Izidor Gertner

481 citations
32 papers · 304 indexed · h-index 8
Topics
Image and Signal Denoising Methods (7 papers)Metaheuristic Optimization Algorithms Research (7 papers)Medical Image Segmentation Techniques (6 papers)
Partner nations
United StatesIsrael

In The Last Decade

Izidor Gertner

27 papers receiving 274 citations

Peers

Izidor Gertner
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 154
  • Signal Processing 100
  • Applied Mathematics 81
  • Hardware and Architecture 58
  • Computer Networks and Communications 53
Replace Jean‐Thierry Lapresté with:
Jean‐Thierry Lapresté France
J.G. Dunham United States
C. Chakrabarti United States
Michael D. Adams Canada
Yukihiko Yamashita Japan
G. Bongiovanni Italy
A. Benkrid United Kingdom
Giridhar Mandyam United States
Takeshi Agui Japan
Izidor Gertner relative to Jean‐Thierry Lapresté France Jean‐Thierry Lapresté's profile →
Citations per field
00.5×5.6×
Jean‐Thierry Lapresté · 1×
Citations per year

Countries citing papers authored by Izidor Gertner

Since Specialization
Citations

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

Fields of papers citing papers by Izidor Gertner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Izidor Gertner

This figure shows the co-authorship network connecting the top 25 collaborators of Izidor Gertner. A scholar is included among the top collaborators of Izidor Gertner 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 Izidor Gertner. Izidor Gertner 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 1
2 3
3 0
4
Improving the performance of evolutionary algorithms in imaging optimization
0
5 34
6 2
7 0
8 6
9 0
10 2
11 5
12 19
13 3
14 82
15 6
16 2
17 41
18 40
19 7
20 2

About Izidor Gertner

Izidor Gertner is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 32 papers that have together received 304 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Signal Processing (100 citations), Hardware and Architecture (58 citations) and Applied Mathematics (81 citations). Izidor Gertner has collaborated with scholars based in United States and Israel. Frequent co-authors include L. Auslander, Richard Tolimieri, David Bernstein, Yehoshua Y. Zeevi, Michael Rodeh, Jie Wei, Richard L. Peskin, Khaled Assaleh, Henry Xue and Ilan Rusnak. Their work appears in journals such as IEEE Transactions on Signal Processing, Information Sciences and Journal of the ACM.

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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