Parisa Haghani

54 total papers · 1.1k total citations
31 papers, 486 citations indexed

About

Parisa Haghani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Parisa Haghani has authored 31 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Parisa Haghani's work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (5 papers). Parisa Haghani is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (5 papers). Parisa Haghani collaborates with scholars based in United States, Switzerland and Germany. Parisa Haghani's co-authors include Karl Aberer, Sebastian Michel, Pedro J. Moreno, Zhongdi Qu, Saman Zonouz, Austin Waters, Tara N. Sainath, Michiel Bacchiani, Arun Narayanan and Rohit Prabhavalkar and has published in prestigious journals such as Computers & Security, Computer Science - Research and Development and View.

In The Last Decade

Parisa Haghani

30 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Parisa Haghani 328 213 133 69 61 31 486
Pierre-François Marteau 229 0.7× 238 1.1× 58 0.4× 23 0.3× 69 1.1× 32 439
Ying Zhong 322 1.0× 182 0.9× 297 2.2× 47 0.7× 46 0.8× 32 451
Ricardo Rocha 307 0.9× 104 0.5× 121 0.9× 63 0.9× 82 1.3× 19 419
Martin Wistuba 364 1.1× 303 1.4× 26 0.2× 43 0.6× 55 0.9× 26 550
Stamatia Dasiopoulou 165 0.5× 84 0.4× 57 0.4× 58 0.8× 269 4.4× 28 408
Xiaoyan Yang 220 0.7× 120 0.6× 76 0.6× 81 1.2× 205 3.4× 30 502
Yifang Sun 202 0.6× 164 0.8× 52 0.4× 37 0.5× 296 4.9× 17 509
Khair Eddin Sabri 320 1.0× 197 0.9× 374 2.8× 106 1.5× 46 0.8× 34 535
Qingqing Gan 251 0.8× 91 0.4× 205 1.5× 321 4.7× 69 1.1× 42 513
Songlei Jian 361 1.1× 83 0.4× 130 1.0× 164 2.4× 107 1.8× 34 476

Countries citing papers authored by Parisa Haghani

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Haghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Haghani

This figure shows the co-authorship network connecting the top 25 collaborators of Parisa Haghani. A scholar is included among the top collaborators of Parisa Haghani 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 Parisa Haghani. Parisa Haghani 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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