Nima Razavi

787 total citations · 1 hit paper
4 papers, 452 citations indexed

About

Nima Razavi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Nima Razavi has authored 4 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Nima Razavi's work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nima Razavi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nima Razavi collaborates with scholars based in Switzerland, Belgium and Germany. Nima Razavi's co-authors include Jüergen Gall, Luc Van Gool, Angela Yao, Victor Lempitsky and Luc Van Gool and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Lirias (KU Leuven).

In The Last Decade

Nima Razavi

4 papers receiving 425 citations

Hit Papers

align trajectories

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.

Hough Forests for Object Detection, Tracking, and Action Recognition

2011 399 citations Jüergen Gall, Angela Yao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nima Razavi Switzerland	4	387	100	65	43	33	4	452
Jun Miao China	11	380 1.0×	73 0.7×	50 0.8×	27 0.6×	16 0.5×	28	502
Adnan Ahmed Rafique Pakistan	10	353 0.9×	101 1.0×	34 0.5×	55 1.3×	41 1.2×	15	481
Abrar Ahmed Pakistan	7	422 1.1×	106 1.1×	27 0.4×	68 1.6×	53 1.6×	9	537
Kan Wu China	6	368 1.0×	116 1.2×	117 1.8×	33 0.8×	17 0.5×	10	532
Alain Crouzil France	13	318 0.8×	69 0.7×	47 0.7×	45 1.0×	32 1.0×	28	379
Ben Benfold United Kingdom	7	564 1.5×	215 2.1×	80 1.2×	52 1.2×	31 0.9×	8	638
Huijun Di China	13	523 1.4×	147 1.5×	85 1.3×	50 1.2×	18 0.5×	41	630
Mohammad Kazem Moghimi Iran	10	290 0.7×	178 1.8×	28 0.4×	28 0.7×	17 0.5×	21	450
Alessio Mecca Italy	9	204 0.5×	100 1.0×	70 1.1×	118 2.7×	39 1.2×	17	353
Joseph Tighe United States	15	784 2.0×	256 2.6×	65 1.0×	71 1.7×	37 1.1×	26	869

Countries citing papers authored by Nima Razavi

Since Specialization

Citations

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

Fields of papers citing papers by Nima Razavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Razavi

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

All Works

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4 of 4 papers shown

1.

Razavi, Nima, et al.. (2012). Sparsity Potentials for Detecting Objects with the Hough Transform. Lirias (KU Leuven). 11.1–11.10. 3 indexed citations

2.

Razavi, Nima, Jüergen Gall, & Luc Van Gool. (2011). Scalable multi-class object detection. Lirias (KU Leuven). 1505–1512. 29 indexed citations

3.

Gall, Jüergen, Angela Yao, Nima Razavi, Luc Van Gool, & Victor Lempitsky. (2011). Hough Forests for Object Detection, Tracking, and Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2188–2202. 399 indexed citations breakdown →

4.

Gall, Jüergen, Nima Razavi, & Luc Van Gool. (2010). On-line Adaption of Class-specific Codebooks for Instance Tracking. Lirias (KU Leuven). 55.1–55.12. 21 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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