Fahimeh Farahnakian

2.2k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

Fahimeh Farahnakian is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fahimeh Farahnakian has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fahimeh Farahnakian's work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (10 papers) and Advanced Neural Network Applications (9 papers). Fahimeh Farahnakian is often cited by papers focused on Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (10 papers) and Advanced Neural Network Applications (9 papers). Fahimeh Farahnakian collaborates with scholars based in Finland, Pakistan and Iran. Fahimeh Farahnakian's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Ore Geology Reviews.

In The Last Decade

Fahimeh Farahnakian

47 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Using Ant Colony System to Consolidate VMs for Green Cloud Computing

2014 249 citations Fahimeh Farahnakian, Adnan Ashraf et al. IEEE Transactions on Services Computing profile →

Peers

Fahimeh Farahnakian

CNC

IS

AI

EEE

CVPR

Zhen Ling China

Azeem Irshad Pakistan

Syed Bilal Hussain Shah China

Raman Singh India

Sachin Tripathi India

Hiroshi Esaki Japan

Leyli Mohammad Khanli Iran

Yijie Wang China

Nuno Pereira Portugal

Zhen Ling China

Fahimeh Farahnakian

761 ×0.7

CNC

453 ×0.6

IS

778 ×2.6

AI

169 ×0.8

EEE

287 ×2.1

CVPR

Citations per year, relative to Fahimeh Farahnakian Fahimeh Farahnakian (= 1×) peers Zhen Ling

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

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20 of 20 papers shown

1.

Virjonen, Petra, et al.. (2025). Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks. Multimedia Tools and Applications. 84(28). 34573–34591. 1 indexed citations

2.

Farahnakian, Fahimeh, Maarit Middleton, Sakari Tuominen, et al.. (2025). Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecological Informatics. 90. 103233–103233.

3.

Farahnakian, Fahimeh, et al.. (2024). Addressing imbalanced data for machine learning based mineral prospectivity mapping. Ore Geology Reviews. 174. 106270–106270. 7 indexed citations

4.

Farahnakian, Fahimeh, et al.. (2023). CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. 1–7. 3 indexed citations

5.

Farahnakian, Fahimeh, et al.. (2023). Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi. 20–26. 3 indexed citations

6.

Farahnakian, Fahimeh, et al.. (2023). A comparative study of state-of-the-art deep learning architectures for rice grain classification. Journal of Agriculture and Food Research. 15. 100890–100890. 12 indexed citations

7.

Farahnakian, Fahimeh, et al.. (2023). A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. Remote Sensing. 15(6). 1477–1477. 21 indexed citations

8.

Virjonen, Petra, et al.. (2021). Pose Estimation of Hurdles Athletes using OpenPose. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6. 9 indexed citations

9.

Farahnakian, Fahimeh, Jukka Heikkonen, & Stefan Björkman. (2021). Multi-pig Pose Estimation Using DeepLabCut. 143–148. 6 indexed citations

10.

Farahnakian, Fahimeh & Jukka Heikkonen. (2018). A deep auto-encoder based approach for intrusion detection system. 2018 20th International Conference on Advanced Communication Technology (ICACT). 1–1. 99 indexed citations

11.

Farahnakian, Fahimeh, Rami Bahsoon, Pasi Liljeberg, & Tapio Pahikkala. (2016). Self-Adaptive Resource Management System in IaaS Clouds. University of Birmingham Research Portal (University of Birmingham). 553–560. 13 indexed citations

12.

Farahnakian, Fahimeh, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, & Hannu Tenhunen. (2015). Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. 381–388. 81 indexed citations

13.

Farahnakian, Fahimeh, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, & Hannu Tenhunen. (2014). Hierarchical VM Management Architecture for Cloud Data Centers. 306–311. 14 indexed citations

14.

Farahnakian, Fahimeh, Adnan Ashraf, Tapio Pahikkala, et al.. (2014). Using Ant Colony System to Consolidate VMs for Green Cloud Computing. IEEE Transactions on Services Computing. 8(2). 187–198. 249 indexed citations breakdown →

15.

Farahnakian, Fahimeh, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, & Juha Plosila. (2014). Adaptive load balancing in learning-based approaches for many-core embedded systems. The Journal of Supercomputing. 68(3). 1214–1234. 8 indexed citations

16.

Farahnakian, Fahimeh, Adnan Ashraf, Pasi Liljeberg, et al.. (2014). Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. Åbo Akademi University Research Portal. 104–111. 32 indexed citations

17.

Farahnakian, Fahimeh, Pasi Liljeberg, & Juha Plosila. (2013). LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers. 357–364. 137 indexed citations

18.

Farahnakian, Fahimeh, Tapio Pahikkala, Pasi Liljeberg, & Juha Plosila. (2013). Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. 62 indexed citations

19.

Ebrahimi, Masoumeh, Masoud Daneshtalab, Fahimeh Farahnakian, et al.. (2012). HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks. 19–26. 74 indexed citations

20.

Farahnakian, Fahimeh & Nasser Mozayani. (2008). Learning through Decision Tree in Simulated Soccer Environment. 18. 68–70. 1 indexed citations

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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