Iman Azimi

62 papers receiving 2.8k citations

Iman Azimi's Hit Papers

ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework 2024 · 52 citations
520+3+6Years since publication250500750

Peers

Iman Azimi
Comparison fields: 5 of 132
  • Computer Networks and Communications 1.3k
  • Health Information Management 179
  • Health Informatics 51
  • Computer Vision and Pattern Recognition 619
  • Information Systems 558
Replace Amir M. Rahmani with:
Amir M. Rahmani United States
Kunal Mankodiya United States
Nuno M. García Portugal
Raffaele Gravina Italy
Sheikh Iqbal Ahamed United States
Mingzhe Jiang Finland
Syed Umar Amin Saudi Arabia
Hassan Ghasemzadeh United States
Md. Zia Uddin Norway
Arman Anzanpour Finland
Iman Azimi relative to Amir M. Rahmani United States Amir M. Rahmani's profile →
Citations per field
00.5×1.7×
Amir M. Rahmani · 1×
Citations per year

Countries citing papers authored by Iman Azimi

Since Specialization
Citations

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

Fields of papers citing papers by Iman Azimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach
Hit paper breakdown →
2017932
2 2016168
3 2017142
4 2020113
5 2017103
6 202195
7
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Hit paper breakdown →
202494
8 201785
9 201974
10 201874
11 201973
12 201967
13 201760
14 202158
15
ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework
Hit paper breakdown →
202452
16 202248
17 201645
18 202138
19 202235
20 201933

About Iman Azimi

Iman Azimi is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Computer Vision and Pattern Recognition and Surgery, having authored 68 papers that have together received 2.9k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (25 papers), IoT and Edge/Fog Computing (15 papers), Heart Rate Variability and Autonomic Control (15 papers), Context-Aware Activity Recognition Systems (13 papers), Healthcare Technology and Patient Monitoring (7 papers), Hemodynamic Monitoring and Therapy (6 papers), Digital Mental Health Interventions (6 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Health Information Management (179 citations), Health Informatics (51 citations), Computer Vision and Pattern Recognition (619 citations) and Information Systems (558 citations). Iman Azimi has collaborated with scholars based in United States, Finland and Austria. Frequent co-authors include Pasi Liljeberg, Amir M. Rahmani, Arman Anzanpour, Tuan Nguyen Gia, Mingzhe Jiang, Behailu Negash, Amir M. Rahmani, Nikil Dutt, Anna Axelin and Hannakaisa Niela‐Vilén. Their work appears in journals such as PLoS ONE, JMIR mhealth and uhealth, Sensors, Future Generation Computer Systems and BMC Pregnancy and Childbirth.

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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