Iskender Agi

492 citations
21 papers · 358 · h-index 7

Impact in

Papers in

Iskender Agi

19 papers receiving 328 citations

Peers

Iskender Agi
Comparison fields: 5 of 57
  • Instrumentation 59
  • Computer Vision and Pattern Recognition 204
  • Hardware and Architecture 28
  • Signal Processing 34
  • Artificial Intelligence 100
Replace Dawid Pająk with:
Dawid Pająk Poland
Thijs Vogels United States
Paul A. Wilford United States
Dahua Gao China
Hyun Woo Choi United States
Michael A. Isnardi United States
Heng Xi Yu China
Nagib Hakim United States
Kiyoshi Oguri Japan
Iskender Agi relative to Dawid Pająk Poland Dawid Pająk's profile →
Citations per field
00.5×2×4×5.9×
Dawid Pająk · 1×
Citations per year

Countries citing papers authored by Iskender Agi

Since Specialization
Citations

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

Fields of papers citing papers by Iskender Agi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Iskender Agi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iskender Agi Line = papers co-authored together Iskender Agi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002160
2 201895
3 199320
4 199715
5 199211
6 199610
7 19908
8 19927
9 19907
10 19976
11 20024
12 20023
13
A pipelined IC architecture for radon transform computations in a multiprocessor array
19903
14 19922
15 20022
16 20131
17 20021
18 20031
19 20031
20
19961

About Iskender Agi

Iskender Agi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Hardware and Architecture, Biophysics and Signal Processing, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Digital Image Processing Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Advanced Data Compression Techniques (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Instrumentation (59 citations), Computer Vision and Pattern Recognition (204 citations), Hardware and Architecture (28 citations), Signal Processing (34 citations) and Artificial Intelligence (100 citations). Iskender Agi has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Li‐Hua Gong, Paul J. Hurst, K.W. Current, Raj Jagannathan, Anil Kumar Jain, S.G. Azevedo, Gary E. Ford, Cihan Tunc, H. Fatih Uğurdağ and Bilgiday Yuce. Their work appears in journals such as Multimedia Tools and Applications, Machine Vision and Applications, IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Signal Processing.

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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