emirates	12	398	65	51	32	16	24	423
Younes Samih Germany	15	384 1.0×	27 0.4×	35 0.7×	44 1.4×	14 0.9×	34	407
Fatiha Sadat Canada	13	634 1.6×	57 0.9×	65 1.3×	88 2.8×	12 0.8×	65	661
Żeljko Agić Croatia	14	600 1.5×	62 1.0×	65 1.3×	22 0.7×	4 0.3×	48	634
Mohammed Attia United States	13	426 1.1×	45 0.7×	53 1.0×	44 1.4×	11 0.7×	37	468
Mihael Arčan Ireland	12	415 1.0×	37 0.6×	50 1.0×	52 1.6×	25 1.6×	52	434
Salam Khalifa United States	11	397 1.0×	63 1.0×	40 0.8×	21 0.7×	18 1.1×	22	416
Ann Irvine United States	14	406 1.0×	26 0.4×	72 1.4×	32 1.0×	9 0.6×	23	454
Ossama Obeid United States	10	424 1.1×	50 0.8×	29 0.6×	29 0.9×	18 1.1×	19	440
Houda Bouamor Qatar	14	677 1.7×	86 1.3×	34 0.7×	33 1.0×	14 0.9×	53	711
Svetoslav Marinov Sweden	4	616 1.5×	33 0.5×	31 0.6×	59 1.8×	6 0.4×	10	638

Countries citing papers authored by Nasser Zalmout

Since Specialization

Citations

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

Fields of papers citing papers by Nasser Zalmout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasser Zalmout

This figure shows the co-authorship network connecting the top 25 collaborators of Nasser Zalmout. A scholar is included among the top collaborators of Nasser Zalmout 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 Nasser Zalmout. Nasser Zalmout 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

Cui, Hejie, Nasser Zalmout, Chenwei Zhang, et al.. (2023). PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. 2 indexed citations

Zalmout, Nasser, et al.. (2023). Generative Models for Product Attribute Extraction. 4 indexed citations

Liang, Yan, et al.. (2022). Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction. 110–110. 3 indexed citations

Zalmout, Nasser & Xian Li. (2022). Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction. 467–474. 2 indexed citations

Yan, Jun, et al.. (2021). AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. 4694–4705. 21 indexed citations

Zalmout, Nasser, et al.. (2021). All You Need to Know to Build a Product Knowledge Graph. 4090–4091. 8 indexed citations

Obeid, Ossama, Nasser Zalmout, Salam Khalifa, et al.. (2020). CAMeL tools: An open source python toolkit for arabic natural language processing. Language Resources and Evaluation. 7022–7032. 88 indexed citations

Khalifa, Salam, Nasser Zalmout, & Nizar Habash. (2020). Morphological analysis and disambiguation for Gulf Arabic: The interplay between resources and methods. Language Resources and Evaluation. 3895–3904. 7 indexed citations

Zalmout, Nasser & Nizar Habash. (2019). Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling. 1775–1786. 10 indexed citations

10.

Zalmout, Nasser, Kapil Thadani, & Aasish Pappu. (2019). Unsupervised Neologism Normalization Using Embedding Space Mapping. 425–430. 7 indexed citations

11.

Zalmout, Nasser, et al.. (2018). Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. 837–843. 18 indexed citations

12.

Zalmout, Nasser, Alexander Erdmann, & Nizar Habash. (2018). Noise-Robust Morphological Disambiguation for Dialectal Arabic. 953–964. 16 indexed citations

13.

Zalmout, Nasser & Nizar Habash. (2017). Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages. SHILAP Revista de lepidopterología. 108(1). 257–269. 14 indexed citations

14.

Habash, Nizar, et al.. (2017). A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages. 235–241. 12 indexed citations

15.

Zalmout, Nasser & Nizar Habash. (2017). Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic. 704–713. 34 indexed citations

16.

Khalifa, Salam, Nasser Zalmout, & Nizar Habash. (2016). YAMAMA: Yet another multi-dialect Arabic morphological analyzer. International Conference on Computational Linguistics. 223–227. 20 indexed citations

17.

Zalmout, Nasser, et al.. (2016). Analysis of Foreign Language Teaching Methods: An Automatic Readability Approach. International Conference on Computational Linguistics. 122–130. 6 indexed citations

18.

Jarrar, Mustafa, et al.. (2016). Curras: an annotated corpus for the Palestinian Arabic dialect. Language Resources and Evaluation. 51(3). 745–775. 54 indexed citations

19.

Jarrar, Mustafa, et al.. (2014). Building a Corpus for Palestinian Arabic: a Preliminary Study. 18–27. 39 indexed citations

20.

Zalmout, Nasser & Moustafa Ghanem. (2013). Multidimensional community detection in Twitter. 83–88. 5 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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