Friska Natalia

74 total papers · 410 total citations
48 papers, 262 citations indexed

About

Friska Natalia is a scholar working on Information Systems, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Friska Natalia has authored 48 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 11 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Friska Natalia's work include Medical Imaging and Analysis (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Data Mining and Machine Learning Applications (7 papers). Friska Natalia is often cited by papers focused on Medical Imaging and Analysis (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Data Mining and Machine Learning Applications (7 papers). Friska Natalia collaborates with scholars based in Indonesia, United Kingdom and South Korea. Friska Natalia's co-authors include Sud Sudirman, Hira Meidia, Mohammed Al-Jumaily, Dhiya Al‐Jumeily, Ali Sophian, Abir Hussain, Chang Seong Ko, Panos Liatsis, Yustus Eko Oktian and Andrew Simpson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Friska Natalia

40 papers receiving 250 citations

Author Peers

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

Author						Papers	Cites
Friska Natalia	124	90	37	35	33	48	262
Kailun Wu	22 0.2×	43 0.5×	129 3.5×	7 0.2×	47 1.4×	29	321
Carlo Dindorf	48 0.4×	8 0.1×	28 0.8×	26 0.7×	47 1.4×	35	208
Gheorghe-Daniel Voinea	24 0.2×	8 0.1×	18 0.5×	16 0.5×	11 0.3×	17	205
Chengzhi Jiang	26 0.2×	34 0.4×	4 0.1×	3 0.1×	47 1.4×	60	288
Branesh M. Pillai	70 0.6×	14 0.2×	40 1.1×	2 0.1×	22 0.7×	42	241
Gaoxiang Xu	29 0.2×	21 0.2×	164 4.4×	12 0.3×	26 0.8×	32	289
Ramya Ramakrishnan	7 0.1×	33 0.4×	28 0.8×	8 0.2×	54 1.6×	36	298
Cheng‐Hung Chuang	35 0.3×	15 0.2×	18 0.5×	3 0.1×	52 1.6×	33	281
Wei Du	10 0.1×	11 0.1×	6 0.2×	22 0.6×	64 1.9×	23	185
Qiqi He	39 0.3×	6 0.1×	24 0.6×	3 0.1×	77 2.3×	23	302

Countries citing papers authored by Friska Natalia

Since Specialization

Citations

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

Fields of papers citing papers by Friska Natalia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friska Natalia

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