Niall McLaughlin

1.8k citations
27 papers · 1.2k · 2 hit papers · h-index 13

Impact in

Papers in

Niall McLaughlin

27 papers receiving 1.1k citations

Niall McLaughlin's Hit Papers

Deep Android Malware Detection 2017 · 330 citations
3300+3+6Years since publication100200300

Peers

Niall McLaughlin
Comparison fields: 5 of 83
  • Signal Processing 476
  • Software 163
  • Computer Vision and Pattern Recognition 598
  • Computer Networks and Communications 393
  • Information Systems 191
Replace Karthik Dantu with:
Karthik Dantu United States
Dehai Zhao China
Ziyi Zhang China
Jiahao Li China
Ulrik Pagh Schultz Denmark
Chao Zhu China
Weibin Wu China
Gerhard K. Kraetzschmar Germany
Mouayad A. Sahib Iraq
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Citations per year

Countries citing papers authored by Niall McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Niall McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Niall McLaughlin, 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 Niall McLaughlin Line = papers co-authored together Niall McLaughlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent Convolutional Network for Video-Based Person Re-identification
Hit paper breakdown →
2016397
2
Deep Android Malware Detection
Hit paper breakdown →
2017330
3 201566
4 202158
5 202148
6 202040
7 201639
8 201632
9 201531
10 201723
11 202416
12 202015
13 200215
14 201312
15 202311
16 20246
17 20235
18 20254
19
Speaker recognition in noisy conditions with limited training data
20114
20 20124

About Niall McLaughlin

Niall McLaughlin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Small Animals and Computer Networks and Communications, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Advanced Malware Detection Techniques (7 papers), Human Pose and Action Recognition (6 papers), Face recognition and analysis (6 papers), Adversarial Robustness in Machine Learning (4 papers), Speech and Audio Processing (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Signal Processing (476 citations), Software (163 citations), Computer Vision and Pattern Recognition (598 citations), Computer Networks and Communications (393 citations) and Information Systems (191 citations). Niall McLaughlin has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jesús Martínez del Rincón, Paul Miller, Ziming Zhao, Suleiman Y. Yerima, Gail‐Joon Ahn, BooJoong Kang, Sakir Sezer, Adam Doupé, Danny Crookes and Ji Ming. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology, Journal of Information Security and Applications, Computers and Electronics in Agriculture and IEEE Access.

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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