Rita Rahmawati

240 total papers · 548 total citations
135 papers, 288 citations indexed

About

Rita Rahmawati is a scholar working on Strategy and Management, Economics and Econometrics and Information Systems. According to data from OpenAlex, Rita Rahmawati has authored 135 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Strategy and Management, 32 papers in Economics and Econometrics and 31 papers in Information Systems. Recurrent topics in Rita Rahmawati's work include Management and Optimization Techniques (35 papers), Economic Growth and Fiscal Policies (31 papers) and Data Mining and Machine Learning Applications (24 papers). Rita Rahmawati is often cited by papers focused on Management and Optimization Techniques (35 papers), Economic Growth and Fiscal Policies (31 papers) and Data Mining and Machine Learning Applications (24 papers). Rita Rahmawati collaborates with scholars based in Indonesia, Malaysia and United States. Rita Rahmawati's co-authors include Hasbi Yasin, Abdul Hoyyi, Agus Rusgiyono, Alan Prahutama, Sugito Sugito, Dessi Puji Lestari, Mustafid Mustafid, Suwanto Suwanto, Agung Budi Santoso and Sudarno Sudarno and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Antimicrobial Agents and Journal of Physics Conference Series.

In The Last Decade

Rita Rahmawati

94 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
Rita Rahmawati	82	51	48	47	40	135	288
Sri Ningsih	83 1.0×	25 0.5×	31 0.6×	17 0.4×	38 0.9×	51	233
Fadli Fadli	34 0.4×	30 0.6×	29 0.6×	28 0.6×	15 0.4×	83	241
Abdul Hoyyi	94 1.1×	58 1.1×	18 0.4×	53 1.1×	33 0.8×	92	256
Lukman Lukman	56 0.7×	59 1.2×	55 1.1×	24 0.5×	15 0.4×	67	295
Lusiana Lusiana	73 0.9×	12 0.2×	32 0.7×	39 0.8×	30 0.8×	136	264
Dwi Ispriyanti	112 1.4×	43 0.8×	23 0.5×	30 0.6×	68 1.7×	100	234
Iskandar Iskandar	59 0.7×	50 1.0×	89 1.9×	70 1.5×	18 0.5×	91	331
Supriyati Supriyati	67 0.8×	20 0.4×	72 1.5×	37 0.8×	8 0.2×	120	320
Agus Rusgiyono	67 0.8×	61 1.2×	9 0.2×	38 0.8×	33 0.8×	83	227
Purwadi Purwadi	118 1.4×	19 0.4×	44 0.9×	23 0.5×	40 1.0×	107	307

Countries citing papers authored by Rita Rahmawati

Since Specialization

Citations

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

Fields of papers citing papers by Rita Rahmawati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Rahmawati

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