Ali K. Ibrahim

683 total citations
36 papers, 484 citations indexed

About

Ali K. Ibrahim is a scholar working on Oceanography, Ecology and Signal Processing. According to data from OpenAlex, Ali K. Ibrahim has authored 36 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oceanography, 15 papers in Ecology and 7 papers in Signal Processing. Recurrent topics in Ali K. Ibrahim's work include Marine animal studies overview (15 papers), Underwater Acoustics Research (11 papers) and Marine and fisheries research (7 papers). Ali K. Ibrahim is often cited by papers focused on Marine animal studies overview (15 papers), Underwater Acoustics Research (11 papers) and Marine and fisheries research (7 papers). Ali K. Ibrahim collaborates with scholars based in United States, U.S. Virgin Islands and Puerto Rico. Ali K. Ibrahim's co-authors include Hanqi Zhuang, Ali Muhamed Ali, Laurent M. Chérubin, Nurgün Erdöl, Michelle Schärer‐Umpierre, Justin Wang, Fraser Dalgleish, Zhongwei Li, Richard S. Nemeth and Andrew Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Ecological Applications.

In The Last Decade

Ali K. Ibrahim

33 papers receiving 472 citations

Peers

Ali K. Ibrahim
Ali Muhamed Ali United States
Line Eikvil Norway
Naoko Kosaka Japan
Wenxian Yang China
Jenny A. Baglivo United States
Jörg Ontrup Germany
Michał Mackiewicz United Kingdom
Andreas Groth United States
Daniel Pérez United States
Yueting Zhang China
Ali Muhamed Ali United States
Ali K. Ibrahim
Citations per year, relative to Ali K. Ibrahim Ali K. Ibrahim (= 1×) peers Ali Muhamed Ali

Countries citing papers authored by Ali K. Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Ali K. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali K. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Ali K. Ibrahim. A scholar is included among the top collaborators of Ali K. Ibrahim 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 Ali K. Ibrahim. Ali K. Ibrahim 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
1.
Candelmo, Allison, Scott A. Heppell, Croy McCoy, et al.. (2025). Hydrophone placement yields high variability in detection of Epinephelus striatus calls at a spawning site. Ecological Applications. 35(5). e70081–e70081. 1 indexed citations
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Ibrahim, Ali K., Hanqi Zhuang, Michelle Schärer‐Umpierre, et al.. (2024). Fish Acoustic Detection Algorithm Research: a deep learning app for Caribbean grouper calls detection and call types classification. Frontiers in Marine Science. 11. 3 indexed citations
4.
Ibrahim, Ali K., et al.. (2024). Identification of Gene Expression in Different Stages of Breast Cancer with Machine Learning. Cancers. 16(10). 1864–1864. 7 indexed citations
5.
Ali, Ali Muhamed, et al.. (2024). Ocean Currents Velocity Hindcast and Forecast Bias Correction Using a Deep-Learning Approach. Journal of Marine Science and Engineering. 12(9). 1680–1680. 2 indexed citations
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Ibrahim, Ali K., et al.. (2023). Epileptic seizure prediction based on multiresolution convolutional neural networks. SHILAP Revista de lepidopterología. 3. 7 indexed citations
9.
Zhuang, Hanqi, et al.. (2023). Detection and localization of Goliath grouper using their low-frequency pulse sounds. The Journal of the Acoustical Society of America. 153(4). 2190–2190. 6 indexed citations
10.
Ali, Ali Muhamed, Hanqi Zhuang, Ali K. Ibrahim, Justin Wang, & Laurent M. Chérubin. (2022). Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data. Frontiers in Artificial Intelligence. 5. 923932–923932. 2 indexed citations
11.
Ibrahim, Ali K., et al.. (2021). Deep Learning for Drug Discovery: A Study of Identifying High Efficacy Drug Compounds Using a Cascade Transfer Learning Approach. Applied Sciences. 11(17). 7772–7772. 19 indexed citations
12.
Ali, Ali Muhamed, Hanqi Zhuang, James VanZwieten, Ali K. Ibrahim, & Laurent M. Chérubin. (2021). A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico. SHILAP Revista de lepidopterología. 3(4). 934–953. 6 indexed citations
13.
Brewster, Lauran R., et al.. (2021). Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag. Sensors. 21(19). 6392–6392. 5 indexed citations
14.
Wang, Justin, Hanqi Zhuang, Laurent M. Chérubin, Ali Muhamed Ali, & Ali K. Ibrahim. (2021). Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model. SHILAP Revista de lepidopterología. 3(3). 570–579. 7 indexed citations
15.
Wang, Justin, et al.. (2020). Segmentation of Intracranial Hemorrhage Using Semi-Supervised Multi-Task Attention-Based U-Net. Applied Sciences. 10(9). 3297–3297. 32 indexed citations
16.
Wang, Justin, Hanqi Zhuang, Laurent M. Chérubin, Ali K. Ibrahim, & Ali Muhamed Ali. (2019). Medium‐Term Forecasting of Loop Current Eddy Cameron and Eddy Darwin Formation in the Gulf of Mexico With a Divide‐and‐Conquer Machine Learning Approach. Journal of Geophysical Research Oceans. 124(8). 5586–5606. 22 indexed citations
17.
Rahman, Abdul, et al.. (2018). IMPLEMENTASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PELAYANAN PELANGGAN (CORPORATE) DIVISI BGES PADA PT TELKOM WITEL SUMSEL. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Ibrahim, Ali K., Hanqi Zhuang, Laurent M. Chérubin, Michelle Schärer‐Umpierre, & Nurgün Erdöl. (2018). Automatic classification of grouper species by their sounds using deep neural networks. The Journal of the Acoustical Society of America. 144(3). EL196–EL202. 50 indexed citations
19.
Ibrahim, Ali K., et al.. (2017). ANALISIS PENYARINGAN EMAIL SPAM MENGGUNAKAN METODE NAIVE BAYES. 3(1). 45–48. 2 indexed citations
20.
Asim, Muhammad, et al.. (2011). Cardiovascular Risk Assessment Among Potential Kidney Transplant Candidates and Perioperative Outcome: Analysis of 75 Consecutive Middle Eastern Patients. Transplantation Proceedings. 43(5). 1531–1536. 6 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.

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