Nurbaity Sabri

71 total papers · 614 total citations
42 papers, 412 citations indexed

About

Nurbaity Sabri is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Analytical Chemistry. According to data from OpenAlex, Nurbaity Sabri has authored 42 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Plant Science and 8 papers in Analytical Chemistry. Recurrent topics in Nurbaity Sabri's work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Smart Systems and Machine Learning (3 papers). Nurbaity Sabri is often cited by papers focused on Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Smart Systems and Machine Learning (3 papers). Nurbaity Sabri collaborates with scholars based in Malaysia, United States and Russia. Nurbaity Sabri's co-authors include Zaidah Ibrahim, Dino Isa, Shafaf Ibrahim, Khyrina Airin Fariza Abu Samah, Haza Nuzly Abdull Hamed, Mohd Adham Isa, Nursuriati Jamil, Norizan Mat Diah and Sharifah Kamilah Syed Yusof and has published in prestigious journals such as Journal of King Saud University - Computer and Information Sciences, Computers, materials & continua/Computers, materials & continua (Print) and Indonesian Journal of Electrical Engineering and Computer Science.

In The Last Decade

Nurbaity Sabri

39 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Nurbaity Sabri 172 74 65 57 51 42 412
Peng Wan 154 0.9× 98 1.3× 45 0.7× 24 0.4× 64 1.3× 42 477
Shanu Sharma 126 0.7× 59 0.8× 127 2.0× 18 0.3× 36 0.7× 37 369
S. N. Geethalakshmi 108 0.6× 57 0.8× 37 0.6× 30 0.5× 34 0.7× 40 412
Rahul Singh 145 0.8× 32 0.4× 53 0.8× 76 1.3× 57 1.1× 48 483
Vishal Meshram 202 1.2× 67 0.9× 55 0.8× 49 0.9× 21 0.4× 19 417
Samreen Naeem 128 0.7× 97 1.3× 38 0.6× 10 0.2× 92 1.8× 26 421
Utpal Barman 324 1.9× 135 1.8× 22 0.3× 66 1.2× 33 0.6× 28 464
Yiqi Huang 158 0.9× 81 1.1× 69 1.1× 85 1.5× 23 0.5× 35 420
Md. Mehedi Hasan 189 1.1× 77 1.0× 48 0.7× 87 1.5× 22 0.4× 53 406
Yu Hwan Kim 67 0.4× 18 0.2× 115 1.8× 30 0.5× 31 0.6× 22 441

Countries citing papers authored by Nurbaity Sabri

Since Specialization
Citations

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

Fields of papers citing papers by Nurbaity Sabri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nurbaity Sabri

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