Pitoyo Hartono

129 total papers · 650 total citations
74 papers, 390 citations indexed

About

Pitoyo Hartono is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pitoyo Hartono has authored 74 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Pitoyo Hartono's work include Neural Networks and Applications (29 papers), Face and Expression Recognition (11 papers) and Reinforcement Learning in Robotics (9 papers). Pitoyo Hartono is often cited by papers focused on Neural Networks and Applications (29 papers), Face and Expression Recognition (11 papers) and Reinforcement Learning in Robotics (9 papers). Pitoyo Hartono collaborates with scholars based in Japan, Slovakia and Canada. Pitoyo Hartono's co-authors include Shuji Hashimoto, Thomas Trappenberg, Peter Sinčák, Mattias Wahde, Hideyuki Sawada, Kenji Suzuki, Ján Vaščák, Jun-ichi Abe, Kôichi Yokosawa and Shingo Nakamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Psychology.

In The Last Decade

Pitoyo Hartono

66 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Pitoyo Hartono	183	106	63	38	36	74	390
Lei Cao	115 0.6×	79 0.7×	65 1.0×	24 0.6×	16 0.4×	52	419
Qiang He	167 0.9×	79 0.7×	27 0.4×	15 0.4×	21 0.6×	39	406
Kang Li	166 0.9×	91 0.9×	19 0.3×	30 0.8×	20 0.6×	45	379
Wang	69 0.4×	202 1.9×	27 0.4×	15 0.4×	23 0.6×	107	412
S. Valarmathy	105 0.6×	110 1.0×	18 0.3×	32 0.8×	13 0.4×	50	417
M. Srinivas	151 0.8×	43 0.4×	39 0.6×	23 0.6×	11 0.3×	47	431
Wenju Zhou	111 0.6×	159 1.5×	51 0.8×	30 0.8×	11 0.3×	71	427
Poonam Sharma	106 0.6×	161 1.5×	18 0.3×	24 0.6×	40 1.1×	49	440
Dong‐Hyun Lee	124 0.7×	171 1.6×	44 0.7×	20 0.5×	10 0.3×	56	441
Liping Yang	123 0.7×	125 1.2×	26 0.4×	21 0.6×	12 0.3×	73	432

Countries citing papers authored by Pitoyo Hartono

Since Specialization

Citations

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

Fields of papers citing papers by Pitoyo Hartono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pitoyo Hartono

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