I. Agi

489 citations
19 papers · 256 · h-index 8

Impact in

Papers in

I. Agi

17 papers receiving 229 citations

Peers

I. Agi
Comparison fields: 5 of 27
  • Computer Vision and Pattern Recognition 180
  • Hardware and Architecture 23
  • Artificial Intelligence 98
  • Signal Processing 32
  • Radiation 16
Replace J. Ngadiuba with:
J. Ngadiuba United States
Shah Rukh Qasim Switzerland
Michael Isnardi United States
S. Summers Switzerland
Ping‐Sing Tsai United States
Suk Hwan Lim United States
Tan M. Nguyen United States
Ziqi Yang China
Tianchen Zhao China
I. Agi relative to J. Ngadiuba United States J. Ngadiuba's profile →
Citations per field
00.5×3.2×
J. Ngadiuba · 1×
Citations per year

Countries citing papers authored by I. Agi

Since Specialization
Citations

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

Fields of papers citing papers by I. Agi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside I. 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 I. Agi Line = papers co-authored together I. Agi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2002159
2 199321
3 199713
4 199211
5 199610
6 19909
7 19907
8 19927
9 20024
10 20023
11 19973
12 20022
13 19922
14 20031
15 20031
16 20021
17
19961
18 20131
19 20030

About I. Agi

I. Agi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 19 papers that have together received 256 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Digital Image Processing Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Software System Performance and Reliability (2 papers), Seismic Imaging and Inversion Techniques (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Hardware and Architecture (23 citations), Artificial Intelligence (98 citations), Signal Processing (32 citations) and Radiation (16 citations). I. Agi has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Li‐Hua Gong, P.J. Hurst, K.W. Current, R. Jagannathan, Anil K. Jain, S.G. Azevedo, Gary E. Ford, J.E.C. Brown, H. Fatih Uğurdağ and Cihan Tunc. Their work appears in journals such as Multimedia Tools and Applications, IEEE Journal of Solid-State Circuits, Machine Vision and Applications, 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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