Rika Rosnelly

119 total papers · 458 total citations
73 papers, 250 citations indexed

About

Rika Rosnelly is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rika Rosnelly has authored 73 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Information Systems, 50 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rika Rosnelly's work include Edcuational Technology Systems (34 papers), Data Mining and Machine Learning Applications (27 papers) and Multimedia Learning Systems (22 papers). Rika Rosnelly is often cited by papers focused on Edcuational Technology Systems (34 papers), Data Mining and Machine Learning Applications (27 papers) and Multimedia Learning Systems (22 papers). Rika Rosnelly collaborates with scholars based in Indonesia, Japan and Malaysia. Rika Rosnelly's co-authors include Teddy Surya Gunawan, Mira Kartiwi, Zuriati Janin, Hartono Hartono, Muhammad Zarlis, Retantyo Wardoyo, Sandy Kosasi, B. Herawan Hayadi, Sri Hartati and Robbi Rahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, TELKOMNIKA (Telecommunication Computing Electronics and Control) and TEM Journal.

In The Last Decade

Rika Rosnelly

47 papers receiving 196 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rika Rosnelly 125 110 44 19 13 73 250
Rd. Rohmat Saedudin 98 0.8× 123 1.1× 22 0.5× 32 1.7× 9 0.7× 74 325
Chutiporn Anutariya 121 1.0× 181 1.6× 22 0.5× 34 1.8× 16 1.2× 65 322
Alicia Martínez 93 0.7× 106 1.0× 26 0.6× 41 2.2× 13 1.0× 62 303
Faisal Dharma Adhinata 95 0.8× 92 0.8× 72 1.6× 7 0.4× 8 0.6× 69 323
Afrig Aminuddin 62 0.5× 65 0.6× 75 1.7× 9 0.5× 9 0.7× 66 267
Irving Vitra Paputungan 164 1.3× 72 0.7× 30 0.7× 20 1.1× 3 0.2× 50 305
Shahanawaj Ahamad 83 0.7× 61 0.6× 28 0.6× 13 0.7× 30 2.3× 45 272
Handri Santoso 53 0.4× 47 0.4× 27 0.6× 13 0.7× 6 0.5× 65 261
Saiful Akbar 84 0.7× 107 1.0× 64 1.5× 10 0.5× 7 0.5× 85 293
Ahmad Zainul Fanani 69 0.6× 113 1.0× 56 1.3× 4 0.2× 5 0.4× 63 292

Countries citing papers authored by Rika Rosnelly

Since Specialization
Citations

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

Fields of papers citing papers by Rika Rosnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Rosnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Rosnelly. A scholar is included among the top collaborators of Rika Rosnelly 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 Rika Rosnelly. Rika Rosnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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