Rosa Delima

87 total papers · 454 total citations
58 papers, 298 citations indexed

About

Rosa Delima is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Rosa Delima has authored 58 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems, 18 papers in Artificial Intelligence and 9 papers in Management Information Systems. Recurrent topics in Rosa Delima's work include Information Retrieval and Data Mining (28 papers), Edcuational Technology Systems (13 papers) and Multimedia Learning Systems (9 papers). Rosa Delima is often cited by papers focused on Information Retrieval and Data Mining (28 papers), Edcuational Technology Systems (13 papers) and Multimedia Learning Systems (9 papers). Rosa Delima collaborates with scholars based in Indonesia, Thailand and China. Rosa Delima's co-authors include Khabib Mustofa, Retantyo Wardoyo, Lunchakorn Wuttisittikulkij, Nitthita Chirdchoo, Mitsunori Makino, Ahmad Ashari, Piya Kovintavewat, La-or Kovavisaruch, Muhammad Saadi and Kamol Kaemarungsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Advanced Computer Science and Applications and International Journal of Advanced Trends in Computer Science and Engineering.

In The Last Decade

Rosa Delima

49 papers receiving 273 citations

Author Peers

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

Author						Papers	Cites
Rosa Delima	206	78	38	35	35	58	298
Adi Supriyatna	267 1.3×	155 2.0×	65 1.7×	13 0.4×	35 1.0×	34	364
Joan Angelina Widians	217 1.1×	155 2.0×	59 1.6×	14 0.4×	21 0.6×	59	329
Lisnawita Lisnawita	155 0.8×	105 1.3×	24 0.6×	25 0.7×	26 0.7×	94	354
Handrie Noprisson	129 0.6×	113 1.4×	33 0.9×	21 0.6×	11 0.3×	67	345
Taufik Hidayat	224 1.1×	131 1.7×	63 1.7×	12 0.3×	44 1.3×	118	336
Septya Maharani	163 0.8×	116 1.5×	86 2.3×	9 0.3×	13 0.4×	56	269
Putu Bagus Adidyana Anugrah Putra	188 0.9×	97 1.2×	46 1.2×	8 0.2×	96 2.7×	25	302
I Nyoman Tri Anindia Putra	211 1.0×	90 1.2×	32 0.8×	5 0.1×	123 3.5×	53	290
Yusra Fernando	252 1.2×	192 2.5×	84 2.2×	8 0.2×	22 0.6×	35	338
Indah Fitri Astuti	237 1.2×	166 2.1×	90 2.4×	8 0.2×	35 1.0×	67	330

Countries citing papers authored by Rosa Delima

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Delima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Delima

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