Rahmad Mahendra

18 papers and 115 indexed citations i.

About

Rahmad Mahendra is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Rahmad Mahendra has authored 18 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Language and Linguistics. Recurrent topics in Rahmad Mahendra’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (5 papers). Rahmad Mahendra is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (5 papers). Rahmad Mahendra collaborates with scholars based in Indonesia, Australia and Italy. Rahmad Mahendra's co-authors include Alham Fikri Aji, Indra Budi, Timothy Baldwin, Samuel Cahyawijaya, Fajri Koto, Sebastian Ruder, Genta Indra Winata, Jey Han Lau, Arkaitz Zubiaga and Benjamin Müller and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Journal Of Big Data and Big Data and Cognitive Computing.

In The Last Decade

Co-authorship network of co-authors of Rahmad Mahendra i

Fields of papers citing papers by Rahmad Mahendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rahmad Mahendra

Since Specialization
Citations

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