Amir Gholaminejad

8 total papers · 620 total citations
6 papers, 359 citations indexed

About

Amir Gholaminejad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Amir Gholaminejad has authored 6 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Amir Gholaminejad's work include Advanced Neural Network Applications (3 papers), EEG and Brain-Computer Interfaces (1 paper) and Heat Transfer and Boiling Studies (1 paper). Amir Gholaminejad is often cited by papers focused on Advanced Neural Network Applications (3 papers), EEG and Brain-Computer Interfaces (1 paper) and Heat Transfer and Boiling Studies (1 paper). Amir Gholaminejad collaborates with scholars based in United States, China and Iran. Amir Gholaminejad's co-authors include Kurt Keutzer, Sicheng Zhao, BoRui Wu, Alvin Wan, Xiangyu Yue, Joseph E. Gonzalez, Peter Jin, George Biros, Yue Gao and Jungong Han and has published in prestigious journals such as ACM Transactions on Multimedia Computing Communications and Applications, ACM Transactions on Reconfigurable Technology and Systems and International Conference on Machine Learning.

In The Last Decade

Amir Gholaminejad

6 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Amir Gholaminejad	225	126	41	33	31	6	359
Yuxuan Wei	267 1.2×	85 0.7×	17 0.4×	32 1.0×	14 0.5×	5	378
Kevin Arcas	146 0.6×	127 1.0×	18 0.4×	112 3.4×	17 0.5×	7	399
Sukrit Gupta	127 0.6×	84 0.7×	31 0.8×	16 0.5×	14 0.5×	18	317
Ravi Krishna	144 0.6×	204 1.6×	18 0.4×	15 0.5×	16 0.5×	6	322
Zhongwei Guo	114 0.5×	91 0.7×	21 0.5×	56 1.7×	9 0.3×	8	373
Shishir Bashyal	164 0.7×	98 0.8×	54 1.3×	33 1.0×	94 3.0×	7	323
Hussam Qassim	139 0.6×	99 0.8×	18 0.4×	20 0.6×	11 0.4×	4	345
R. Moddemeijer	67 0.3×	87 0.7×	45 1.1×	109 3.3×	12 0.4×	6	360
Josh Wills	171 0.8×	68 0.5×	15 0.4×	20 0.6×	10 0.3×	6	308
Shangzhen Luan	227 1.0×	70 0.6×	19 0.5×	28 0.8×	10 0.3×	5	345

Countries citing papers authored by Amir Gholaminejad

Since Specialization

Citations

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

Fields of papers citing papers by Amir Gholaminejad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Gholaminejad

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