Behrang Mohit

904 total citations
28 papers, 387 citations indexed

About

Behrang Mohit is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Behrang Mohit has authored 28 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Communication. Recurrent topics in Behrang Mohit's work include Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers) and Text Readability and Simplification (11 papers). Behrang Mohit is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers) and Text Readability and Simplification (11 papers). Behrang Mohit collaborates with scholars based in United States, Qatar and Jordan. Behrang Mohit's co-authors include Kemal Oflazer, Wajdi Zaghouani, Nizar Habash, Alla Rozovskaya, Ossama Obeid, Houda Bouamor, Vibhu O. Mittal, Mark Kantrowitz, Rebecca Hwa and Srini Narayanan and has published in prestigious journals such as Language Resources and Evaluation, Figshare and International Joint Conference on Natural Language Processing.

In The Last Decade

Behrang Mohit

25 papers receiving 355 citations

Peers

Behrang Mohit

AI

IS

CVPR

LL

MB

Diganta Saha India

Miquel Esplà-Gomis Spain

Nadi Tomeh France

Milen Kouylekov Italy

Kepa Sarasola Spain

Karolina Owczarzak United States

Alok Ranjan Pal India

Wilker Aziz United Kingdom

Roman Grundkiewicz United Kingdom

Diganta Saha India

Behrang Mohit

307 ×0.8

AI

28 ×0.8

IS

21 ×0.6

CVPR

17 ×0.6

LL

18 ×1.8

MB

Citations per year, relative to Behrang Mohit Behrang Mohit (= 1×) peers Diganta Saha

Countries citing papers authored by Behrang Mohit

Since Specialization

Citations

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

Fields of papers citing papers by Behrang Mohit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrang Mohit

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mohit, Behrang, et al.. (2018). Transforming Standard Arabic to Colloquial Arabic. Figshare. 176–180. 5 indexed citations

2.

Mohit, Behrang, et al.. (2018). Recall-Oriented Learning of Named Entities in Arabic Wikipedia. Figshare. 162–173. 30 indexed citations

3.

Bouamor, Houda, et al.. (2018). Dudley North visits North London: Learning When to Transliterate to Arabic. Figshare. 439–444. 2 indexed citations

4.

Schneider, Nathan, Behrang Mohit, Chris Dyer, Kemal Oflazer, & Noah A. Smith. (2018). Supersense Tagging for Arabic: the MT-in-the-Middle Attack. Figshare. 661–667.

5.

Schneider, Nathan, Behrang Mohit, Kemal Oflazer, & Noah A. Smith. (2018). Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study. Figshare. 253–258. 5 indexed citations

6.

Mohit, Behrang, Rebecca Hwa, & Alon Lavie. (2018). Using Variable Decoding Weight for Language Model in Statistical Machine Translation. Figshare.

7.

Zaghouani, Wajdi, Behrang Mohit, Nizar Habash, et al.. (2018). Large Scale Arabic Error Annotation: Guidelines and Framework. Figshare. 2362–2369. 32 indexed citations

8.

Obeid, Ossama, Wajdi Zaghouani, Behrang Mohit, et al.. (2018). A Web-based Annotation Framework for Large-scale Text Correction. Figshare. 1–4. 3 indexed citations

9.

Zaghouani, Wajdi, Nizar Habash, Ossama Obeid, et al.. (2016). Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation. Language Resources and Evaluation. 1869–1876. 14 indexed citations

10.

Rozovskaya, Alla, Houda Bouamor, Nizar Habash, et al.. (2015). The Second QALB Shared Task on Automatic Text Correction for Arabic. 26–35. 39 indexed citations

11.

Bouamor, Houda, et al.. (2014). YouDACC: the Youtube Dialectal Arabic Comment Corpus. Language Resources and Evaluation. 1246–1251. 12 indexed citations

12.

Bouamor, Houda, et al.. (2014). A Human Judgement Corpus and a Metric for Arabic MT Evaluation. 207–213. 11 indexed citations

13.

Bouamor, Houda, et al.. (2014). CMUQ$@$Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter. 186–191. 3 indexed citations

14.

Bouamor, Houda, Behrang Mohit, & Kemal Oflazer. (2013). SuMT: A Framework of Summarization and MT. International Joint Conference on Natural Language Processing. 270–278. 1 indexed citations

15.

Mohit, Behrang, et al.. (2012). Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. 1 indexed citations

16.

Mohit, Behrang, et al.. (2012). Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic. Language Resources and Evaluation. 873–877. 17 indexed citations

17.

Mohit, Behrang, et al.. (2009). Language Model Adaptation for Difficult to Translate Phrases. 5 indexed citations

18.

Mohit, Behrang & Rebecca Hwa. (2007). Localization of difficult-to-translate phrases. 248–255. 17 indexed citations

19.

Riesa, Jason, Behrang Mohit, Kevin Knight, & Daniel Marcu. (2006). Building an English-iraqi Arabic machine translation system for spoken utterances with limited resources. paper 2012–Tue1A1O.1. 16 indexed citations

20.

Kantrowitz, Mark, Behrang Mohit, & Vibhu O. Mittal. (2000). Stemming and its effects on TFIDF ranking.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 357–359. 22 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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