P.S. Penev

1.1k total citations
11 papers, 710 citations indexed

About

P.S. Penev is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, P.S. Penev has authored 11 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 3 papers in Signal Processing. Recurrent topics in P.S. Penev's work include Face and Expression Recognition (5 papers), Neural Networks and Applications (3 papers) and Face recognition and analysis (3 papers). P.S. Penev is often cited by papers focused on Face and Expression Recognition (5 papers), Neural Networks and Applications (3 papers) and Face recognition and analysis (3 papers). P.S. Penev collaborates with scholars based in United States and Bulgaria. P.S. Penev's co-authors include Joseph J. Atick, L. Sirovich, Mitchell J. Feigenbaum, John P. Miller, Alexander G. Dimitrov, E. Kaplan and Maurice Ayache and has published in prestigious journals such as Neurocomputing, Network Computation in Neural Systems and Neural Information Processing Systems.

In The Last Decade

P.S. Penev

8 papers receiving 615 citations

Peers

P.S. Penev

CVPR

SP

MT

AI

CN

K. Etemad United States

Kyungim Baek United States

Diego A. Socolinsky United States

Xujun Peng United States

Shen Lan-sun China

Randy P. Broussard United States

Yanwei Pang China

Yun Tie China

Yuchi Huang United States

K. Etemad United States

P.S. Penev

753 ×1.2

CVPR

183 ×0.8

SP

140 ×1.7

MT

125 ×1.8

AI

16 ×0.4

CN

Citations per year, relative to P.S. Penev P.S. Penev (= 1×) peers K. Etemad

Countries citing papers authored by P.S. Penev

Since Specialization

Citations

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

Fields of papers citing papers by P.S. Penev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.S. Penev. 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 P.S. Penev. The network helps show where P.S. Penev may publish in the future.

Co-authorship network of co-authors of P.S. Penev

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

All Works

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11 of 11 papers shown

1.

Penev, P.S., et al.. (2022). A SPECIFIC APPROACH TO LEAST SQUARES ADJUSTMENT OF THE STATE LEVELLING NETWORK. International Multidisciplinary Scientific GeoConference SGEM .... 22. 163–170.

2.

Penev, P.S., et al.. (2004). <title>Independent manifold analysis for subpixel tracking of local features and face recognition in video sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5404. 523–533.

3.

Penev, P.S., et al.. (2002). Facial feature tracking and pose estimation in video sequences by factorial coding of the low-dimensional entropy manifolds due to the partial symmetries of faces. 4. 2345–2348. 7 indexed citations

4.

Penev, P.S., et al.. (2002). Using vector quantization to build nonlinear factorial models of the low-dimensional independent manifolds in optical imaging data. 1. 292–295.

5.

Penev, P.S. & L. Sirovich. (2002). The global dimensionality of face space. 264–270. 54 indexed citations

6.

Penev, P.S., et al.. (2002). Optimal estimation of subband speech from nonuniform non-recurrent signal-driven sparse samples. 2. 765–768. 1 indexed citations

7.

Penev, P.S., Alexander G. Dimitrov, & John P. Miller. (2001). Characterization of and compensation for the nonstationarity of spike shapes during physiological recordings. Neurocomputing. 38-40. 1695–1701. 4 indexed citations

8.

Penev, P.S.. (2000). Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local Features. Neural Information Processing Systems. 13. 901–907. 4 indexed citations

9.

Feigenbaum, Mitchell J. & P.S. Penev. (1998). Local feature analysis: a statistical theory for information representation and transmission. 17 indexed citations

10.

Penev, P.S. & Joseph J. Atick. (1996). Local feature analysis: a general statistical theory for object representation. Network Computation in Neural Systems. 7(3). 477–500. 392 indexed citations

11.

Penev, P.S. & Joseph J. Atick. (1996). Local feature analysis: a general statistical theory for object representation. Network Computation in Neural Systems. 7(3). 477–500. 231 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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