Aboozar Ghaffari

59 total papers · 566 total citations
36 papers, 410 citations indexed

About

Aboozar Ghaffari is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Aboozar Ghaffari has authored 36 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Signal Processing. Recurrent topics in Aboozar Ghaffari's work include Sparse and Compressive Sensing Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Medical Image Segmentation Techniques (9 papers). Aboozar Ghaffari is often cited by papers focused on Sparse and Compressive Sensing Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Medical Image Segmentation Techniques (9 papers). Aboozar Ghaffari collaborates with scholars based in Iran, United States and India. Aboozar Ghaffari's co-authors include Emad Fatemizadeh, Massoud Babaie‐Zadeh, Christian Jutten, Sajad Jafari, Saeed Bagheri Shouraki, Karthikeyan Rajagopal, Fahimeh Nazarimehr, M. R. Homaeinezhad, Maryam Afzali and Seyed Mohammad Reza Hashemi Golpayegani and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Aboozar Ghaffari

30 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
Aboozar Ghaffari	176	121	95	81	67	36	410
Xiefeng Cheng	90 0.5×	92 0.8×	73 0.8×	31 0.4×	69 1.0×	46	382
Miloš Brajović	156 0.9×	142 1.2×	99 1.0×	29 0.4×	22 0.3×	64	486
David C. Farden	61 0.3×	137 1.1×	127 1.3×	27 0.3×	185 2.8×	29	416
Luis J. Morales-Mendoza	85 0.5×	40 0.3×	78 0.8×	14 0.2×	48 0.7×	59	409
Louis Shue	80 0.5×	46 0.4×	61 0.6×	26 0.3×	80 1.2×	30	420
Guoqiang Han	118 0.7×	28 0.2×	99 1.0×	15 0.2×	75 1.1×	33	462
Marco Signoretto	128 0.7×	224 1.9×	37 0.4×	10 0.1×	20 0.3×	18	475
Debranjan Sarkar	161 0.9×	48 0.4×	25 0.3×	57 0.7×	60 0.9×	24	426
L. Khadra	39 0.2×	51 0.4×	80 0.8×	28 0.3×	283 4.2×	24	488
Boris Mailhé	176 1.0×	122 1.0×	65 0.7×	21 0.3×	18 0.3×	24	391

Countries citing papers authored by Aboozar Ghaffari

Since Specialization

Citations

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

Fields of papers citing papers by Aboozar Ghaffari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aboozar Ghaffari

This figure shows the co-authorship network connecting the top 25 collaborators of Aboozar Ghaffari. A scholar is included among the top collaborators of Aboozar Ghaffari 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 Aboozar Ghaffari. Aboozar Ghaffari 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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