Rippi Maya

47 total papers · 406 total citations
38 papers, 265 citations indexed

About

Rippi Maya is a scholar working on Education, Applied Mathematics and Information Systems. According to data from OpenAlex, Rippi Maya has authored 38 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Education, 35 papers in Applied Mathematics and 4 papers in Information Systems. Recurrent topics in Rippi Maya's work include Mathematics Education and Pedagogy (35 papers), STEM Education (33 papers) and Educational Methods and Outcomes (8 papers). Rippi Maya is often cited by papers focused on Mathematics Education and Pedagogy (35 papers), STEM Education (33 papers) and Educational Methods and Outcomes (8 papers). Rippi Maya collaborates with scholars based in Indonesia and Singapore. Rippi Maya's co-authors include Utari Sumarmo, Wahyu Hidayat, Wahyu Setiawan, Risma Amelia, Isnaeni Isnaeni, Usman Aripin, Ratna Sariningsih, Nuraeni Nuraeni, Heris Hendriana and Euis Eti Rohaeti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal on Mathematics Education and Journal of Physics Conference Series.

In The Last Decade

Rippi Maya

32 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Rippi Maya 253 228 45 13 7 38 265
Gida Kadarisma 259 1.0× 184 0.8× 70 1.6× 8 0.6× 6 0.9× 35 279
Sukirwan Sukirwan 230 0.9× 199 0.9× 47 1.0× 4 0.3× 4 0.6× 43 276
Syamsuri Syamsuri 242 1.0× 139 0.6× 65 1.4× 9 0.7× 7 1.0× 92 262
Mokhammad Ridwan Yudhanegara 243 1.0× 191 0.8× 85 1.9× 11 0.8× 7 1.0× 23 278
Moh Zayyadi 256 1.0× 187 0.8× 79 1.8× 12 0.9× 7 1.0× 43 286
E. Elvis Napitupulu 291 1.2× 211 0.9× 47 1.0× 14 1.1× 6 0.9× 40 302
Saleh Haji 227 0.9× 190 0.8× 43 1.0× 14 1.1× 2 0.3× 62 244
Farida Nursyahidah 243 1.0× 203 0.9× 41 0.9× 31 2.4× 10 1.4× 68 268
Muhammad Daut Siagian 275 1.1× 220 1.0× 93 2.1× 9 0.7× 7 1.0× 22 317
Jayanti Putri Purwaningrum 204 0.8× 141 0.6× 61 1.4× 7 0.5× 3 0.4× 65 225

Countries citing papers authored by Rippi Maya

Since Specialization
Citations

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

Fields of papers citing papers by Rippi Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rippi Maya

This figure shows the co-authorship network connecting the top 25 collaborators of Rippi Maya. A scholar is included among the top collaborators of Rippi Maya 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 Rippi Maya. Rippi Maya 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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