Mohammad Shokoohi-Yekta

About

Mohammad Shokoohi-Yekta is a scholar working on Signal Processing, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mohammad Shokoohi-Yekta has authored 4 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Mohammad Shokoohi-Yekta’s work include Time Series Analysis and Forecasting (2 papers), Music and Audio Processing (2 papers) and Video Analysis and Summarization (1 paper). Mohammad Shokoohi-Yekta is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Music and Audio Processing (2 papers) and Video Analysis and Summarization (1 paper). Mohammad Shokoohi-Yekta collaborates with scholars based in United States. Mohammad Shokoohi-Yekta's co-authors include Eamonn Keogh, Bing Hu, Hongxia Jin, Jun Wang, Yanping Chen, Bilson Campana, Jesin Zakaria, Yuan Hao, George Papageorgiou and Peter Gregg and has published in prestigious journals such as Data Mining and Knowledge Discovery, CiteSeer X (The Pennsylvania State University) and IEEE Aerospace Conference.

In The Last Decade

Co-authorship network of co-authors of Mohammad Shokoohi-Yekta i

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Fields of papers citing papers by Mohammad Shokoohi-Yekta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Shokoohi-Yekta. 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 Mohammad Shokoohi-Yekta. The network helps show where Mohammad Shokoohi-Yekta may publish in the future.

Countries citing papers authored by Mohammad Shokoohi-Yekta

Since Specialization

Citations

This map shows the geographic impact of Mohammad Shokoohi-Yekta'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 Mohammad Shokoohi-Yekta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shokoohi-Yekta 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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