Susan McKeever

1.6k total citations
52 papers, 848 citations indexed

About

Susan McKeever is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Susan McKeever has authored 52 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Susan McKeever's work include Hate Speech and Cyberbullying Detection (7 papers), Video Surveillance and Tracking Methods (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Susan McKeever is often cited by papers focused on Hate Speech and Cyberbullying Detection (7 papers), Video Surveillance and Tracking Methods (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Susan McKeever collaborates with scholars based in Ireland, Egypt and United Kingdom. Susan McKeever's co-authors include Simon Dobson, Juan Ye, Jane Courtney, Ayman Taha, Lorcan Coyle, Sarah Jane Delany, Chris J. Bleakley, Ihsan Ullah, Dympna O’Sullivan and Hao Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Susan McKeever

44 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan McKeever Ireland	13	364	220	179	110	96	52	848
Dezhi Hong United States	15	253 0.7×	311 1.4×	159 0.9×	81 0.7×	197 2.1×	60	937
Hrudaya Kumar Tripathy India	19	213 0.6×	222 1.0×	100 0.6×	97 0.9×	46 0.5×	69	888
Sandeep Kumar India	23	444 1.2×	341 1.6×	224 1.3×	210 1.9×	143 1.5×	118	1.5k
Yunsick Sung South Korea	20	354 1.0×	261 1.2×	257 1.4×	156 1.4×	221 2.3×	114	1.2k
Kamlesh Tiwari India	16	640 1.8×	194 0.9×	129 0.7×	126 1.1×	236 2.5×	68	1.2k
Aldo Franco Dragoni Italy	16	326 0.9×	377 1.7×	174 1.0×	123 1.1×	75 0.8×	82	941
Asadollah Shahbahrami Iran	16	466 1.3×	296 1.3×	118 0.7×	146 1.3×	70 0.7×	104	1.0k
Eric T. Matson United States	17	326 0.9×	261 1.2×	174 1.0×	95 0.9×	81 0.8×	106	1.1k
Rashmika Nawaratne Australia	14	251 0.7×	372 1.7×	181 1.0×	67 0.6×	93 1.0×	29	860

Countries citing papers authored by Susan McKeever

Since Specialization

Citations

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

Fields of papers citing papers by Susan McKeever

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan McKeever

This figure shows the co-authorship network connecting the top 25 collaborators of Susan McKeever. A scholar is included among the top collaborators of Susan McKeever 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 Susan McKeever. Susan McKeever is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Miralles‐Pechuán, Luis, et al.. (2025). The Digital Loophole: Evaluating the Effectiveness of Child Age Verification Methods on Social Media. 213–222.

McKeever, Susan, et al.. (2024). Synthetic Dataset Generation Using Photo-Realistic Simulation with Varied Time and Weather Axes. Electronics. 13(8). 1516–1516.

Hicks, Alan C., et al.. (2024). An Image Processing Approach for Real-Time Safety Assessment of Autonomous Drone Delivery. Drones. 8(1). 21–21. 6 indexed citations

Miralles‐Pechuán, Luis, et al.. (2023). Enhancing Zero-Shot Action Recognition in Videos by Combining GANs with Text and Images. SN Computer Science. 4(4). 3 indexed citations

McKeever, Susan, et al.. (2023). Unimodal Intermediate Training for Multimodal Meme Sentiment Classification. 494–506.

Miralles‐Pechuán, Luis, et al.. (2023). Detecting Road Intersections from Satellite Images using Convolutional Neural Networks. Arrow - TU Dublin (Technological University Dublin). 495–498. 2 indexed citations

Miralles‐Pechuán, Luis, et al.. (2023). A Survey on Outdoor Navigation Applications for People With Visual Impairments. IEEE Access. 11. 14647–14666. 10 indexed citations

Hines, Andrew, et al.. (2023). Exploring Wav2vec 2.0 Model for Heart Murmur Detection. Arrow - TU Dublin (Technological University Dublin). 6 indexed citations

Hines, Andrew, et al.. (2022). An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone. Computers in Biology and Medicine. 145. 105415–105415. 11 indexed citations

10.

Hicks, Alan C., et al.. (2022). An Image Processing Based Classifier to Support Safe Dropping for Delivery-by-Drone. Arrow - TU Dublin (Technological University Dublin). 1–5. 8 indexed citations

11.

Qureshi, Waqar S., et al.. (2022). An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment. Sensors. 22(22). 9019–9019. 20 indexed citations

12.

Miralles‐Pechuán, Luis, et al.. (2022). Combining Text and Image Knowledge with GANs for Zero-Shot Action Recognition in Videos. Arrow - TU Dublin (Technological University Dublin). 623–631. 2 indexed citations

13.

Taha, Ayman, et al.. (2021). A Systematic Review of Urban Navigation Systems for Visually Impaired People. Sensors. 21(9). 3103–3103. 60 indexed citations

14.

Taha, Ayman, et al.. (2021). Insurance Reserve Prediction: Opportunities and Challenges. 2021 International Conference on Computational Science and Computational Intelligence (CSCI). 290–295. 5 indexed citations

15.

McKeever, Susan, et al.. (2021). Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy. Drones. 5(2). 52–52. 57 indexed citations

16.

Hines, Andrew, et al.. (2020). Exploring Composite Dataset Biases for Heart Sound Classification.. Research Repository UCD (University College Dublin). 145–156. 1 indexed citations

17.

McKeever, Susan, et al.. (2019). Detecting Hacker Threats: Performance of Word and Sentence Embedding Models in Identifying Hacker Communications. 116–127. 5 indexed citations

18.

McKeever, Susan, et al.. (2018). Presenting a hybrid processing mining framework for automated simulation model generation. Winter Simulation Conference. 1370–1381. 2 indexed citations

19.

Ye, Juan, Simon Dobson, & Susan McKeever. (2011). Situation identification techniques in pervasive computing: A review. Pervasive and Mobile Computing. 8(1). 36–66. 273 indexed citations

20.

McKeever, Susan. (2003). Understanding Web content management systems: evolution, lifecycle and market. Industrial Management & Data Systems. 103(9). 686–692. 68 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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