Amirsina Torfi

30 total papers · 575 total citations
8 papers, 166 citations indexed

About

Amirsina Torfi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amirsina Torfi has authored 8 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amirsina Torfi's work include Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers) and Machine Learning in Healthcare (3 papers). Amirsina Torfi is often cited by papers focused on Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers) and Machine Learning in Healthcare (3 papers). Amirsina Torfi collaborates with scholars based in United States. Amirsina Torfi's co-authors include Edward A. Fox, Chandan K. Reddy, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi and Jeremy Dawson and has published in prestigious journals such as IEEE Access, Information Sciences and Figshare.

In The Last Decade

Amirsina Torfi

8 papers receiving 160 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amirsina Torfi 97 56 49 13 11 8 166
Wayne Xiong 170 1.8× 36 0.6× 86 1.8× 6 0.5× 21 1.9× 5 231
Alfredo Nazábal 114 1.2× 58 1.0× 29 0.6× 2 0.2× 6 0.5× 6 193
Khawar Mehmood 222 2.3× 32 0.6× 65 1.3× 3 0.2× 13 1.2× 8 290
Shukang Yin 93 1.0× 56 1.0× 7 0.1× 20 1.5× 7 0.6× 6 204
Oliver Eberle 173 1.8× 30 0.5× 17 0.3× 6 0.5× 5 0.5× 11 237
Roberto Paredes 54 0.6× 141 2.5× 54 1.1× 2 0.2× 8 0.7× 8 210
Junyi Li 170 1.8× 86 1.5× 10 0.2× 6 0.5× 5 0.5× 15 256
A Prathik 68 0.7× 18 0.3× 41 0.8× 3 0.2× 4 0.4× 7 161
Zeyu Wang 106 1.1× 89 1.6× 9 0.2× 6 0.5× 33 3.0× 13 224
Stanislau Semeniuta 103 1.1× 84 1.5× 18 0.4× 3 0.2× 5 0.5× 7 187

Countries citing papers authored by Amirsina Torfi

Since Specialization
Citations

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

Fields of papers citing papers by Amirsina Torfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirsina Torfi

This figure shows the co-authorship network connecting the top 25 collaborators of Amirsina Torfi. A scholar is included among the top collaborators of Amirsina Torfi 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 Amirsina Torfi. Amirsina Torfi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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