Andre Guntoro

65 total papers · 778 total citations
40 papers, 401 citations indexed

About

Andre Guntoro is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andre Guntoro has authored 40 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Andre Guntoro's work include Advanced Neural Network Applications (17 papers), Advanced Memory and Neural Computing (15 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Andre Guntoro is often cited by papers focused on Advanced Neural Network Applications (17 papers), Advanced Memory and Neural Computing (15 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Andre Guntoro collaborates with scholars based in Germany, Belgium and Netherlands. Andre Guntoro's co-authors include Gerd Ascheid, Akash Kumar, Sebastian Vogel, Norbert Wehn, Thomas Kämpfe, Franz Müller, Walter Stechele, Maximilian Lederer, Tarek Ali and Manfred Glesner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and IEEE Micro.

In The Last Decade

Andre Guntoro

37 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Andre Guntoro 279 132 124 62 30 40 401
Mingyu Wang 188 0.7× 142 1.1× 80 0.6× 55 0.9× 19 0.6× 73 422
Shulin Zeng 182 0.7× 161 1.2× 129 1.0× 76 1.2× 16 0.5× 37 391
Yun Long 326 1.2× 107 0.8× 108 0.9× 41 0.7× 18 0.6× 27 399
Sohaib Majzoub 162 0.6× 71 0.5× 64 0.5× 59 1.0× 18 0.6× 54 363
Guohao Dai 194 0.7× 154 1.2× 152 1.2× 110 1.8× 15 0.5× 43 413
Yuxiang Fu 231 0.8× 44 0.3× 90 0.7× 54 0.9× 45 1.5× 66 356
Sayed Masoud Sayedi 225 0.8× 51 0.4× 56 0.5× 22 0.4× 15 0.5× 44 336
Haoran You 161 0.6× 199 1.5× 214 1.7× 46 0.7× 6 0.2× 23 423
Subhendu Kumar Sahoo 200 0.7× 104 0.8× 32 0.3× 42 0.7× 87 2.9× 48 412
Nicholas J. Fraser 198 0.7× 185 1.4× 138 1.1× 72 1.2× 22 0.7× 18 370

Countries citing papers authored by Andre Guntoro

Since Specialization
Citations

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

Fields of papers citing papers by Andre Guntoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andre Guntoro

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