Manar Alkhatib

499 citations
27 papers · 232 · h-index 8

Impact in

    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies

Papers in

Manar Alkhatib

23 papers receiving 221 citations

Peers

Manar Alkhatib
Comparison fields: 5 of 65
  • Artificial Intelligence 125
  • Communication 23
  • Transportation 22
  • Health Informatics 4
  • General Social Sciences 8
Replace Omar Alqaryouti with:
Omar Alqaryouti United Arab Emirates
Stefan Gindl Austria
Mikalai Tsytsarau Italy
Haishen Yao China
Humberto T. Marques-Neto Brazil
Kostadin Mishev North Macedonia
Reyyan Yeniterzi Türkiye
Dmytro Karamshuk United Kingdom
Despoina Antonakaki Greece
Cristina Ioana Muntean Italy
Manar Alkhatib relative to Omar Alqaryouti United Arab Emirates Omar Alqaryouti's profile →
Citations per field
00.5×1.5×2.3×
Omar Alqaryouti · 1×
Citations per year

Countries citing papers authored by Manar Alkhatib

Since Specialization
Citations

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

Fields of papers citing papers by Manar Alkhatib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Manar Alkhatib, 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 Manar Alkhatib Line = papers co-authored together Manar Alkhatib links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 201952
3 201726
4 202023
5 202218
6 202016
7 202112
8 20187
9
Boosting Arabic Named Entity Recognition Transliteration with Deep Learning.
20204
10 20224
11 20232
12 20232
13 20202
14 20231
15 20241
16 20241
17 20241
18 20241
19 20241
20 20221

About Manar Alkhatib

Manar Alkhatib is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Transportation, Media Technology and Computer Science Applications, having authored 27 papers that have together received 232 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (6 papers), AI in Service Interactions (5 papers), Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Smart Cities and Technologies (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Communication (23 citations), Transportation (22 citations), Health Informatics (4 citations) and General Social Sciences (8 citations). Manar Alkhatib has collaborated with scholars based in United Arab Emirates, Iran and Egypt. Frequent co-authors include Khaled Shaalan, May El Barachi, Farhad Oroumchian, Sujith Samuel Mathew, Azza Abdel Monem and Abolfazl AleAhmad. Their work appears in journals such as Journal of Cleaner Production, Human Behavior and Emerging Technologies, International Journal of Human-Computer Interaction, ACM Transactions on Asian and Low-Resource Language Information Processing and Journal of Communications Software and Systems.

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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