Ramy Eskander

1.5k citations
30 papers · 1.0k · 1 hit paper · h-index 14

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Language, Linguistics, Cultural Analysis

Papers in

Journals
Language Resources and Evaluation (6 papers)Columbia Academic Commons (Columbia University) (1 paper)International Conference on Computational Linguistics (2 papers)North American Chapter of the Association for Computational Linguistics (2 papers)Edinburgh Research Explorer (University of Edinburgh) (1 paper)

In The Last Decade

Ramy Eskander

28 papers receiving 902 citations

Hit Papers

MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic 2014 · 414 citations
4140+4+8Years since publication100200300400

Peers

Ramy Eskander
Comparison fields: 5 of 44
  • Artificial Intelligence 970
  • Language and Linguistics 142
  • Computer Vision and Pattern Recognition 110
  • Information Systems 95
  • Human-Computer Interaction 20
Replace Mohamed Al-Badrashiny with:
Mohamed Al-Badrashiny United States
Martin Volk Switzerland
Natalia Silveira United States
Francis Bond Singapore
Reut Tsarfaty Israel
Beáta Megyesi Sweden
Francis M. Tyers United States
Hans van Halteren Netherlands
Erwin Marsi Netherlands
Philip Edmonds Canada
Ramy Eskander relative to Mohamed Al-Badrashiny United States Mohamed Al-Badrashiny's profile →
Citations per field
00.5×1.5×2.3×
Mohamed Al-Badrashiny · 1×
Citations per year

Countries citing papers authored by Ramy Eskander

Since Specialization
Citations

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

Fields of papers citing papers by Ramy Eskander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramy Eskander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramy Eskander Line = papers co-authored together Ramy Eskander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic
Hit paper breakdown →
2014414
2
Morphological Analysis and Disambiguation for Dialectal Arabic
201391
3
A Morphological Analyzer for Egyptian Arabic
201281
4 201449
5 201538
6
Developing an Egyptian Arabic Treebank: Impact of Dialectal Morphology on Annotation and Tool Development
201437
7
Unified guidelines and resources for Arabic dialect orthography
201833
8
Processing Spontaneous Orthography
201332
9 201432
10 201432
11 202225
12 201324
13
Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon
201420
14
MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation
202013
15 202012
16
Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages
201612
17 201412
18
Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine
201611
19 20199
20
Automatic Correction and Extension of Morphological Annotations
20138

About Ramy Eskander

Ramy Eskander is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Information Systems and Cultural Studies, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Topic Modeling (26 papers), Speech and dialogue systems (7 papers), Text Readability and Simplification (5 papers), Handwritten Text Recognition Techniques (4 papers), Language, Linguistics, Cultural Analysis (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Artificial Intelligence (970 citations), Language and Linguistics (142 citations), Computer Vision and Pattern Recognition (110 citations), Information Systems (95 citations) and Human-Computer Interaction (20 citations). Ramy Eskander has collaborated with scholars based in United States, United Arab Emirates and South Sudan. Frequent co-authors include Nizar Habash, Owen Rambow, Mohamed Al-Badrashiny, Ryan M. Roth, Mona Diab, Ahmed El Kholy, Manoj Pooleery, Abdelati Hawwari, Nadi Tomeh and Smaranda Muresan. Their work appears in journals such as Language Resources and Evaluation, Columbia Academic Commons (Columbia University), International Conference on Computational Linguistics, North American Chapter of the Association for Computational Linguistics and Edinburgh Research Explorer (University of Edinburgh).

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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