Saeid Motiian

22 total papers · 665 total citations
10 papers, 205 citations indexed

About

Saeid Motiian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Saeid Motiian has authored 10 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Saeid Motiian's work include Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Saeid Motiian is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Saeid Motiian collaborates with scholars based in United States and United Kingdom. Saeid Motiian's co-authors include Gianfranco Doretto, Seyed Mehdi Iranmanesh, Quinn Jones, Donald Adjeroh, Marco Piccirilli, Ladislau Bölöni, Paola Pergami, Corrie A. Mancinelli, Ratheesh Kalarot and Wei-An Lin and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, BioMedical Engineering OnLine and Audiology Research.

In The Last Decade

Saeid Motiian

10 papers receiving 202 citations

Author Peers

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

Author						Papers	Cites
Saeid Motiian	146	99	21	13	11	10	205
Damla Arifoğlu	199 1.4×	124 1.3×	46 2.2×	10 0.8×	24 2.2×	12	283
Veenu Rani	53 0.4×	61 0.6×	49 2.3×	19 1.5×	10 0.9×	8	175
Guoqiang Wei	191 1.3×	100 1.0×	50 2.4×	13 1.0×	9 0.8×	9	251
Youze Xue	198 1.4×	70 0.7×	30 1.4×	2 0.2×	5 0.5×	11	278
Pilhyeon Lee	133 0.9×	116 1.2×	14 0.7×	10 0.8×	15 1.4×	13	200
Daochang Liu	213 1.5×	139 1.4×	56 2.7×	4 0.3×	13 1.2×	11	264
Aaron Chadha	120 0.8×	82 0.8×	13 0.6×	10 0.8×	14 1.3×	11	273
Sina Honari	134 0.9×	45 0.5×	25 1.2×	8 0.6×	6 0.5×	15	161
Roei Herzig	177 1.2×	113 1.1×	13 0.6×	9 0.7×	6 0.5×	13	229
Guangting Wang	175 1.2×	62 0.6×	12 0.6×	12 0.9×	8 0.7×	9	238

Countries citing papers authored by Saeid Motiian

Since Specialization

Citations

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

Fields of papers citing papers by Saeid Motiian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Motiian

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