Ashkan Aazami

942 citations
11 papers · 574 · 2 hit papers · h-index 9

Impact in

Papers in

Ashkan Aazami

11 papers receiving 561 citations

Ashkan Aazami's Hit Papers

Icassp 2022 Deep Noise Suppression Challenge 2022 · 120 citations
1200+2+4Years since publication50100150200250

Peers

Ashkan Aazami
Comparison fields: 5 of 24
  • Signal Processing 381
  • Computational Theory and Mathematics 99
  • Artificial Intelligence 67
  • Statistical and Nonlinear Physics 16
  • Computer Networks and Communications 27
Replace Caleb Donovick with:
Caleb Donovick United States
Wolfgang Johann Heinrich Mulzer Germany
Moon Ho Lee South Korea
Chuan Tang China
F. El-Guibaly Canada
Po Tong United States
J. Z. Sun United States
Phil Lapsley United States
Z.G. Li Singapore
Nabeel Shirazi United Kingdom
Ashkan Aazami relative to Caleb Donovick United States Caleb Donovick's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashkan Aazami

Since Specialization
Citations

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

Fields of papers citing papers by Ashkan Aazami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ashkan Aazami, 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 Ashkan Aazami Line = papers co-authored together Ashkan Aazami links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Hit paper breakdown →
2020259
2
Icassp 2022 Deep Noise Suppression Challenge
Hit paper breakdown →
2022120
3 200949
4 202442
5 200839
6 200719
7
Near Optimal Number of Replicas for Continuous Media in Ad-hoc Networks of Wireless Devices.
200415
8 201110
9 201210
10 20209
11 20092

About Ashkan Aazami

Ashkan Aazami is a scholar working on Computational Theory and Mathematics, Signal Processing, Computer Networks and Communications, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 574 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (5 papers), Speech and Audio Processing (3 papers), Advanced Graph Theory Research (3 papers), Software System Performance and Reliability (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Signal Processing (381 citations), Computational Theory and Mathematics (99 citations), Artificial Intelligence (67 citations), Statistical and Nonlinear Physics (16 citations) and Computer Networks and Communications (27 citations). Ashkan Aazami has collaborated with scholars based in Canada and United States. Frequent co-authors include Vishak Gopal, Ross Cutler, Harishchandra Dubey, Robert Aichner, Sebastian Braun, Sergiy Matusevych, Ebrahim Beyrami, Johannes E. Gehrke, Chandan K. A. Reddy and Sriram Srinivasan. Their work appears in journals such as Journal of Combinatorial Optimization, Discrete Optimization, SIAM Journal on Discrete Mathematics, Algorithmica and Lecture notes in computer science.

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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