Raviv Raich

3.3k total citations
131 papers, 2.1k citations indexed

About

Raviv Raich is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raviv Raich has authored 131 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Signal Processing, 42 papers in Artificial Intelligence and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raviv Raich's work include Sparse and Compressive Sensing Techniques (28 papers), Music and Audio Processing (20 papers) and Image Retrieval and Classification Techniques (13 papers). Raviv Raich is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Music and Audio Processing (20 papers) and Image Retrieval and Classification Techniques (13 papers). Raviv Raich collaborates with scholars based in United States, Israel and United Kingdom. Raviv Raich's co-authors include G. Tong Zhou, Xiaoli Z. Fern, Alfred O. Hero, Hua Qian, Forrest Briggs, Lei Ding, Balaji Lakshminarayanan, Lawrence Neal, William G. Finn and Hagit Messer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Raviv Raich

120 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raviv Raich United States 23 772 506 490 402 267 131 2.1k
Godfried T. Toussaint Canada 24 252 0.3× 459 0.9× 516 1.1× 1.3k 3.3× 7 0.0× 139 3.2k
Kaare Brandt Petersen Denmark 9 225 0.3× 309 0.6× 239 0.5× 193 0.5× 4 0.0× 16 1.0k
Peder A. Olsen United States 20 95 0.1× 1.1k 2.1× 848 1.7× 429 1.1× 6 0.0× 82 1.9k
Jianzhong Wang China 20 92 0.1× 169 0.3× 242 0.5× 838 2.1× 10 0.0× 134 1.7k
Richard J. Mammone United States 21 84 0.1× 1.2k 2.4× 882 1.8× 411 1.0× 11 0.0× 113 1.8k
David Crouse United States 16 106 0.1× 442 0.9× 132 0.3× 140 0.3× 7 0.0× 57 890
Moawad I. Dessouky Egypt 25 1.4k 1.8× 304 0.6× 387 0.8× 682 1.7× 3 0.0× 269 2.7k
H.A. Larrondo Argentina 19 113 0.1× 215 0.4× 127 0.3× 182 0.5× 9 0.0× 62 1.5k
Luís Gustavo Nonato Brazil 23 44 0.1× 521 1.0× 303 0.6× 1.4k 3.4× 7 0.0× 144 2.1k
I. Bar-David Israel 15 647 0.8× 160 0.3× 106 0.2× 66 0.2× 4 0.0× 55 1.1k

Countries citing papers authored by Raviv Raich

Since Specialization
Citations

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

Fields of papers citing papers by Raviv Raich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raviv Raich

This figure shows the co-authorship network connecting the top 25 collaborators of Raviv Raich. A scholar is included among the top collaborators of Raviv Raich 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 Raviv Raich. Raviv Raich 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.
2.
Raich, Raviv, et al.. (2024). A two-step self consistent algorithm for extracting magnetic anisotropy constants from angle-dependent ferromagnetic resonance measurements. Journal of Magnetism and Magnetic Materials. 610. 172562–172562.
3.
Kendler, Shai, et al.. (2022). Hyperspectral imaging for chemicals identification: a human-inspired machine learning approach. Scientific Reports. 12(1). 17580–17580. 6 indexed citations
4.
Raich, Raviv, et al.. (2020). Incomplete Label Multiple Instance Multiple Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3). 1320–1337. 11 indexed citations
5.
Kendler, Shai, Shay B. Cohen, Raviv Raich, et al.. (2019). Non-contact and non-destructive detection and identification of Bacillus anthracis inside paper envelopes. Forensic Science International. 301. e55–e58. 2 indexed citations
6.
Li, Fuxin, et al.. (2017). FILTER SHAPING FOR CONVOLUTIONAL NEURAL NETWORKS. International Conference on Learning Representations. 11 indexed citations
7.
Raich, Raviv, et al.. (2016). Efficient multi-instance learning for activity recognition from time series data using an auto-regressive hidden Markov model. International Conference on Machine Learning. 2330–2339. 23 indexed citations
8.
Raich, Raviv & Jinsub Kim. (2016). On the eigenvalue distribution of column sub-sampled semi-unitary matrices. 1–5. 2 indexed citations
9.
Briggs, Forrest, Xiaoli Z. Fern, Raviv Raich, & Matthew G. Betts. (2016). Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 2 indexed citations
10.
Raich, Raviv, et al.. (2015). Multi-instance multi-label learning in the presence of novel class instances. UCrea (University of Cantabria). 2427–2435. 37 indexed citations
11.
Finn, William G., Alexandra M. Harrington, Kevin M. Carter, et al.. (2011). Immunophenotypic signatures of benign and dysplastic granulopoiesis by cytomic profiling. Cytometry Part B Clinical Cytometry. 80B(5). 282–290. 5 indexed citations
12.
Amer, Mohamed R., Raviv Raich, & Siniša Todorović. (2010). Monocular Extraction of 2.1D Sketch.. International Conference on Image Processing. 3437–3440. 8 indexed citations
13.
Raich, Raviv, et al.. (2010). Isometric Correction for Manifold Learning. National Conference on Artificial Intelligence.
14.
Raich, Raviv, et al.. (2009). FINE: Fisher Information Nonparametric Embedding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2093–2098. 58 indexed citations
15.
Ting, Michael, Raviv Raich, & Alfred O. Hero. (2009). Sparse Image Reconstruction for Molecular Imaging. IEEE Transactions on Image Processing. 18(6). 1215–1227. 22 indexed citations
16.
Carter, Kevin M., Raviv Raich, William G. Finn, & Alfred O. Hero. (2009). Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis. IEEE Journal of Selected Topics in Signal Processing. 3(1). 148–158. 13 indexed citations
17.
Raich, Raviv, et al.. (2007). Adaptive Sampling: Efficient Search Schemes under Resource Constraints. 3 indexed citations
18.
Choi, Kerkil, Aaron D. Lanterman, & Raviv Raich. (2006). Convergence of the Schulz-Snyder phase retrieval algorithm to local minima. Journal of the Optical Society of America A. 23(8). 1835–1835. 6 indexed citations
19.
Raich, Raviv & G. Tong Zhou. (2004). Orthogonal Polynomials for Complex Gaussian Processes. IEEE Transactions on Signal Processing. 52(10). 2788–2797. 89 indexed citations
20.
Raich, Raviv & Donald F. Gleason. (1959). Pulmonary symptoms and eosinophilia due to filariasis. Tubercle. 40(6). 462–465. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Godfried T. Toussaint Breakdown of academic impact, for papers by Kaare Brandt Petersen Breakdown of academic impact, for papers by Peder A. Olsen Breakdown of academic impact, for papers by Jianzhong Wang Breakdown of academic impact, for papers by Richard J. Mammone Breakdown of academic impact, for papers by David Crouse Breakdown of academic impact, for papers by Moawad I. Dessouky Breakdown of academic impact, for papers by H.A. Larrondo Breakdown of academic impact, for papers by Luís Gustavo Nonato Breakdown of academic impact, for papers by I. Bar-David
Rankless by CCL
2026