Hamid Krim

9.5k total citations · 1 hit paper
185 papers, 6.0k citations indexed

About

Hamid Krim is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Hamid Krim has authored 185 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Vision and Pattern Recognition, 50 papers in Computational Mechanics and 39 papers in Artificial Intelligence. Recurrent topics in Hamid Krim's work include Image and Signal Denoising Methods (42 papers), Medical Image Segmentation Techniques (31 papers) and Sparse and Compressive Sensing Techniques (26 papers). Hamid Krim is often cited by papers focused on Image and Signal Denoising Methods (42 papers), Medical Image Segmentation Techniques (31 papers) and Sparse and Compressive Sensing Techniques (26 papers). Hamid Krim collaborates with scholars based in United States, France and Canada. Hamid Krim's co-authors include Mats Viberg, A. Ben Hamza, Jean‐Christophe Pesquet, Hervé Carfantan, Yun He, Alan S. Willsky, Yi Sheng, Demetrio Labate, Glenn R. Easley and Anthony Yezzi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Automatica.

In The Last Decade

Hamid Krim

173 papers receiving 5.6k citations

Hit Papers

Two decades of array signal processing research: the para... 1996 2026 2006 2016 1996 1000 2.0k 3.0k
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.

  1. Two decades of array signal processing research: the parametric approach
    1996 3.4k citations Hamid Krim, Mats Viberg profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Krim United States 24 3.2k 1.6k 1.4k 1.3k 1.0k 185 6.0k
M. Kaveh United States 36 2.6k 0.8× 1.4k 0.8× 2.1k 1.4× 4.4k 3.4× 1.1k 1.1× 190 9.0k
James H. McClellan United States 39 3.0k 0.9× 1.7k 1.0× 792 0.5× 1.3k 1.0× 2.0k 2.0× 282 7.0k
B. Porat Israel 34 2.5k 0.8× 965 0.6× 1.2k 0.9× 1.3k 1.0× 952 0.9× 119 6.5k
Wei Liu China 44 3.8k 1.2× 647 0.4× 3.5k 2.4× 2.4k 1.8× 1.3k 1.3× 745 8.8k
C.L. Nikias United States 34 4.1k 1.3× 1.1k 0.7× 557 0.4× 1.4k 1.1× 2.2k 2.1× 198 7.2k
Zhifeng Zhang China 10 1.8k 0.6× 2.4k 1.5× 519 0.4× 913 0.7× 2.6k 2.5× 43 6.8k
Ljubiša Stanković Montenegro 45 2.0k 0.6× 2.1k 1.3× 1.7k 1.2× 1.2k 0.9× 1.2k 1.2× 286 6.8k
David Wipf United States 30 1.8k 0.6× 1.6k 1.0× 430 0.3× 684 0.5× 1.9k 1.8× 84 5.2k
Andrew G. Dempster Australia 44 2.0k 0.6× 1.2k 0.8× 2.8k 2.0× 3.9k 2.9× 448 0.4× 336 7.5k
Franz Hlawatsch Austria 40 1.7k 0.5× 1.5k 0.9× 832 0.6× 2.6k 2.0× 797 0.8× 229 6.8k

Countries citing papers authored by Hamid Krim

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Krim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Krim

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

All Works

20 of 20 papers shown
1.
Krim, Hamid, et al.. (2023). Latent code-based fusion: A Volterra neural network approach. Intelligent Systems with Applications. 18. 200210–200210. 1 indexed citations
2.
Krim, Hamid, et al.. (2022). Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles. 2. 380–386. 1 indexed citations
3.
Panahi, Ashkan, et al.. (2020). Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. IEEE Sensors Journal. 20(20). 12307–12316. 2 indexed citations
4.
Krim, Hamid, et al.. (2018). Metric Driven Classification: A Non-Parametric Approach Based on the Henze–Penrose Test Statistic. IEEE Transactions on Image Processing. 27(12). 5947–5956.
5.
Li, Xilai, et al.. (2017). AOGNets: Deep AND-OR Grammar Networks for Visual Recognition. arXiv (Cornell University). 5 indexed citations
6.
Bian, Xiao, Bradley S. Gibson, & Hamid Krim. (2013). A Probabilistic Approach of Space Objects Detection from Non-Resolved Optical Observation. Advanced Maui Optical and Space Surveillance Technologies Conference. 4 indexed citations
7.
Krim, Hamid, et al.. (2010). Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images. IEEE Transactions on Image Processing. 19(7). 1706–1719. 5 indexed citations
8.
Aouada, Djamila & Hamid Krim. (2009). Squigraphs for Fine and Compact Modeling of 3-D Shapes. IEEE Transactions on Image Processing. 19(2). 306–321. 12 indexed citations
9.
Krim, Hamid, et al.. (2007). Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling. IEEE Transactions on Image Processing. 16(2). 317–328. 12 indexed citations
10.
Krim, Hamid & Anthony Yezzi. (2006). Statistics and Analysis of Shapes. CERN Document Server (European Organization for Nuclear Research). 50 indexed citations
11.
Hamza, A. Ben & Hamid Krim. (2006). Geodesic matching of triangulated surfaces. IEEE Transactions on Image Processing. 15(8). 2249–2258. 46 indexed citations
12.
Krim, Hamid & Anthony Yezzi. (2005). Statistics and Analysis of Shapes (Modeling and Simulation in Science, Engineering and Technology). 9 indexed citations
13.
He, Yuting & Hamid Krim. (2002). Multiscale signal enhancement: beyond the normality and independence assumption. IEEE Transactions on Image Processing. 11(4). 423–433. 1 indexed citations
14.
15.
Ünal, Gözde, Hamid Krim, & Anthony Yezzi. (2002). Stochastic differential equations and geometric flows. IEEE Transactions on Image Processing. 11(12). 1405–1416. 13 indexed citations
16.
Hamza, A. Ben, Yun He, & Hamid Krim. (2001). An information divergence measure for ISAR image registration. 130–133. 23 indexed citations
17.
Pollak, Ilya, Alan S. Willsky, & Hamid Krim. (2000). Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE Transactions on Image Processing. 9(2). 256–266. 72 indexed citations
18.
Krim, Hamid, et al.. (1999). Levy processes for image modelling.. 204–207. 1 indexed citations
19.
Viberg, Mats & Hamid Krim. (1997). Two Decades of Array Signal Processing. Chalmers Publication Library (Chalmers University of Technology). 29 indexed citations
20.
Brooks, Dana H., et al.. (1996). Temporal and spatial analysis of potential maps via multiresolution decompositions. Journal of Electrocardiology. 29. 114–124. 3 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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