Mahsa Yarmohammadi

11 papers and 285 indexed citations i.

About

Mahsa Yarmohammadi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mahsa Yarmohammadi has authored 11 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Mahsa Yarmohammadi’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Speech Recognition and Synthesis (5 papers). Mahsa Yarmohammadi is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Speech Recognition and Synthesis (5 papers). Mahsa Yarmohammadi collaborates with scholars based in United States, Canada and China. Mahsa Yarmohammadi's co-authors include Sanjeev Khudanpur, Daniel Povey, Hainan Xu, Ke Li, Yiming Wang, Gaofeng Cheng, Vivek Kumar Rangarajan Sridhar, Srinivas Bangalore, Baskaran Sankaran and Mehrnoush Shamsfard and has published in prestigious journals such as IEEE Signal Processing Letters, Computational Linguistics and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Mahsa Yarmohammadi i

Fields of papers citing papers by Mahsa Yarmohammadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahsa Yarmohammadi

Since Specialization
Citations

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

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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