Vafa Maihami

39 total papers · 574 total citations
18 papers, 293 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 293 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 Farzin Yaghmaee, Keyhan Khamforoosh, Mohammad Fathi, Sadoon Azizi, Parham Moradi, Reza Maihami 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 290 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vafa Maihami 66 66 60 54 54 18 293
Zhen Yan 81 1.2× 85 1.3× 47 0.8× 64 1.2× 30 0.6× 21 313
Ahmed R. Nasser 85 1.3× 72 1.1× 61 1.0× 50 0.9× 53 1.0× 31 343
Junhong Xu 61 0.9× 99 1.5× 45 0.8× 53 1.0× 81 1.5× 26 305
Harsukhpreet Singh 36 0.5× 128 1.9× 71 1.2× 79 1.5× 29 0.5× 20 360
Samaneh Yazdani 34 0.5× 51 0.8× 151 2.5× 51 0.9× 56 1.0× 16 338
Mohammad Samadi Gharajeh 53 0.8× 82 1.2× 42 0.7× 70 1.3× 115 2.1× 30 301
Yang Gu 54 0.8× 88 1.3× 133 2.2× 64 1.2× 77 1.4× 20 325
Zenglong Peng 82 1.2× 33 0.5× 94 1.6× 31 0.6× 61 1.1× 13 298
Qinghe Zheng 30 0.5× 46 0.7× 90 1.5× 66 1.2× 67 1.2× 15 331
Chenxu Zhao 84 1.3× 28 0.4× 61 1.0× 33 0.6× 133 2.5× 20 333

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

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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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