Fahimeh Farahnakian

2.2k citations
50 papers · 1.5k indexed · 1 hit paper · h-index 17
Topics
Cloud Computing and Resource Management (11 papers)IoT and Edge/Fog Computing (10 papers)Advanced Neural Network Applications (9 papers)
Journals
SHILAP Revista de lepidopterologíaRemote SensingOre Geology Reviews
Partner nations
FinlandPakistanIran

In The Last Decade

Fahimeh Farahnakian

47 papers receiving 1.4k citations

Hit Papers

Using Ant Colony System to Consolidate VMs for Green Clou...2014202620182022201450100150200

Peers

Fahimeh Farahnakian
Comparison fields: 5 of 77
  • Computer Networks and Communications 1.2k
  • Information Systems 787
  • Artificial Intelligence 296
  • Electrical and Electronic Engineering 225
  • Computer Vision and Pattern Recognition 136
Replace Azeem Irshad with:
Azeem Irshad Pakistan
Zhen Ling China
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Fahimeh Farahnakian relative to Azeem Irshad Pakistan Azeem Irshad's profile →
Citations per field
00.5×3.4×
Azeem Irshad · 1×
Citations per year

Countries citing papers authored by Fahimeh Farahnakian

Since Specialization
Citations

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

Fields of papers citing papers by Fahimeh Farahnakian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahimeh Farahnakian

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 7
4 3
5 3
6 12
7 21
8 9
9 6
10 99
11 13
12 81
13 14
14
Using Ant Colony System to Consolidate VMs for Green Cloud Computingbreakdown →
249
15 8
16 32
17 137
18 62
19 74
20 1

About Fahimeh Farahnakian

Fahimeh Farahnakian is a scholar working on Computer Networks and Communications, Media Technology and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (787 citations) and Hardware and Architecture (110 citations). Fahimeh Farahnakian has collaborated with scholars based in Finland, Pakistan and Iran. Frequent co-authors include Pasi Liljeberg, Juha Plosila, Jukka Heikkonen, Tapio Pahikkala, Hannu Tenhunen, Adnan Ashraf, Iván Porres, Masoumeh Ebrahimi, Masoud Daneshtalab and Nguyen Trung Hieu. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and Ore Geology Reviews.

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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