Shervin Malmasi

4.6k total citations · 2 hit papers
82 papers, 2.6k citations indexed

About

Shervin Malmasi is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Shervin Malmasi has authored 82 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Shervin Malmasi's work include Natural Language Processing Techniques (51 papers), Topic Modeling (30 papers) and Authorship Attribution and Profiling (26 papers). Shervin Malmasi is often cited by papers focused on Natural Language Processing Techniques (51 papers), Topic Modeling (30 papers) and Authorship Attribution and Profiling (26 papers). Shervin Malmasi collaborates with scholars based in United States, Australia and Germany. Shervin Malmasi's co-authors include Marcos Zampieri, Ritesh Kumar, Mark Dras, Preslav Nakov, Atul Kr. Ojha, Sara Rosenthal, Noura Farra, Oleg Rokhlenko, Anjie Fang and Besnik Fetahu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Obesity and Diabetic Medicine.

In The Last Decade

Shervin Malmasi

75 papers receiving 2.3k citations

Hit Papers

SemEval-2019 Task 6: Iden... 2019 2026 2021 2023 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shervin Malmasi United States 25 2.4k 299 226 200 143 82 2.6k
Marcos Zampieri United States 26 2.8k 1.2× 363 1.2× 306 1.4× 246 1.2× 130 0.9× 112 3.0k
Kareem Darwish Qatar 27 2.1k 0.9× 509 1.7× 201 0.9× 77 0.4× 187 1.3× 88 2.4k
Björn Gambäck Norway 18 1.3k 0.6× 250 0.8× 118 0.5× 160 0.8× 61 0.4× 91 1.5k
Monojit Choudhury India 22 1.3k 0.5× 195 0.7× 90 0.4× 42 0.2× 147 1.0× 130 1.6k
Manuel Montes-y-Gómez Mexico 22 1.3k 0.5× 450 1.5× 78 0.3× 358 1.8× 199 1.4× 126 1.7k
Luís Alfonso Ureña López Spain 24 1.9k 0.8× 480 1.6× 95 0.4× 137 0.7× 101 0.7× 153 2.2k
Sara Rosenthal United States 16 2.3k 1.0× 428 1.4× 220 1.0× 215 1.1× 56 0.4× 34 2.5k
John P. McCrae Ireland 23 1.3k 0.5× 211 0.7× 82 0.4× 50 0.3× 73 0.5× 135 1.5k
Hamdy Mubarak Qatar 21 1.8k 0.7× 439 1.5× 127 0.6× 107 0.5× 107 0.7× 66 1.9k
Jörg Tiedemann Sweden 32 3.9k 1.6× 206 0.7× 45 0.2× 37 0.2× 622 4.3× 176 4.2k

Countries citing papers authored by Shervin Malmasi

Since Specialization
Citations

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

Fields of papers citing papers by Shervin Malmasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shervin Malmasi

This figure shows the co-authorship network connecting the top 25 collaborators of Shervin Malmasi. A scholar is included among the top collaborators of Shervin Malmasi 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 Shervin Malmasi. Shervin Malmasi 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
2.
3.
Chen, Zhiyu, et al.. (2024). Identifying High Consideration E-Commerce Search Queries. 563–572.
4.
Chang, Lee‐Shing, et al.. (2023). Assessment of Sex Disparities in Nonacceptance of Statin Therapy and Low-Density Lipoprotein Cholesterol Levels Among Patients at High Cardiovascular Risk. JAMA Network Open. 6(2). e231047–e231047. 24 indexed citations
5.
Fetahu, Besnik, Zhiyu Chen, Oleg Rokhlenko, & Shervin Malmasi. (2023). InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. 663–674. 1 indexed citations
6.
Fetahu, Besnik, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, & Shervin Malmasi. (2023). SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). 2247–2265. 34 indexed citations
7.
King, Tracy Holloway, et al.. (2023). eCom'23: The SIGIR 2023 Workshop on eCommerce. 3476–3478. 2 indexed citations
8.
Fetahu, Besnik, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, & Shervin Malmasi. (2023). MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. 2027–2051. 32 indexed citations
9.
Fang, Anjie, et al.. (2022). CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. 11875–11886. 1 indexed citations
10.
Meng, Tao, Anjie Fang, Oleg Rokhlenko, & Shervin Malmasi. (2021). GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. 1499–1512. 56 indexed citations
11.
Chang, Lee‐Shing, Shervin Malmasi, Huabing Zhang, et al.. (2021). Patient‐provider discussions of bariatric surgery and subsequent weight changes and receipt of bariatric surgery. Obesity. 29(8). 1338–1346. 6 indexed citations
12.
Wu, Jianmin, Fritha Morrison, Zhenxiang Zhao, et al.. (2021). Reasons for discontinuing insulin and factors associated with insulin discontinuation in patients with type 2 diabetes mellitus: a real-world evidence study. SHILAP Revista de lepidopterología. 7(1). 1–1. 7 indexed citations
13.
Malmasi, Shervin, et al.. (2019). Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients. Journal of Biomedical Informatics. 99. 103306–103306. 10 indexed citations
14.
Barrault, Loïc, Ondřej Bojar, Marta R. Costa‐jussà, et al.. (2019). Findings of the 2019 Conference on Machine Translation (WMT19). 1–61. 256 indexed citations breakdown →
15.
Kumar, Ritesh, Atul Kr. Ojha, Shervin Malmasi, & Marcos Zampieri. (2018). Benchmarking Aggression Identification in Social Media.. International Conference on Computational Linguistics. 1–11. 224 indexed citations
16.
Zampieri, Marcos, Shervin Malmasi, Nikola Ljubešić, et al.. (2017). Findings of the VarDial Evaluation Campaign 2017. Zurich Open Repository and Archive (University of Zurich). 1–15. 100 indexed citations
17.
Malmasi, Shervin, Dmitriy Timerman, Victor Lei, et al.. (2017). Decline of insulin therapy and delays in insulin initiation in people with uncontrolled diabetes mellitus. Diabetic Medicine. 34(11). 1599–1602. 35 indexed citations
18.
Malmasi, Shervin, Marcos Zampieri, Nikola Ljubešić, et al.. (2016). Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task. International Conference on Computational Linguistics. 1–14. 118 indexed citations
19.
Malmasi, Shervin & Marcos Zampieri. (2016). Arabic Dialect Identification in Speech Transcripts.. International Conference on Computational Linguistics. 106–113. 25 indexed citations
20.
Malmasi, Shervin. (2016). Subdialectal Differences in Sorani Kurdish. International Conference on Computational Linguistics. 89–96. 7 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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