Kazem Taghva

34 papers and 1.0k indexed citations i.

About

Kazem Taghva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kazem Taghva has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Kazem Taghva’s work include Handwritten Text Recognition Techniques (12 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers). Kazem Taghva is often cited by papers focused on Handwritten Text Recognition Techniques (12 papers), Natural Language Processing Techniques (10 papers) and Web Data Mining and Analysis (8 papers). Kazem Taghva collaborates with scholars based in United States. Kazem Taghva's co-authors include Jeffrey L. Cummings, Garam Lee, Kate Zhong, Jorge Ramón Fonseca Cacho, Mina Esmail Zadeh Nojoo Kambar, Julie Borsack, Allen Condit, Thomas A. Nartker, Jeffrey Coombs and Yoohwan Kim and has published in prestigious journals such as IEEE Access, Information Processing & Management and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Kazem Taghva i

Fields of papers citing papers by Kazem Taghva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazem Taghva

Since Specialization
Citations

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