Ari Wibisono

93 total papers · 573 total citations
60 papers, 416 citations indexed

About

Ari Wibisono is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Ari Wibisono has authored 60 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Building and Construction. Recurrent topics in Ari Wibisono's work include Traffic Prediction and Management Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers) and Data Stream Mining Techniques (8 papers). Ari Wibisono is often cited by papers focused on Traffic Prediction and Management Techniques (12 papers), Video Surveillance and Tracking Methods (8 papers) and Data Stream Mining Techniques (8 papers). Ari Wibisono collaborates with scholars based in Indonesia, Croatia and United Kingdom. Ari Wibisono's co-authors include Petrus Mursanto, Wisnu Jatmiko, Devvi Sarwinda, M. Anwar Ma’sum, Heru Suhartanto, Dwi Purnomo, Alberto, Anom Bowolaksono, Alhadi Bustamam and Doni Hikmat Ramdhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Journal Of Big Data.

In The Last Decade

Ari Wibisono

57 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
Ari Wibisono	133	100	90	56	48	60	416
Liping Zheng	240 1.8×	69 0.7×	37 0.4×	48 0.9×	18 0.4×	70	463
Mercedes Valdés-Vela	85 0.6×	82 0.8×	77 0.9×	44 0.8×	12 0.3×	26	456
Joy Dutta	45 0.3×	81 0.8×	48 0.5×	41 0.7×	95 2.0×	32	440
Michela Paolucci	74 0.6×	47 0.5×	87 1.0×	41 0.7×	31 0.6×	35	399
Billy Pik Lik Lau	96 0.7×	69 0.7×	43 0.5×	19 0.3×	18 0.4×	31	404
Carlos Ruiz	129 1.0×	96 1.0×	23 0.3×	47 0.8×	22 0.5×	42	398
Subrata Nandi	52 0.4×	56 0.6×	65 0.7×	38 0.7×	66 1.4×	85	475
Pranamesh Chakraborty	143 1.1×	119 1.2×	220 2.4×	92 1.6×	17 0.4×	24	450
İbrahim Kök	30 0.2×	103 1.0×	43 0.5×	46 0.8×	113 2.4×	32	390
Jing Yang	74 0.6×	152 1.5×	21 0.2×	42 0.8×	34 0.7×	35	428

Countries citing papers authored by Ari Wibisono

Since Specialization

Citations

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

Fields of papers citing papers by Ari Wibisono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ari Wibisono

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