Angelika Maag

1.2k total citations · 1 hit paper
22 papers, 795 citations indexed

About

Angelika Maag is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Angelika Maag has authored 22 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Angelika Maag's work include Augmented Reality Applications (4 papers), Surgical Simulation and Training (3 papers) and IoT and Edge/Fog Computing (3 papers). Angelika Maag is often cited by papers focused on Augmented Reality Applications (4 papers), Surgical Simulation and Training (3 papers) and IoT and Edge/Fog Computing (3 papers). Angelika Maag collaborates with scholars based in Australia, Malaysia and Iraq. Angelika Maag's co-authors include Abeer Alsadoon, P. W. C. Prasad, Siong Hoe Lau, Amr Elchouemi, Hui Yang, Omar Hisham Alsadoon and Tarik A. Rashid and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Multimedia Tools and Applications.

In The Last Decade

Angelika Maag

21 papers receiving 759 citations

Hit Papers

Deep Learning for Aspect-Based Sentiment Analysis: A Comp... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
    2018 423 citations Angelika Maag, Abeer Alsadoon et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angelika Maag Australia 7 476 213 125 96 93 22 795
Maria Soledad Pera United States 15 423 0.9× 454 2.1× 71 0.6× 118 1.2× 101 1.1× 117 805
Séamus Lawless Ireland 11 250 0.5× 283 1.3× 210 1.7× 63 0.7× 90 1.0× 73 680
Nazlia Omar Malaysia 19 982 2.1× 392 1.8× 67 0.5× 75 0.8× 154 1.7× 134 1.3k
Denis Helić Austria 16 236 0.5× 316 1.5× 181 1.4× 133 1.4× 82 0.9× 124 881
Yohan Jo United States 12 745 1.6× 227 1.1× 165 1.3× 142 1.5× 60 0.6× 31 1.0k
Tongshuang Wu United States 17 608 1.3× 133 0.6× 73 0.6× 55 0.6× 42 0.5× 48 971
Jacqueline Bourdeau Canada 10 526 1.1× 419 2.0× 118 0.9× 120 1.3× 47 0.5× 37 923
Sean Wolfgand Matsui Siqueira Brazil 10 144 0.3× 161 0.8× 134 1.1× 85 0.9× 48 0.5× 120 425
Chhavi Rana India 12 227 0.5× 303 1.4× 101 0.8× 50 0.5× 36 0.4× 37 588
Shakeel Khoja Pakistan 12 232 0.5× 113 0.5× 114 0.9× 43 0.4× 140 1.5× 42 532

Countries citing papers authored by Angelika Maag

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Maag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Maag

This figure shows the co-authorship network connecting the top 25 collaborators of Angelika Maag. A scholar is included among the top collaborators of Angelika Maag 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 Angelika Maag. Angelika Maag 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.
Yang, Hui, Abeer Alsadoon, P. W. C. Prasad, et al.. (2022). Deep learning neural networks for emotion classification from text: enhanced leaky rectified linear unit activation and weighted loss. Multimedia Tools and Applications. 81(11). 15439–15468. 7 indexed citations
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Maag, Angelika, et al.. (2021). A Review on Wireless Telemedicine Technology Challenges and Possible Solution. 1 indexed citations
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Maag, Angelika, et al.. (2021). Ledger Technology of Blockchain and its Impact on Operational Performance of Banks: A Review. 1–10. 1 indexed citations
5.
Alsadoon, Abeer, et al.. (2020). Augmented reality for narrow area navigation in jaw surgery: Modified tracking by detection volume subtraction algorithm. International Journal of Medical Robotics and Computer Assisted Surgery. 16(3). e2097–e2097. 3 indexed citations
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Maag, Angelika, et al.. (2020). Augmented Reality Navigation in Spine Surgery. 1–10. 2 indexed citations
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Prasad, P. W. C., et al.. (2020). Mobile-Enabled Virtual Reality Visualisation Improves Learning And Training In Health Care. 1–9. 1 indexed citations
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Prasad, P. W. C., et al.. (2019). A systematic review: machine learning based recommendation systems for e-learning. Education and Information Technologies. 25(4). 2635–2664. 195 indexed citations
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Prasad, P. W. C., et al.. (2019). Object detection and recognition: using deep learning to assist the visually impaired. Disability and Rehabilitation Assistive Technology. 16(3). 280–288. 22 indexed citations
15.
Alsadoon, Abeer, et al.. (2019). Wearable Devices for Monitoring Dementia Sufferers: A Review and Framework for Discussion. 1–7. 4 indexed citations
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Alsadoon, Abeer, et al.. (2019). Health Monitoring based on Wireless Sensor Networks: A Comprehensive Framework. 1–6. 1 indexed citations
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Prasad, P. W. C., et al.. (2018). Unfamiliar technology: Reaction of international students to blended learning. Computers & Education. 122. 92–103. 97 indexed citations
18.
Maag, Angelika, et al.. (2018). Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review. Expert Systems with Applications. 118. 272–299. 423 indexed citations breakdown →
19.
Alsadoon, Abeer, et al.. (2018). Comprehensive Search Engine Optimization Model for Commercial Websites: Surgeon’s Website in Sydney. Journal of Software. 12(12). 43–56. 5 indexed citations
20.
Prasad, P. W. C., et al.. (2017). The effect of culture and belief systems on students’ academic buoyancy. Education and Information Technologies. 23(4). 1465–1482. 3 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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