Amir M. Rahmani

7.3k citations
231 papers · 4.7k indexed · 3 hit papers · h-index 32

Amir M. Rahmani

215 papers receiving 4.5k citations

Hit Papers

ChatDiet: Empower...432017202620202023250500750

Peers

Amir M. Rahmani
Comparison fields: 5 of 194
  • Computer Networks and Communications 1.4k
  • Health Information Management 192
  • Hardware and Architecture 217
  • Health Informatics 43
  • Computer Vision and Pattern Recognition 607
Replace Amir M. Rahmani with:
Amir M. Rahmani United States
Zhibo Pang Sweden
R. Simon Sherratt United Kingdom
Elias Kougianos United States
Chris Nugent United Kingdom
N. Arunkumar India
Rubén González Crespo Spain
Shwetak Patel United States
Pasi Liljeberg Finland
Raffaele Gravina Italy
Amir M. Rahmani relative to Amir M. Rahmani United States Amir M. Rahmani's profile →
Citations per field
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Amir M. Rahmani · 1×
Citations per year

Countries citing papers authored by Amir M. Rahmani

Since Specialization
Citations

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

Fields of papers citing papers by Amir M. Rahmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir M. Rahmani. 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 Amir M. Rahmani. The network helps show where Amir M. Rahmani may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20244
4 20240
5 20241
6 20245
7
COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler Looking for Clarity in the Haze of the Pandemicbreakdown →
2022107
8 20215
9 20218
10 20218
11 2020100
12 20205
13 20197
14 20193
15 201929
16 201817
17 201812
18
The effect of hydroalcoholic extract of Pistacia vera on pentylenetetrazole-induced kindling in rat
20172
19 201718
20
The relationship between sexual self-esteem and all its components with marital satisfaction in athletic women of Tehran
201312

About Amir M. Rahmani

Amir M. Rahmani is a scholar working on Hardware and Architecture, Computer Networks and Communications and Applied Psychology, having authored 231 papers that have together received 4.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Non-Invasive Vital Sign Monitoring (22 papers), IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (16 papers), Heart Rate Variability and Autonomic Control (11 papers), Embedded Systems Design Techniques (8 papers), Cloud Computing and Resource Management (8 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Health Information Management (192 citations) and Hardware and Architecture (217 citations). Amir M. Rahmani has collaborated with scholars based in United States, Iran and Finland. Frequent co-authors include Pasi Liljeberg, Iman Azimi, Arman Anzanpour, Nikil Dutt, Tuan Nguyen Gia, Mingzhe Jiang, Behailu Negash, Anna Axelin, Hannu Tenhunen and Hannakaisa Niela‐Vilén.

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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