ACM Transactions on Asian and Low-Resource Language Information Processing

907 papers and 4.1k indexed citations i.

About

The 907 papers published in ACM Transactions on Asian and Low-Resource Language Information Processing in the last decades have received a total of 4.1k indexed citations. Papers published in ACM Transactions on Asian and Low-Resource Language Information Processing usually cover Artificial Intelligence (777 papers), Computer Vision and Pattern Recognition (183 papers) and Information Systems (126 papers) specifically the topics of Topic Modeling (523 papers), Natural Language Processing Techniques (460 papers) and Sentiment Analysis and Opinion Mining (160 papers). The most active scholars publishing in ACM Transactions on Asian and Low-Resource Language Information Processing are Muhammad Kamran Malik, Chengqing Zong, Khaled Shaban, Hazem Hajj, Wassim El‐Hajj, Seung‐Hoon Na, Ramy Baly, Vijayalakshmi Saravanan, Praphula Kumar Jain and Rajendra Pamula.

In The Last Decade

Fields of papers published in ACM Transactions on Asian and Low-Resource Language Information Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Asian and Low-Resource Language Information Processing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Transactions on Asian and Low-Resource Language Information Processing.

Countries where authors publish in ACM Transactions on Asian and Low-Resource Language Information Processing

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on Asian and Low-Resource Language Information Processing. 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 papers published in ACM Transactions on Asian and Low-Resource Language Information Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Transactions on Asian and Low-Resource Language Information Processing 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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