Nur Ibrahim

43 papers receiving 307 citations

Peers

Nur Ibrahim
Comparison fields: 5 of 100
  • Information Systems and Management 35
  • Surfaces, Coatings and Films 18
  • Artificial Intelligence 74
  • Water Science and Technology 32
  • Business and International Management 4
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Rong Jia China
Shuai Jin China
Xianmin Liu China
Zahid Nawaz Pakistan
Divya Mittal India
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Citations per year

Countries citing papers authored by Nur Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Nur Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Nur Ibrahim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nur Ibrahim Line = papers co-authored together Nur Ibrahim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 202065
3 202346
4 202112
5 20219
6 20187
7 20207
8 20227
9 20236
10 20216
11 20226
12 20226
13 20206
14 20234
15 20194
16 20214
17 20214
18 20244
19
KLASIFIKASI JENIS KULIT WAJAH MENGGUNAKAN METODE DISCRETE WAVELET TRANSFORM DAN BACKPROPAGATION
20193
20 20203

About Nur Ibrahim

Nur Ibrahim is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Food Science and Aerospace Engineering, having authored 54 papers that have together received 327 indexed citations. Recurring topics across this work include Computer Science and Engineering (11 papers), Data Mining and Machine Learning Applications (10 papers), Food and Agricultural Sciences (6 papers), Spectroscopy and Chemometric Analyses (4 papers), Technology Adoption and User Behaviour (4 papers), Blockchain Technology in Education and Learning (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Information Systems and Management (35 citations), Surfaces, Coatings and Films (18 citations), Artificial Intelligence (74 citations), Water Science and Technology (32 citations) and Business and International Management (4 citations). Nur Ibrahim has collaborated with scholars based in Indonesia, Malaysia and South Korea. Frequent co-authors include Suresh K. Bhatia, Sumathi Sethupathi, Abdul Latif Ahmad, Yunendah Nur Fuadah, Benyamin Kusumoputro, Syamsul Rizal, Ledya Novamizanti, Muhammad Khusairi Osman, Sharifah Hanis Yasmin Sayid Abdullah and Inung Wijayanto. Their work appears in journals such as Information Technology and People, IEEE Access, International Journal of Information and Learning Technology, Technology in Society and Heliyon.

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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