Surya Sumpeno

638 citations
104 papers · 434 indexed · h-index 12
Topics
Edcuational Technology Systems (23 papers)Data Mining and Machine Learning Applications (15 papers)Augmented Reality Applications (12 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsScientometrics
Partner nations
IndonesiaJapanChina

In The Last Decade

Surya Sumpeno

93 papers receiving 414 citations

Peers

Surya Sumpeno
Comparison fields: 5 of 95
  • Artificial Intelligence 173
  • Information Systems 132
  • Computer Vision and Pattern Recognition 84
  • Human-Computer Interaction 55
  • Electrical and Electronic Engineering 27
Replace Marco Romano with:
Marco Romano Italy
David Alonso-Ríos Spain
Eduardo Mosqueira-Rey Spain
Wenxi Wang China
Frédéric Andrès Japan
Dimitrios Tsolis Greece
Mads Haahr Ireland
Shivani Kapania United States
Ekaterina Olshannikova Finland
Matthias Hemmje Germany
Surya Sumpeno relative to Marco Romano Italy Marco Romano's profile →
Citations per field
00.5×2.9×
Marco Romano · 1×
Citations per year

Countries citing papers authored by Surya Sumpeno

Since Specialization
Citations

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

Fields of papers citing papers by Surya Sumpeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surya Sumpeno

This figure shows the co-authorship network connecting the top 25 collaborators of Surya Sumpeno. A scholar is included among the top collaborators of Surya Sumpeno 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 Surya Sumpeno. Surya Sumpeno 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
#WorkIndexed citations
1 0
2 1
3 19
4 3
5 0
6 2
7 18
8 1
9 8
10 4
11 3
12 1
13
Interaksi pada Museum Virtual Menggunakan Pengindera Tangan dengan Penyajian Stereoscopic 3D
2
14
Sistem Deteksi Kejernihan Video pada Televisi Analog Berbasis Pengolahan Sinyal Cvbs dan Pendekatan Mos Vqs
1
15 6
16 9
17 5
18 1
19 2
20 2

About Surya Sumpeno

Surya Sumpeno is a scholar working on Human-Computer Interaction, Information Systems and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 434 indexed citations. Recurring topics across this work include Edcuational Technology Systems (23 papers), Data Mining and Machine Learning Applications (15 papers) and Augmented Reality Applications (12 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Information Systems (132 citations) and Artificial Intelligence (173 citations). Surya Sumpeno has collaborated with scholars based in Indonesia, Japan and China. Frequent co-authors include Mauridhi Hery Purnomo, Adhi Dharma Wibawa, Mochamad Hariadi, I Ketut Eddy Purnama, Diana Purwitasari, Joan Santoso, Supeno Mardi Susiki Nugroho, Chastine Fatichah, Eko Mulyanto Yuniarno and Wiwik Anggraeni. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Scientometrics.

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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