Gede Putra Kusuma

918 citations
61 papers · 556 indexed · h-index 13
Topics
Face recognition and analysis (6 papers)IoT and Edge/Fog Computing (6 papers)Advanced Neural Network Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaImage and Vision ComputingNeural Computing and Applications
Partner nations
IndonesiaSingapore

In The Last Decade

Gede Putra Kusuma

52 papers receiving 496 citations

Peers

Gede Putra Kusuma
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 160
  • Developmental and Educational Psychology 154
  • Human-Computer Interaction 117
  • Information Systems 109
  • Artificial Intelligence 68
Replace Eric Richter with:
Eric Richter Germany
Wernhuar Tarng Taiwan
Yang Jiang China
Xiaodong Wei China
Herman Tolle Indonesia
Mohamad Nizam Bin Ayub Malaysia
Jan M. Allbeck United States
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Citations per field
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Citations per year

Countries citing papers authored by Gede Putra Kusuma

Since Specialization
Citations

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

Fields of papers citing papers by Gede Putra Kusuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gede Putra Kusuma. 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 Gede Putra Kusuma. The network helps show where Gede Putra Kusuma may publish in the future.

Co-authorship network of co-authors of Gede Putra Kusuma

This figure shows the co-authorship network connecting the top 25 collaborators of Gede Putra Kusuma. A scholar is included among the top collaborators of Gede Putra Kusuma 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 Gede Putra Kusuma. Gede Putra Kusuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Evaluation Of E-Government Use Among Civil Servants Using Unified Theory Of Acceptance And Use Of Technology Model – A Case Of Central Mamberamo Regency
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Predicting Indoor Position Using Bluetooth Low Energy And Machine Learning
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Minimizing Energy Consumption Of Image Data Offloading In Mobile Cloud Computing Application
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About Gede Putra Kusuma

Gede Putra Kusuma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 61 papers that have together received 556 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Developmental and Educational Psychology (154 citations) and Computer Vision and Pattern Recognition (160 citations). Gede Putra Kusuma has collaborated with scholars based in Indonesia and Singapore. Frequent co-authors include Suharjito Suharjito, Sani Muhamad Isa, Chin-Seng Chua, Tjeng Wawan Cenggoro, Bens Pardamean, Nico Surantha, Yaya Heryadi, Edi Abdurachman, Harco Leslie Hendric Spits Warnars and Jonathan Jonathan. Their work appears in journals such as SHILAP Revista de lepidopterología, Image and Vision Computing and Neural Computing and Applications.

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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