Rachma Wikandari

72 total papers · 1.5k total citations
48 papers, 980 citations indexed

About

Rachma Wikandari is a scholar working on Food Science, Molecular Biology and Building and Construction. According to data from OpenAlex, Rachma Wikandari has authored 48 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Food Science, 12 papers in Molecular Biology and 12 papers in Building and Construction. Recurrent topics in Rachma Wikandari's work include Anaerobic Digestion and Biogas Production (12 papers), Probiotics and Fermented Foods (11 papers) and Biofuel production and bioconversion (10 papers). Rachma Wikandari is often cited by papers focused on Anaerobic Digestion and Biogas Production (12 papers), Probiotics and Fermented Foods (11 papers) and Biofuel production and bioconversion (10 papers). Rachma Wikandari collaborates with scholars based in Indonesia, Sweden and Germany. Rachma Wikandari's co-authors include Mohammad J. Taherzadeh, Ria Millati, Claes Niklasson, Teguh Ariyanto, Muhammad Nur Cahyanto, Endang Sutriswati Rahayu, Steven Wainaina, Tyas Utami, Andriati Ningrum and Lukitawesa Lukitawesa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Molecules.

In The Last Decade

Rachma Wikandari

44 papers receiving 960 citations

Author Peers

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

Author						Papers	Cites
Rachma Wikandari	406	338	299	237	121	48	980
Ziyuan Xia	346 0.9×	471 1.4×	243 0.8×	195 0.8×	80 0.7×	71	1.1k
E.L. Iannotti	307 0.8×	357 1.1×	227 0.8×	157 0.7×	49 0.4×	38	907
Maria R. Kosseva	294 0.7×	294 0.9×	270 0.9×	315 1.3×	57 0.5×	28	1.1k
Malik Badshah	452 1.1×	323 1.0×	252 0.8×	90 0.4×	170 1.4×	81	1.2k
Magnus Lundin	467 1.2×	254 0.8×	495 1.7×	231 1.0×	97 0.8×	35	1.2k
Jean‐Charles Motte	316 0.8×	237 0.7×	347 1.2×	148 0.6×	232 1.9×	32	898
Kedong Ma	471 1.2×	480 1.4×	184 0.6×	100 0.4×	88 0.7×	40	1.1k
Wanna Choorit	445 1.1×	361 1.1×	280 0.9×	76 0.3×	78 0.6×	44	1.1k
Krishna Nand	379 0.9×	328 1.0×	262 0.9×	203 0.9×	227 1.9×	37	909
Chi Cheng	568 1.4×	597 1.8×	223 0.7×	93 0.4×	173 1.4×	49	1.2k

Countries citing papers authored by Rachma Wikandari

Since Specialization

Citations

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

Fields of papers citing papers by Rachma Wikandari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachma Wikandari

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