Mai Oudah

580 total citations
15 papers, 318 citations indexed

About

Mai Oudah is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Mai Oudah has authored 15 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Management Science and Operations Research. Recurrent topics in Mai Oudah's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Gut microbiota and health (4 papers). Mai Oudah is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Gut microbiota and health (4 papers). Mai Oudah collaborates with scholars based in United Arab Emirates, United States and Qatar. Mai Oudah's co-authors include Khaled Shaalan, Andreas Henschel, Nizar Habash, Salam Khalifa, Alexander Erdmann, Dima Taji, Nasser Zalmout, Bashar Alhafni, Fadhl Eryani and Go Inoue and has published in prestigious journals such as BMC Bioinformatics, Microbiological Research and Sociological Methodology.

In The Last Decade

Mai Oudah

14 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai Oudah United Arab Emirates 7 221 78 19 17 16 15 318
Wim De Smet Belgium 9 205 0.9× 66 0.8× 48 2.5× 14 0.8× 26 1.6× 20 313
Simone Gittelson Switzerland 10 45 0.2× 85 1.1× 15 0.8× 10 0.6× 27 1.7× 18 231
Sam Henry United States 6 241 1.1× 181 2.3× 5 0.3× 6 0.4× 12 0.8× 6 320
Md Shoaib Ahmed Bangladesh 7 107 0.5× 37 0.5× 35 1.8× 24 1.4× 6 0.4× 19 287
Tanjim Taharat Aurpa Bangladesh 8 108 0.5× 35 0.4× 38 2.0× 20 1.2× 6 0.4× 27 299
Roberto Puch‐Solis United Kingdom 10 69 0.3× 147 1.9× 24 1.3× 42 2.5× 39 2.4× 24 416
Kalliopi Zervanou Netherlands 8 163 0.7× 35 0.4× 34 1.8× 16 0.9× 31 209
Rémi Lebret Switzerland 7 205 0.9× 21 0.3× 23 1.2× 64 3.8× 7 0.4× 16 290
Taeuk Kim South Korea 8 214 1.0× 50 0.6× 18 0.9× 54 3.2× 3 0.2× 24 302
Boshi Wang United States 5 87 0.4× 15 0.2× 13 0.7× 16 0.9× 4 0.3× 11 137

Countries citing papers authored by Mai Oudah

Since Specialization
Citations

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

Fields of papers citing papers by Mai Oudah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Oudah

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

All Works

15 of 15 papers shown
1.
2.
Oudah, Mai, et al.. (2024). Machine Learning and Gut Microbiome for Breast Cancer Screening. 1–7. 2 indexed citations
3.
Oudah, Mai, et al.. (2024). Early Screening for Multiple Sclerosis Using Gut Microbiome and Machine Learning. 1–6. 1 indexed citations
4.
Jha, Aashish R., et al.. (2022). Human Gut Microbes Associated with Systolic Blood Pressure. International Journal of Hypertension. 2022. 1–12. 5 indexed citations
5.
Oudah, Mai, et al.. (2022). Microbiome Classification for Heart Disease Detection. 237–242. 3 indexed citations
6.
Habash, Nizar, et al.. (2021). Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity. Sociological Methodology. 52(1). 30–52. 16 indexed citations
7.
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
8.
Oudah, Mai, Amjad Almahairi, & Nizar Habash. (2019). The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation. 214–221. 1 indexed citations
9.
Erdmann, Alexander, Salam Khalifa, Mai Oudah, Nizar Habash, & Houda Bouamor. (2019). A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance. 113–124. 6 indexed citations
10.
Oudah, Mai & Andreas Henschel. (2018). Taxonomy-aware feature engineering for microbiome classification. BMC Bioinformatics. 19(1). 227–227. 63 indexed citations
11.
Oudah, Mai & Khaled Shaalan. (2016). Studying the impact of language-independent and language-specific features on hybrid Arabic Person name recognition. Language Resources and Evaluation. 51(2). 351–378. 3 indexed citations
12.
Oudah, Mai & Khaled Shaalan. (2016). NERA 2.0: Improving coverage and performance of rule-based named entity recognition for Arabic. Natural Language Engineering. 23(3). 441–472. 26 indexed citations
13.
Oudah, Mai, et al.. (2015). Global transcriptome analysis of salt acclimated Prochlorococcus AS9601. Microbiological Research. 176. 21–28. 15 indexed citations
14.
Shaalan, Khaled & Mai Oudah. (2013). A hybrid approach to Arabic named entity recognition. Journal of Information Science. 40(1). 67–87. 51 indexed citations
15.
Oudah, Mai & Khaled Shaalan. (2012). A Pipeline Arabic Named Entity Recognition using a Hybrid Approach. International Conference on Computational Linguistics. 2159–2176. 38 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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