Ariel M. Sison

137 total papers · 740 total citations
105 papers, 467 citations indexed

About

Ariel M. Sison is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ariel M. Sison has authored 105 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 58 papers in Computer Vision and Pattern Recognition and 25 papers in Information Systems. Recurrent topics in Ariel M. Sison's work include Chaos-based Image/Signal Encryption (47 papers), Cryptographic Implementations and Security (37 papers) and Advanced Malware Detection Techniques (17 papers). Ariel M. Sison is often cited by papers focused on Chaos-based Image/Signal Encryption (47 papers), Cryptographic Implementations and Security (37 papers) and Advanced Malware Detection Techniques (17 papers). Ariel M. Sison collaborates with scholars based in Philippines and South Korea. Ariel M. Sison's co-authors include Ruji P. Medina, Alexander A. Hernandez, Yung-Cheol Byun, Bobby D. Gerardo, Arnel C. Fajardo and Daniel Daniel and has published in prestigious journals such as International Journal of Advanced Computer Science and Applications, International Journal on Advanced Science Engineering and Information Technology and International Journal of Modern Education and Computer Science.

In The Last Decade

Ariel M. Sison

93 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Ariel M. Sison	261	211	126	85	67	105	467
Magda B. Fayek	164 0.6×	153 0.7×	71 0.6×	74 0.9×	40 0.6×	54	420
Qigang Gao	265 1.0×	151 0.7×	95 0.8×	72 0.8×	45 0.7×	53	457
Yiqun Zhang	275 1.1×	143 0.7×	89 0.7×	51 0.6×	31 0.5×	54	414
Xiaoyao Zheng	240 0.9×	79 0.4×	212 1.7×	81 1.0×	45 0.7×	53	495
Riccardo Martoglia	208 0.8×	108 0.5×	89 0.7×	147 1.7×	90 1.3×	83	457
Uday Kulkarni	152 0.6×	241 1.1×	115 0.9×	48 0.6×	49 0.7×	62	511
B. Surendiran	307 1.2×	116 0.5×	114 0.9×	146 1.7×	86 1.3×	59	538
Jun He	243 0.9×	131 0.6×	210 1.7×	53 0.6×	46 0.7×	47	538
Fabio Persia	199 0.8×	186 0.9×	222 1.8×	156 1.8×	69 1.0×	63	544
Miguel R. Luaces	158 0.6×	150 0.7×	208 1.7×	130 1.5×	78 1.2×	57	502

Countries citing papers authored by Ariel M. Sison

Since Specialization

Citations

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

Fields of papers citing papers by Ariel M. Sison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel M. Sison. 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 Ariel M. Sison. The network helps show where Ariel M. Sison may publish in the future.

Co-authorship network of co-authors of Ariel M. Sison

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel M. Sison. A scholar is included among the top collaborators of Ariel M. Sison 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 Ariel M. Sison. Ariel M. Sison 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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