Kamal Nasrollahi

3.6k total citations · 2 hit papers
97 papers, 2.2k citations indexed

About

Kamal Nasrollahi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Kamal Nasrollahi has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 19 papers in Biomedical Engineering. Recurrent topics in Kamal Nasrollahi's work include Face recognition and analysis (26 papers), Video Surveillance and Tracking Methods (21 papers) and Face and Expression Recognition (15 papers). Kamal Nasrollahi is often cited by papers focused on Face recognition and analysis (26 papers), Video Surveillance and Tracking Methods (21 papers) and Face and Expression Recognition (15 papers). Kamal Nasrollahi collaborates with scholars based in Denmark, Spain and Estonia. Kamal Nasrollahi's co-authors include Thomas B. Moeslund, Radu Tudor Ionescu, Mohammad A. Haque, Fahad Shahbaz Khan, Sérgio Escalera, Neelu Madan, Nicolae-Cătălin Ristea, Mubarak Shah, Pau Rodríguez and Jordi Gonzàlez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Kamal Nasrollahi

93 papers receiving 2.2k 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.

Super-resolution: a comprehensive survey

2014 452 citations Kamal Nasrollahi, Thomas B. Moeslund profile →
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

2022 177 citations Nicolae-Cătălin Ristea, Neelu Madan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamal Nasrollahi Denmark	23	1.4k	445	358	317	310	97	2.2k
Faouzi Alaya Cheikh Norway	23	1.2k 0.8×	355 0.8×	318 0.9×	152 0.5×	97 0.3×	185	1.9k
Rashid Ansari United States	26	1.3k 0.9×	361 0.8×	252 0.7×	309 1.0×	143 0.5×	163	2.7k
Honggang Zhang China	21	1.8k 1.3×	457 1.0×	202 0.6×	246 0.8×	362 1.2×	136	2.4k
Jordi Gonzàlez Spain	26	1.6k 1.1×	526 1.2×	201 0.6×	200 0.6×	176 0.6×	117	2.4k
Bing‐Fei Wu Taiwan	25	969 0.7×	240 0.5×	145 0.4×	352 1.1×	111 0.4×	169	2.1k
Wenqiang Zhang China	22	1.2k 0.8×	610 1.4×	176 0.5×	116 0.4×	280 0.9×	124	2.1k
Luigi Cinque Italy	26	1.3k 0.9×	571 1.3×	176 0.5×	181 0.6×	67 0.2×	159	2.3k
Panos Trahanias Greece	26	1.4k 1.0×	409 0.9×	435 1.2×	304 1.0×	74 0.2×	127	2.5k
Marius Leordeanu Romania	23	2.8k 1.9×	725 1.6×	103 0.3×	195 0.6×	134 0.4×	56	3.5k
Simone Bianco Italy	25	1.6k 1.1×	335 0.8×	336 0.9×	112 0.4×	79 0.3×	105	2.4k

Countries citing papers authored by Kamal Nasrollahi

Since Specialization

Citations

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

Fields of papers citing papers by Kamal Nasrollahi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Nasrollahi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Escalera, Sérgio, et al.. (2024). LiDAR-Assisted 3D Human Detection for Video Surveillance. VBN Forskningsportal (Aalborg Universitet). 123–131. 2 indexed citations

Nasrollahi, Kamal, et al.. (2024). CALLM: Cascading Autoencoder and Large Language Model for Video Anomaly Detection. VBN Forskningsportal (Aalborg Universitet). 1–6. 2 indexed citations

Ionescu, Radu Tudor, Mariana-Iuliana Georgescu, Kamal Nasrollahi, et al.. (2023). SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Computer Vision and Image Understanding. 229. 103656–103656. 62 indexed citations

Nasrollahi, Kamal, et al.. (2023). Who Cares about the Weather? Inferring Weather Conditions for Weather-Aware Object Detection in Thermal Images. Applied Sciences. 13(18). 10295–10295. 1 indexed citations

Selva, Javier, et al.. (2023). Video Transformers: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 12922–12943. 74 indexed citations

Madan, Neelu, Nicolae-Cătălin Ristea, Radu Tudor Ionescu, et al.. (2023). Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 525–542. 59 indexed citations

Marvasti-Zadeh, Seyed Mojtaba, et al.. (2022). Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations

Naghsh‐Nilchi, Ahmad Reza, et al.. (2021). Memory‐ and time‐efficient dense network for single‐image super‐resolution. IET Signal Processing. 15(2). 141–152. 3 indexed citations

Nasrollahi, Kamal, et al.. (2020). One-To-One Person Re-Identification For Queue Time Estimation. VBN Forskningsportal (Aalborg Universitet). 15. 1706–1710.

10.

Haque, Mohammad A., et al.. (2019). Multimodal heartbeat rate estimation from the fusion of facial RGB and thermal videos. VBN Forskningsportal (Aalborg Universitet). 114–114.

11.

Nasrollahi, Kamal, et al.. (2017). Real-Time Barcode Detection and Classification using Deep Learning. VBN Forskningsportal (Aalborg Universitet). 321–327. 49 indexed citations

12.

Rodríguez, Pau, Guillem Cucurull, Jordi Gonzàlez, et al.. (2017). Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. IEEE Transactions on Cybernetics. 52(5). 3314–3324. 204 indexed citations

13.

Nasrollahi, Kamal, et al.. (2017). Improving a deep learning based RGB-D object recognition model by ensemble learning. VBN Forskningsportal (Aalborg Universitet). 36. 1–6. 8 indexed citations

14.

Nasrollahi, Kamal, et al.. (2017). R-FCN Object Detection Ensemble based on Object Resolution and Image Quality. VBN Forskningsportal (Aalborg Universitet). 110–120. 3 indexed citations

15.

Nasrollahi, Kamal, et al.. (2017). Parking Space Occupancy Verification - Improving Robustness using a Convolutional Neural Network. VBN Forskningsportal (Aalborg Universitet). 311–318. 8 indexed citations

16.

Nikolov, I., et al.. (2015). Circular Hough Transform and Local Circularity Measure for Weight Estimation of a Graph-Cut Based Wood Stack Measurement. VBN Forskningsportal (Aalborg Universitet). 686–693. 20 indexed citations

17.

Nixon, Mark, Paulo Lobato Correia, Kamal Nasrollahi, et al.. (2015). On soft biometrics. Pattern Recognition Letters. 68. 218–230. 67 indexed citations

18.

Nasrollahi, Kamal, et al.. (2012). An RGB-D Database Using Microsoft's Kinect for Windows for Face Detection. VBN Forskningsportal (Aalborg Universitet). 42–46. 60 indexed citations

19.

Nasrollahi, Kamal. (2011). A Computer Vision Story on Video Sequences:: From Face Detection to Face Super- Resolution using Face Quality Assessment. VBN Forskningsportal (Aalborg Universitet). 3 indexed citations

20.

Nasrollahi, Kamal & Thomas B. Moeslund. (2010). Hallucination of super-resolved face images. VBN Forskningsportal (Aalborg Universitet). 641–644. 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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