Napa Sae-Bae

33 total papers · 897 total citations
23 papers, 626 citations indexed

About

Napa Sae-Bae is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Napa Sae-Bae has authored 23 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Napa Sae-Bae's work include Biometric Identification and Security (11 papers), User Authentication and Security Systems (11 papers) and Handwritten Text Recognition Techniques (4 papers). Napa Sae-Bae is often cited by papers focused on Biometric Identification and Security (11 papers), User Authentication and Security Systems (11 papers) and Handwritten Text Recognition Techniques (4 papers). Napa Sae-Bae collaborates with scholars based in Thailand, United States and United Arab Emirates. Napa Sae-Bae's co-authors include Nasir Memon, Katherine Isbister, Hüsrev Taha Sencar, Pitikhate Sooraksa, Q. M. Jonathan Wu, Janusz Konrad, Prakash Ishwar and Markus Jakobsson and has published in prestigious journals such as PLoS ONE, Pattern Recognition and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Napa Sae-Bae

20 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Napa Sae-Bae 423 364 245 217 95 23 626
Marcos Martinez‐Diaz 344 0.8× 389 1.1× 402 1.6× 92 0.4× 94 1.0× 24 611
Lee Luan Ling 335 0.8× 373 1.0× 170 0.7× 102 0.5× 97 1.0× 48 573
Abdul Serwadda 515 1.2× 445 1.2× 177 0.7× 162 0.7× 83 0.9× 43 737
Patrick Bours 620 1.5× 463 1.3× 145 0.6× 145 0.7× 142 1.5× 57 787
Kun Bai 484 1.1× 371 1.0× 160 0.7× 126 0.6× 213 2.2× 27 722
John V. Monaco 443 1.0× 331 0.9× 89 0.4× 123 0.6× 171 1.8× 41 625
Hamed Ketabdar 74 0.2× 210 0.6× 182 0.7× 189 0.9× 213 2.2× 38 556
Frederik Brudy 364 0.9× 282 0.8× 200 0.8× 441 2.0× 29 0.3× 23 763
Kiran S. Balagani 542 1.3× 470 1.3× 177 0.7× 115 0.5× 230 2.4× 17 786
Shuyang Lin 277 0.7× 71 0.2× 115 0.5× 90 0.4× 244 2.6× 28 655

Countries citing papers authored by Napa Sae-Bae

Since Specialization
Citations

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

Fields of papers citing papers by Napa Sae-Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Napa Sae-Bae. 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 Napa Sae-Bae. The network helps show where Napa Sae-Bae may publish in the future.

Co-authorship network of co-authors of Napa Sae-Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Napa Sae-Bae. A scholar is included among the top collaborators of Napa Sae-Bae 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 Napa Sae-Bae. Napa Sae-Bae 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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