Handri Santoso

119 total papers · 400 total citations
65 papers, 261 citations indexed

About

Handri Santoso is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Handri Santoso has authored 65 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 18 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Handri Santoso's work include Data Mining and Machine Learning Applications (10 papers), Information Retrieval and Data Mining (8 papers) and Edcuational Technology Systems (7 papers). Handri Santoso is often cited by papers focused on Data Mining and Machine Learning Applications (10 papers), Information Retrieval and Data Mining (8 papers) and Edcuational Technology Systems (7 papers). Handri Santoso collaborates with scholars based in Indonesia, Japan and Switzerland. Handri Santoso's co-authors include Djarot Hindarto, Shusaku Nomura, Kazuo Nakamura, Yoshimi Fukumura, Kuniaki Yajima, Nobuyuki Ogawa, Richardus Eko Indrajit, H. Honda, Michael Michael and Yasuo Kudo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Social Robotics and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Handri Santoso

55 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
Handri Santoso	53	47	34	27	26	65	261
Andi Wahju Rahardjo Emanuel	76 1.4×	59 1.3×	44 1.3×	29 1.1×	33 1.3×	73	326
Aslina Baharum	54 1.0×	56 1.2×	20 0.6×	32 1.2×	15 0.6×	61	318
Chandrasekar Vuppalapati	47 0.9×	47 1.0×	19 0.6×	38 1.4×	34 1.3×	35	221
Leila Jamel	45 0.8×	62 1.3×	12 0.4×	33 1.2×	39 1.5×	29	321
Mary Jane C. Samonte	53 1.0×	84 1.8×	18 0.5×	34 1.3×	21 0.8×	111	316
Sumitra Nuanmeesri	50 0.9×	41 0.9×	46 1.4×	63 2.3×	11 0.4×	45	288
Jyoti Agarwal	55 1.0×	81 1.7×	16 0.5×	22 0.8×	27 1.0×	35	246
Betim Çiço	82 1.5×	74 1.6×	12 0.4×	49 1.8×	44 1.7×	69	298
J. Jayanthi	44 0.8×	75 1.6×	24 0.7×	45 1.7×	34 1.3×	62	296
Dania Eridani	82 1.5×	64 1.4×	28 0.8×	19 0.7×	89 3.4×	48	302

Countries citing papers authored by Handri Santoso

Since Specialization

Citations

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

Fields of papers citing papers by Handri Santoso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Handri Santoso

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