Ika Alfina

505 total citations
24 papers, 314 citations indexed

About

Ika Alfina is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Ika Alfina has authored 24 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Ika Alfina's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Technology Adoption and User Behaviour (5 papers). Ika Alfina is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Technology Adoption and User Behaviour (5 papers). Ika Alfina collaborates with scholars based in Indonesia and Czechia. Ika Alfina's co-authors include Mohamad Ivan Fanany, Achmad Nizar Hidayanto, Indra Budi, Muhammad Rifki Shihab, Heru Suhartanto, Hendra Manurung, Betty Purwandari, Yudho Giri Sucahyo, Daniel Zeman and Adila Alfa Krisnadhi and has published in prestigious journals such as Journal of Computer Science, Journal of Computers and International Journal of Innovation and Learning.

In The Last Decade

Ika Alfina

21 papers receiving 292 citations

Peers

Ika Alfina
Despoina Antonakaki Greece
Endang Wahyu Pamungkas Indonesia
Montse Cuadros Spain
Fariza Fauzi Malaysia
Carlo Aliprandi Italy
Sander Wubben Netherlands
José M. Perea‐Ortega Spain
Vanda Broughton United Kingdom
Renato Rocha Souza Brazil
Arlene G. Taylor United States
Despoina Antonakaki Greece
Ika Alfina
Citations per year, relative to Ika Alfina Ika Alfina (= 1×) peers Despoina Antonakaki

Countries citing papers authored by Ika Alfina

Since Specialization
Citations

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

Fields of papers citing papers by Ika Alfina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ika Alfina

This figure shows the co-authorship network connecting the top 25 collaborators of Ika Alfina. A scholar is included among the top collaborators of Ika Alfina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ika Alfina. Ika Alfina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Alfina, Ika, et al.. (2022). A Gold Standard Dataset for Javanese Tokenization, POS Tagging, Morphological Feature Tagging, and Dependency Parsing. Forum for Linguistic Studies. 6(5). 131–148.
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Alfina, Ika, et al.. (2022). Building Indonesian Dependency Parser Using Cross-lingual Transfer Learning. abs 1611 1734. 488–493. 1 indexed citations
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Alfina, Ika, et al.. (2021). A Hybrid of Rule-based and HMM-based Part-of-Speech Tagger for Indonesian. 280–285. 3 indexed citations
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Alfina, Ika, et al.. (2020). Aksara: An Indonesian Morphological Analyzer that Conforms to the UD v2 Annotation Guidelines. 6. 86–91. 5 indexed citations
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Alfina, Ika, Indra Budi, & Heru Suhartanto. (2020). Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases. Journal of Computer Science. 16(11). 1585–1597. 2 indexed citations
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Alfina, Ika, et al.. (2020). Adjusting Indonesian Multiword Expression Annotation to the Penn Treebank Format. 8. 75–80. 1 indexed citations
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Alfina, Ika, et al.. (2020). Selecting the UD v2 Morphological Features for Indonesian Dependency Treebank. 100 ccis. 104–109. 5 indexed citations
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Alfina, Ika, et al.. (2019). Converting an Indonesian Constituency Treebank to the Penn Treebank Format. 331–336. 3 indexed citations
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Alfina, Ika, et al.. (2019). A gold standard dependency treebank for Indonesian. Waseda University Repository (Waseda University). 7 indexed citations
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Alfina, Ika, et al.. (2017). Hate speech detection in the Indonesian language: A dataset and preliminary study. 233–238. 149 indexed citations
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Alfina, Ika, et al.. (2017). E-Service Quality Evaluation on E-Government Website: Case Study BPJS Kesehatan Indonesia. Journal of Physics Conference Series. 801. 12036–12036. 17 indexed citations
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Alfina, Ika, Hendra Manurung, & Mohamad Ivan Fanany. (2016). DBpedia entities expansion in automatically building dataset for Indonesian NER. 335–340. 10 indexed citations
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Hidayanto, Achmad Nizar, et al.. (2015). Framework for selecting cloud deployment model in government institutions using BCOR, entropy and TOPSIS approach. International Journal of Innovation and Learning. 18(1). 81–81. 3 indexed citations
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Alfina, Ika, et al.. (2014). THE IMPACT OF COGNITIVE TRUST AND E-WOM ON PURCHASE INTENTION IN C2C E-COMMERCE SITE. Journal of Computer Science. 10(12). 2518–2524. 31 indexed citations
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Alfina, Ika, et al.. (2014). Quality evaluation of airline's e-commerce website, a case study of AirAsia and Lion Air websites. 49. 125–128. 3 indexed citations
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Hidayanto, Achmad Nizar, et al.. (2013). Knowledge Sharing Perception: Multiple Case Studies in Indonesian IT Consulting Companies. Journal of Computers. 8(10). 2 indexed citations

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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