J.A. Vlontzos

581 total citations
11 papers, 382 citations indexed

About

J.A. Vlontzos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, J.A. Vlontzos has authored 11 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in J.A. Vlontzos's work include Advanced Vision and Imaging (5 papers), Handwritten Text Recognition Techniques (3 papers) and Advanced Image Processing Techniques (2 papers). J.A. Vlontzos is often cited by papers focused on Advanced Vision and Imaging (5 papers), Handwritten Text Recognition Techniques (3 papers) and Advanced Image Processing Techniques (2 papers). J.A. Vlontzos collaborates with scholars based in United States, Germany and Greece. J.A. Vlontzos's co-authors include Davi Geiger, Luís Augusto Nagasaki Costa, Alok Gupta, Sun‐Yuan Kung, Jenq–Neng Hwang, Jenq-Neng Hwang, Dan Geiger and Elizabeth J. Wilson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Acoustics Speech and Signal Processing.

In The Last Decade

J.A. Vlontzos

11 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.A. Vlontzos United States	5	291	70	48	35	31	11	382
Luís Augusto Nagasaki Costa Brazil	6	273 0.9×	38 0.5×	50 1.0×	21 0.6×	19 0.6×	7	434
P. Brigger Switzerland	8	324 1.1×	35 0.5×	73 1.5×	32 0.9×	39 1.3×	22	434
M.-P. Dubuisson-Jolly United States	7	385 1.3×	58 0.8×	35 0.7×	22 0.6×	48 1.5×	10	462
J.J. Villanueva Spain	9	340 1.2×	66 0.9×	68 1.4×	44 1.3×	23 0.7×	33	451
Chahab Nastar France	11	561 1.9×	60 0.9×	26 0.5×	87 2.5×	48 1.5×	19	615
Amos Sironi Switzerland	7	282 1.0×	89 1.3×	73 1.5×	20 0.6×	45 1.5×	11	429
Stéphanie Jehan‐Besson France	13	488 1.7×	50 0.7×	71 1.5×	11 0.3×	54 1.7×	23	555
Alok Jain India	8	131 0.5×	124 1.8×	53 1.1×	55 1.6×	28 0.9×	39	294
Zhenjie Yao China	10	127 0.4×	65 0.9×	69 1.4×	20 0.6×	45 1.5×	35	374
Françoise Prêteux France	12	343 1.2×	36 0.5×	74 1.5×	37 1.1×	25 0.8×	67	505

Countries citing papers authored by J.A. Vlontzos

Since Specialization

Citations

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

Fields of papers citing papers by J.A. Vlontzos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Vlontzos. 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 J.A. Vlontzos. The network helps show where J.A. Vlontzos may publish in the future.

Co-authorship network of co-authors of J.A. Vlontzos

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Vlontzos. A scholar is included among the top collaborators of J.A. Vlontzos 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 J.A. Vlontzos. J.A. Vlontzos 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:

11 of 11 papers shown

1.

Vlontzos, J.A. & Sun‐Yuan Kung. (2003). Hidden Markov models for character recognition. International Conference on Acoustics, Speech, and Signal Processing. assp 33. 1719–1722. 1 indexed citations

2.

Vlontzos, J.A. & Davi Geiger. (2003). A MRF approach to optical flow estimation. 853–856. 1 indexed citations

3.

Vlontzos, J.A., et al.. (2002). VLSI architectures for accurate motion and disparity estimation using full-search block-matching and edge preserving non-linear smoothing. 75–83. 2 indexed citations

4.

Geiger, Dan & J.A. Vlontzos. (2002). Matching elastic contours. 588. 602–604. 1 indexed citations

5.

Vlontzos, J.A., et al.. (2002). Disparity estimation using block matching and dynamic programming. 2. 728–731. 4 indexed citations

6.

Geiger, Davi, Alok Gupta, Luís Augusto Nagasaki Costa, & J.A. Vlontzos. (1995). Dynamic programming for detecting, tracking, and matching deformable contours. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(3). 294–302. 307 indexed citations

7.

Vlontzos, J.A., Jenq-Neng Hwang, & Elizabeth J. Wilson. (1994). Neural Networks for Signal Processing IV : proceedings of the 1994 IEEE Workshop. 4 indexed citations

8.

Vlontzos, J.A. & Sun‐Yuan Kung. (1992). Hidden Markov models for character recognition. IEEE Transactions on Image Processing. 1(4). 539–543. 35 indexed citations

9.

Hwang, Jenq–Neng, J.A. Vlontzos, & Sun‐Yuan Kung. (1989). A systolic neural network architecture for hidden Markov models. IEEE Transactions on Acoustics Speech and Signal Processing. 37(12). 1967–1979. 25 indexed citations

10.

Vlontzos, J.A. & Sun‐Yuan Kung. (1989). A hierarchical system for character recognition. 1–4 vol.1. 1 indexed citations

11.

Hwang, Jenq–Neng, J.A. Vlontzos, & Sun‐Yuan Kung. (1988). Systolic Architectures For Hidden Markov Models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 328–328. 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