Countries citing papers authored by Eko Supriyanto
Since
Specialization
Citations
This map shows the geographic impact of Eko Supriyanto'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 Eko Supriyanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eko Supriyanto more than expected).
This network shows the impact of papers produced by Eko Supriyanto. 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 Eko Supriyanto. The network helps show where Eko Supriyanto may publish in the future.
Co-authorship network of co-authors of Eko Supriyanto
This figure shows the co-authorship network connecting the top 25 collaborators of Eko Supriyanto.
A scholar is included among the top collaborators of Eko Supriyanto 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 Eko Supriyanto. Eko Supriyanto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Supriyanto, Eko, et al.. (2017). An investigation of mixing in micro coiled flow inverter in varying tube diameter with fixed reynolds number. 12. 83–90.
7.
Ismail, Kamariah, et al.. (2016). Simulation of refinery-supplier relationship. International MultiConference of Engineers and Computer Scientists.1 indexed citations
Supriyanto, Eko, et al.. (2015). PENGELOLAAN AKREDITASI SEKOLAH (STUDI SITUS SD NEGERI 2 MRANTI KECAMATAN PURWOREJO KABUPATEN PURWOREJO). SHILAP Revista de lepidopterología.1 indexed citations
10.
Supriyanto, Eko, et al.. (2015). PENGELOLAAN PEMBELAJARAN SIKAP DEMOKRATIS DI SMP MUHAMMADIYAH 1 KARTASURA. SHILAP Revista de lepidopterología.4 indexed citations
11.
Supriyanto, Eko, et al.. (2015). Architecture for clinical decision support system (CDSS) using high risk pregnancy ontology. ARPN Journal of Engineering and Applied Sciences. 10(3). 1229–1237.5 indexed citations
Lai, Khin Wee, Yan Chai Hum, & Eko Supriyanto. (2012). Three dimensional nuchal translucency assessment using magnetic resonance reconstruction imaging. Journal of Scientific & Industrial Research. 71(3). 187–194.1 indexed citations
14.
Supriyanto, Eko, et al.. (2011). SPICE modeling of hybrid multi-frequency ultrasound transducer. International Conference on System Science and Simulation in Engineering. 106–111.1 indexed citations
15.
Supriyanto, Eko, et al.. (2011). Segmentation of carotid artery wall towards early detection of alzheimer disease. Annual Conference on Computers. 201–206.6 indexed citations
16.
Supriyanto, Eko, et al.. (2011). Ultrasound pancreas segmentation: a new approach towards detection of diabetes mellitus. Annual Conference on Computers. 184–188.3 indexed citations
17.
Supriyanto, Eko, et al.. (2011). Segmentation of prostate tumor for gamma image using region growing method. Annual Conference on Computers. 189–194.3 indexed citations
18.
Hum, Yan Chai, Khin Wee Lai, & Eko Supriyanto. (2011). Edge detection in ultrasound images using speckle reducing anisotropic diffusion in canny edge detector framework. International Conference on Systems. 226–231.11 indexed citations
19.
Supriyanto, Eko, et al.. (2011). Automatic non invasive kidney volume measurement based on ultrasound image. Annual Conference on Computers. 387–392.9 indexed citations
20.
Lai, Khin Wee, et al.. (2010). Automated trisomy 21 assessment based on maternal serum markers using trivariate lognormal distribution. WSEAS TRANSACTIONS on SYSTEMS archive. 9(8). 844–853.2 indexed citations
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.