Ali N. Akansu

4.2k citations
170 papers · 2.7k indexed · h-index 25
Topics
Image and Signal Denoising Methods (44 papers)Advanced Data Compression Techniques (39 papers)Digital Filter Design and Implementation (35 papers)

In The Last Decade

Ali N. Akansu

157 papers receiving 2.5k citations

Peers

Ali N. Akansu
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 1.4k
  • Signal Processing 845
  • Electrical and Electronic Engineering 719
  • Computer Networks and Communications 487
  • Artificial Intelligence 262
Replace David L. Neuhoff with:
David L. Neuhoff United States
P. Yip Canada
Ahmed H. Tewfik United States
Tianshuang Qiu China
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Ali N. Akansu relative to David L. Neuhoff United States David L. Neuhoff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ali N. Akansu

Since Specialization
Citations

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

Fields of papers citing papers by Ali N. Akansu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali N. Akansu. 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 Ali N. Akansu. The network helps show where Ali N. Akansu may publish in the future.

Co-authorship network of co-authors of Ali N. Akansu

This figure shows the co-authorship network connecting the top 25 collaborators of Ali N. Akansu. A scholar is included among the top collaborators of Ali N. Akansu 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 Ali N. Akansu. Ali N. Akansu 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 1
3
A Primer for Financial Engineering: Financial Signal Processing and Electronic Trading
9
4
Portfolio Risk in Multiple Frequencies
8
5 8
6
Improved correlation of Generalized DFT with nonlinear phase for OFDM and CDMA Communications
7
7 5
8 14
9 5
10 1
11 27
12 30
13 5
14 50
15
Relational graph matching for human detection and posture recognition
7
16
Robust scheme for oblivious detection of watermarks/data hiding in still images
3
17 13
18 10
19 54
20 199

About Ali N. Akansu

Ali N. Akansu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 170 papers that have together received 2.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (44 papers), Advanced Data Compression Techniques (39 papers) and Digital Filter Design and Implementation (35 papers). The work is most often cited by research in Signal Processing (845 citations), Computer Vision and Pattern Recognition (1.4k citations) and Computer Networks and Communications (487 citations). Ali N. Akansu has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include R.A. Haddad, Mahalingam Ramkumar, Wouter A. Serdijn, Ivan Selesnick, A. Aydın Alatan, Pierre Duhamel, M. de Courville, Xiaodong Cai, M. Ramkumar and Michael J. Medley. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing 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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