Sugiri Pranata

34 total papers · 609 total citations
12 papers, 334 citations indexed

About

Sugiri Pranata is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sugiri Pranata has authored 12 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Sugiri Pranata's work include Face recognition and analysis (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Sugiri Pranata is often cited by papers focused on Face recognition and analysis (6 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Sugiri Pranata collaborates with scholars based in Singapore, China and Japan. Sugiri Pranata's co-authors include Shengmei Shen, Junliang Xing, Karlekar Jayashree, Lin Xiong, Jiashi Feng, Jian Zhao, Jianshu Li, Shuicheng Yan, Cheng Yu and Fang Zhao and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, EURASIP Journal on Advances in Signal Processing and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).

In The Last Decade

Sugiri Pranata

12 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Sugiri Pranata	286	94	61	17	16	12	334
Musiur Raza Abidi	215 0.8×	81 0.9×	96 1.6×	17 1.0×	24 1.5×	10	332
Anqi Yang	226 0.8×	161 1.7×	38 0.6×	16 0.9×	9 0.6×	13	317
Shengwei Zhao	314 1.1×	89 0.9×	102 1.7×	13 0.8×	25 1.6×	13	391
Jing Liu	150 0.5×	112 1.2×	78 1.3×	5 0.3×	30 1.9×	22	303
Amit Kumar	346 1.2×	112 1.2×	57 0.9×	11 0.6×	16 1.0×	16	390
Qi Cai	311 1.1×	56 0.6×	188 3.1×	7 0.4×	15 0.9×	16	374
Wen Wang	99 0.3×	93 1.0×	60 1.0×	13 0.8×	6 0.4×	9	296
Kha Gia Quach	290 1.0×	32 0.3×	52 0.9×	36 2.1×	59 3.7×	19	353
Ce Gao	188 0.7×	40 0.4×	56 0.9×	4 0.2×	31 1.9×	22	301
Pengfei Xu	191 0.7×	35 0.4×	107 1.8×	4 0.2×	8 0.5×	19	305

Countries citing papers authored by Sugiri Pranata

Since Specialization

Citations

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

Fields of papers citing papers by Sugiri Pranata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugiri Pranata

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