Neda Tavakoli

16 papers and 1.2k indexed citations i.

About

Neda Tavakoli is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Neda Tavakoli has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Molecular Biology. Recurrent topics in Neda Tavakoli’s work include Stock Market Forecasting Methods (4 papers), Scheduling and Optimization Algorithms (3 papers) and Algorithms and Data Compression (3 papers). Neda Tavakoli is often cited by papers focused on Stock Market Forecasting Methods (4 papers), Scheduling and Optimization Algorithms (3 papers) and Algorithms and Data Compression (3 papers). Neda Tavakoli collaborates with scholars based in United States, Iran and China. Neda Tavakoli's co-authors include Akbar Siami Namin, Sima Siami‐Namini, Fereidoun Abtin, Cameron Hassani, Grace Hyun J. Kim, Amir Ali Rahsepar, Arash Bedayat, Parviz Fattahi, Abdolreza Roshani and Mohsen Amini Salehi and has published in prestigious journals such as Bioinformatics, Radiology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Co-authorship network of co-authors of Neda Tavakoli i

Fields of papers citing papers by Neda Tavakoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neda Tavakoli

Since Specialization
Citations

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