Elahe Khatibi

11 papers receiving 236 citations

Elahe Khatibi's Hit Papers

ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework 2024 · 50 citations
500+1Years since publication1020304050

Peers

Elahe Khatibi
Comparison fields: 5 of 85
  • Health Informatics 31
  • Health Information Management 11
  • Applied Psychology 11
  • Nuclear Energy and Engineering 1
  • Artificial Intelligence 51
Replace Xingmei Wang with:
Xingmei Wang China
Mattia De Rosa Italy
Mengjuan Liu China
Gyeong-Geon Lee South Korea
Yiren Liu China
Duc Tri Phan South Korea
Sarah Grundy Australia
Davinder Pal Sharma India
Parisa Yousefi Iran
Elahe Khatibi relative to Xingmei Wang China Xingmei Wang's profile →
Citations per field
00.5×3.7×
Xingmei Wang · 1×
Citations per year

Countries citing papers authored by Elahe Khatibi

Since Specialization
Citations

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

Fields of papers citing papers by Elahe Khatibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elahe Khatibi, 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 Elahe Khatibi Line = papers co-authored together Elahe Khatibi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202490
2 200962
3
ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework
Hit paper breakdown →
202450
4 20208
5 20127
6 20247
7 20247
8 20194
9 20193
10 20233
11 20081
12 20240
13 20250
14 20250
15 20250
16 20230

About Elahe Khatibi

Elahe Khatibi is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Information Systems, Artificial Intelligence and Health Information Management, having authored 16 papers that have together received 242 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers), Artificial Intelligence in Healthcare (2 papers), Cloud Computing and Resource Management (2 papers), ECG Monitoring and Analysis (2 papers), COVID-19 epidemiological studies (1 paper), Data Visualization and Analytics (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Health Informatics (31 citations), Health Information Management (11 citations), Applied Psychology (11 citations), Nuclear Energy and Engineering (1 citation) and Artificial Intelligence (51 citations). Elahe Khatibi has collaborated with scholars based in United States, Iran and Finland. Frequent co-authors include Iman Azimi, Hossein Sarpoolaky, Mahyar Abbasian, Zhongqi Yang, Ramesh Jain, Amir M. Rahmani, Amir M. Rahmani, Mohsen Sharifi, David Oniani and Alexander Thieme. Their work appears in journals such as npj Digital Medicine, Journal of the Taiwan Institute of Chemical Engineers, Peer-to-Peer Networking and Applications, Smart Health and The Journal of Supercomputing.

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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