P.L. Venetianer

22 papers receiving 448 citations

Peers

P.L. Venetianer
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 255
  • Artificial Intelligence 206
  • Computer Networks and Communications 185
  • Electrical and Electronic Engineering 140
  • Computational Theory and Mathematics 64
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Citations per field
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Citations per year

Countries citing papers authored by P.L. Venetianer

Since Specialization
Citations

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

Fields of papers citing papers by P.L. Venetianer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.L. Venetianer

This figure shows the co-authorship network connecting the top 25 collaborators of P.L. Venetianer. A scholar is included among the top collaborators of P.L. Venetianer 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.L. Venetianer. P.L. Venetianer 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
#WorkIndexed citations
1 4
2 1
3 27
4
A Robust Human Detection and Tracking System Using a Human-Model-Based Camera Calibration
15
5 107
6 12
7 14
8 3
9 2
10 6
11 12
12 6
13 0
14 11
15 3
16 7
17 44
18 53
19
The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.)
2
20
Some novel capabilities of CNN. Game of life and examples of multipath algorithms. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-3-1992.)
0

About P.L. Venetianer

P.L. Venetianer is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 24 papers that have together received 486 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (10 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (255 citations), Computer Networks and Communications (185 citations) and Artificial Intelligence (206 citations). P.L. Venetianer has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Alan J. Lipton, T. Roska, Leon O. Chua, Niels Haering, F. Werblin, Hongli Deng, Ákos Zarándy, László Orzó, J. Takács and J. Hámori. Their work appears in journals such as IEEE Signal Processing Magazine, Computer Vision and Image Understanding and International Journal of Bifurcation and Chaos.

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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