Amir Ghodrati

1.6k total citations · 1 hit paper
10 papers, 755 citations indexed

About

Amir Ghodrati is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Amir Ghodrati has authored 10 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Control and Systems Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Amir Ghodrati's work include Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). Amir Ghodrati is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). Amir Ghodrati collaborates with scholars based in Belgium, France and United States. Amir Ghodrati's co-authors include Tinne Tuytelaars, Basura Fernando, José Oramas, Efstratios Gavves, Marco Pedersoli, Ali Diba, Luc Van Gool, Mihir Jain, Cees G. M. Snoek and Xu Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, UvA-DARE (University of Amsterdam) and Lirias (KU Leuven).

In The Last Decade

Amir Ghodrati

10 papers receiving 743 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modeling video evolution for action recognition

2015 381 citations Basura Fernando, Efstratios Gavves et al. Lirias (KU Leuven) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amir Ghodrati Belgium	6	713	354	261	125	32	10	755
Muhammad Muneeb Ullah Switzerland	3	930 1.3×	421 1.2×	239 0.9×	169 1.4×	31 1.0×	6	975
Jian–Fang Hu China	15	972 1.4×	475 1.3×	370 1.4×	206 1.6×	27 0.8×	38	1.1k
Xuanhan Wang China	11	629 0.9×	342 1.0×	133 0.5×	75 0.6×	15 0.5×	23	743
Xuecheng Nie China	14	569 0.8×	207 0.6×	95 0.4×	115 0.9×	36 1.1×	28	653
Minsi Wang China	11	655 0.9×	413 1.2×	131 0.5×	50 0.4×	19 0.6×	13	711
Michalis Raptis United States	10	649 0.9×	233 0.7×	159 0.6×	154 1.2×	27 0.8×	12	719
Atul Kanaujia United States	10	703 1.0×	220 0.6×	143 0.5×	138 1.1×	50 1.6×	17	791
Cen Rao United States	8	496 0.7×	132 0.4×	151 0.6×	122 1.0×	34 1.1×	13	530

Countries citing papers authored by Amir Ghodrati

Since Specialization

Citations

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

Fields of papers citing papers by Amir Ghodrati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Ghodrati

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Ghodrati. A scholar is included among the top collaborators of Amir Ghodrati 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 Ghodrati. Amir Ghodrati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Habibian, Amirhossein, et al.. (2024). Clockwork Diffusion: Efficient Generation With Model-Step Distillation. 8352–8361. 1 indexed citations

2.

Jain, Mihir, Amir Ghodrati, & Cees G. M. Snoek. (2020). ActionBytes: Learning From Trimmed Videos to Localize Actions. UvA-DARE (University of Amsterdam). 1168–1177. 39 indexed citations

3.

Pourreza, Reza, Amir Ghodrati, & Amirhossein Habibian. (2019). Recognizing Compressed Videos: Challenges and Promises. 999–1007. 5 indexed citations

4.

Jia, Xu, Amir Ghodrati, Marco Pedersoli, & Tinne Tuytelaars. (2016). Towards Automatic Image Editing: Learning to See another You. 101.1–101.11. 14 indexed citations

5.

Fernando, Basura, Efstratios Gavves, José Oramas, Amir Ghodrati, & Tinne Tuytelaars. (2016). Rank Pooling for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(4). 773–787. 211 indexed citations

6.

Ghodrati, Amir, Xu Jia, Marco Pedersoli, & Tinne Tuytelaars. (2015). Swap Retrieval. Lirias (KU Leuven). 395–402. 1 indexed citations

7.

Ghodrati, Amir, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, & Luc Van Gool. (2015). DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. Lirias (KU Leuven). 2578–2586. 77 indexed citations

8.

Fernando, Basura, Efstratios Gavves, José Oramas, Amir Ghodrati, & Tinne Tuytelaars. (2015). Modeling video evolution for action recognition. Lirias (KU Leuven). 5378–5387. 381 indexed citations breakdown →

9.

Ghodrati, Amir, Marco Pedersoli, & Tinne Tuytelaars. (2014). Is 2D Information Enough For Viewpoint Estimation?. 19.1–19.12. 25 indexed citations

10.

Ghodrati, Amir, Marco Pedersoli, & Tinne Tuytelaars. (2014). Coupling video segmentation and action recognition. Lirias (KU Leuven). 618–625. 1 indexed citations

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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