Javad Sadri

60 total papers · 1.3k total citations
50 papers, 886 citations indexed

About

Javad Sadri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Javad Sadri has authored 50 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 12 papers in Mechanical Engineering. Recurrent topics in Javad Sadri's work include Handwritten Text Recognition Techniques (19 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (8 papers). Javad Sadri is often cited by papers focused on Handwritten Text Recognition Techniques (19 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (8 papers). Javad Sadri collaborates with scholars based in Iran, Canada and Algeria. Javad Sadri's co-authors include Hamed Vahdat‐Nejad, Ching Y. Suen, Hossein Izadi, Tien D. Bui, Hossein Amirabadi, Farshid Jafarian, C.Y. Suen, Younes Akbari, Kazem Nouri and Chawki Djeddi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Expert Systems with Applications.

In The Last Decade

Javad Sadri

49 papers receiving 824 citations

Author Peers

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

Author						Papers	Cites
Javad Sadri	358	304	224	125	115	50	886
Sanjay Kumar	347 1.0×	176 0.6×	65 0.3×	101 0.8×	71 0.6×	56	870
Chen Xu	286 0.8×	324 1.1×	76 0.3×	161 1.3×	116 1.0×	59	932
Qiong Liu	320 0.9×	149 0.5×	78 0.3×	161 1.3×	16 0.1×	92	863
Hang Yu	238 0.7×	622 2.0×	91 0.4×	116 0.9×	31 0.3×	120	1.0k
Laura Fernández-Robles	191 0.5×	260 0.9×	133 0.6×	91 0.7×	30 0.3×	47	732
Jing Xu	486 1.4×	156 0.5×	122 0.5×	36 0.3×	42 0.4×	63	1.0k
Maofu Liu	376 1.1×	355 1.2×	60 0.3×	68 0.5×	31 0.3×	59	829
Tao Huang	238 0.7×	363 1.2×	35 0.2×	224 1.8×	44 0.4×	87	992
Shuo Chang	166 0.5×	329 1.1×	43 0.2×	76 0.6×	27 0.2×	59	947
Wenjie Feng	206 0.6×	373 1.2×	128 0.6×	29 0.2×	28 0.2×	29	826

Countries citing papers authored by Javad Sadri

Since Specialization

Citations

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

Fields of papers citing papers by Javad Sadri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Sadri

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