Kartika Purwandari

28 papers and 207 indexed citations i.

About

Kartika Purwandari is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Kartika Purwandari has authored 28 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Kartika Purwandari’s work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers) and Information Retrieval and Data Mining (3 papers). Kartika Purwandari is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers) and Information Retrieval and Data Mining (3 papers). Kartika Purwandari collaborates with scholars based in Indonesia and Taiwan. Kartika Purwandari's co-authors include Bens Pardamean, Yue‐Der Lin, Yung‐Hui Li, Tjeng Wawan Cenggoro, Reza Rahutomo, Derwin Suhartono, Harjanto Prabowo, Teddy Suparyanto, Muhammad Asrol and Arif Budiarto and has published in prestigious journals such as Sensors, IEEE Access and Nutrition and Cancer.

In The Last Decade

Co-authorship network of co-authors of Kartika Purwandari i

Fields of papers citing papers by Kartika Purwandari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kartika Purwandari

Since Specialization
Citations

This map shows the geographic impact of Kartika Purwandari'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 Kartika Purwandari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kartika Purwandari 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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2025