Vafa Maihami

590 total citations · 1 hit paper
18 papers, 310 citations indexed

About

Vafa Maihami is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vafa Maihami has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Vafa Maihami's work include Energy Efficient Wireless Sensor Networks (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Vafa Maihami is often cited by papers focused on Energy Efficient Wireless Sensor Networks (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Vafa Maihami collaborates with scholars based in Iran, United States and United Kingdom. Vafa Maihami's co-authors include Keyhan Khamforoosh, Farzin Yaghmaee, Mohammad Fathi, Sadoon Azizi, Reza Maihami, Parham Moradi and Mohammad Akbarpour and has published in prestigious journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications and Artificial Intelligence Review.

In The Last Decade

Vafa Maihami

15 papers receiving 306 citations

Hit Papers

A Review on Kalman Filter Models 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. A Review on Kalman Filter Models
    2022 217 citations Vafa Maihami et al. Archives of Computational Methods in Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vafa Maihami Iran 7 71 68 62 56 56 18 310
Juelong Li China 13 89 1.3× 91 1.3× 60 1.0× 96 1.7× 63 1.1× 36 391
Qian Gao China 11 61 0.9× 78 1.1× 70 1.1× 40 0.7× 23 0.4× 50 335
Youxiang Duan China 12 61 0.9× 84 1.2× 84 1.4× 158 2.8× 66 1.2× 25 384
Junhong Xu United States 9 62 0.9× 100 1.5× 46 0.7× 53 0.9× 81 1.4× 26 306
Zenglong Peng China 4 86 1.2× 34 0.5× 95 1.5× 32 0.6× 63 1.1× 13 309
Ke Zhao China 10 114 1.6× 66 1.0× 73 1.2× 25 0.4× 31 0.6× 40 354
M. F. Ahmad Malaysia 5 68 1.0× 76 1.1× 155 2.5× 24 0.4× 35 0.6× 8 376
Junguo Cui China 8 93 1.3× 60 0.9× 81 1.3× 38 0.7× 157 2.8× 26 356
Quanbo Ge China 13 101 1.4× 160 2.4× 146 2.4× 40 0.7× 80 1.4× 60 424
An Xu China 14 45 0.6× 61 0.9× 223 3.6× 57 1.0× 84 1.5× 36 522

Countries citing papers authored by Vafa Maihami

Since Specialization
Citations

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

Fields of papers citing papers by Vafa Maihami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vafa Maihami

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

All Works

18 of 18 papers shown
1.
Khamforoosh, Keyhan, et al.. (2025). Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering. PLoS ONE. 20(3). e0317131–e0317131.
2.
Khamforoosh, Keyhan, et al.. (2022). Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter. PLoS ONE. 17(2). e0263418–e0263418. 10 indexed citations
3.
Maihami, Vafa, et al.. (2022). A Review on Kalman Filter Models. Archives of Computational Methods in Engineering. 30(1). 727–747. 217 indexed citations breakdown →
4.
Khamforoosh, Keyhan, et al.. (2022). IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment. Sustainable Computing Informatics and Systems. 37. 100834–100834. 22 indexed citations
5.
Maihami, Vafa, et al.. (2021). A machine learning recommender system based on collaborative filtering using Gaussian mixture model clustering. Mathematical Methods in the Applied Sciences. 49(5). 3589–3602. 5 indexed citations
6.
Akbarpour, Mohammad, Keyhan Khamforoosh, & Vafa Maihami. (2020). An approach to Improve Particle Swarm Optimization Algorithm Using CUDA. 8(2). 2–21.
7.
Maihami, Vafa, et al.. (2020). Recognition of Persian Sign Language Alphabet Using Gaussian Distribution, Radial Distance and Centroid-Radii. Recent Advances in Computer Science and Communications. 14(7). 2171–2182.
8.
Maihami, Vafa, et al.. (2019). Proposing a novel method for improving the performance of collaborative filtering systems regarding the priority of similar users. Physica A Statistical Mechanics and its Applications. 536. 121021–121021. 11 indexed citations
9.
Maihami, Vafa & Farzin Yaghmaee. (2018). Automatic image annotation using community detection in neighbor images. Physica A Statistical Mechanics and its Applications. 507. 123–132. 11 indexed citations
10.
Maihami, Vafa & Farzin Yaghmaee. (2017). A genetic-based prototyping for automatic image annotation. Computers & Electrical Engineering. 70. 400–412. 5 indexed citations
11.
Maihami, Vafa, et al.. (2016). A Novel Fuzzy Expert System Design for Predicting Heart Diseases. International Journal of Computer Applications. 138(4). 33–38. 2 indexed citations
12.
Maihami, Vafa, et al.. (2016). A Review of Methods of Instance-based Automatic Image Annotation. International Journal of Intelligent Systems and Applications. 8(12). 26–36. 1 indexed citations
13.
Maihami, Vafa & Farzin Yaghmaee. (2016). A review on the application of structured sparse representation at image annotation. Artificial Intelligence Review. 48(3). 331–348. 4 indexed citations
14.
Maihami, Vafa, et al.. (2016). DESIGNING AN EXPERT SYSTEM FOR PREDICTION OF HEART ATTACK USING FUZZY SYSTEMS. 21(4). 118–131. 2 indexed citations
15.
Khamforoosh, Keyhan, et al.. (2015). Data Fusion in Wireless Sensor Networks using Fuzzy Systems. International Journal of Computer Applications. 125(12). 31–36. 4 indexed citations
16.
Fathi, Mohammad & Vafa Maihami. (2014). Operational State Scheduling of Relay Nodes in Two-Tiered Wireless Sensor Networks. IEEE Systems Journal. 9(3). 686–693. 9 indexed citations
17.
Fathi, Mohammad, Vafa Maihami, & Parham Moradi. (2013). Reinforcement Learning for Multiple Access Control in Wireless Sensor Networks: Review, Model, and Open Issues. Wireless Personal Communications. 72(1). 535–547. 6 indexed citations
18.
Maihami, Vafa, et al.. (2012). An Energy efficient scheduling scheme for wireless sensor networks. 436–439. 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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2026