Mohsin Munir

1.1k total citations · 1 hit paper
19 papers, 599 citations indexed

About

Mohsin Munir is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohsin Munir has authored 19 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohsin Munir's work include Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Mohsin Munir is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Mohsin Munir collaborates with scholars based in Germany, Pakistan and Indonesia. Mohsin Munir's co-authors include Andreas Dengel, Sheraz Ahmed, Shoaib Ahmed Siddiqui, Dominique Mercier, Ludger van Elst, Abdul Hannan Khan, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz and Christoffer Edlund and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Mohsin Munir

15 papers receiving 578 citations

Hit Papers

DeepAnT: A Deep Learning Approach for Unsupervised Anomal... 2018 2026 2020 2023 2018 100 200 300
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. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
    2018 393 citations Mohsin Munir, Shoaib Ahmed Siddiqui et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsin Munir Germany 8 448 233 228 99 67 19 599
Defu Cao United States 7 363 0.8× 208 0.9× 220 1.0× 91 0.9× 43 0.6× 12 545
Bixiong Xu China 4 521 1.2× 240 1.0× 392 1.7× 115 1.2× 47 0.7× 4 771
Zekai Chen China 10 388 0.9× 210 0.9× 207 0.9× 85 0.9× 90 1.3× 23 599
Congrui Huang China 5 599 1.3× 239 1.0× 403 1.8× 115 1.2× 64 1.0× 8 892
Jie Tong China 7 356 0.8× 240 1.0× 210 0.9× 87 0.9× 25 0.4× 17 548
Wenyu Zhang Singapore 8 391 0.9× 127 0.5× 148 0.6× 134 1.4× 79 1.2× 25 597
Piotr Duda Poland 12 453 1.0× 87 0.4× 137 0.6× 64 0.6× 52 0.8× 24 637
Maciej Jaworski Poland 12 448 1.0× 85 0.4× 133 0.6× 66 0.7× 50 0.7× 20 630
Ailin Deng China 4 537 1.2× 362 1.6× 313 1.4× 132 1.3× 38 0.6× 12 721
Chenhao Niu China 3 745 1.7× 500 2.1× 464 2.0× 148 1.5× 39 0.6× 7 867

Countries citing papers authored by Mohsin Munir

Since Specialization
Citations

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

Fields of papers citing papers by Mohsin Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsin Munir

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

All Works

19 of 19 papers shown
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Mercier, Dominique, et al.. (2022). PPML-TSA: A modular privacy-preserving time series classification framework. Software Impacts. 12. 100286–100286. 1 indexed citations
4.
Khan, Abdul Hannan, Mohsin Munir, Ludger van Elst, & Andreas Dengel. (2022). F2DNet: Fast Focal Detection Network for Pedestrian Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 4658–4664. 17 indexed citations
5.
Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2022). DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. 1–4.
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Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2021). DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. 1–8. 5 indexed citations
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Mercier, Dominique, et al.. (2021). Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification. IEEE Transactions on Industrial Informatics. 18(11). 7834–7842. 11 indexed citations
8.
Munir, Mohsin, et al.. (2021). Kinerja Algoritma Optimasi Root-Mean-Square Propagation dan Stochastic Gradient Descent pada Klasifikasi Pneumonia Covid-19 Menggunakan CNN. Jurnal Edukasi dan Penelitian Informatika (JEPIN). 7(3). 420–420.
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Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2021). DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. 1–4. 2 indexed citations
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Munir, Mohsin, Erna Budhiarti Nababan, & Tulus Tulus. (2020). Learning Vector Quantization with Local Mean Based to Determine K Value in the K-Nearest Neighbor Method. 1 indexed citations
11.
Munir, Mohsin, et al.. (2020). Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access. 8. 115476–115485. 5 indexed citations
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Siddiqui, Shoaib Ahmed, Mohsin Munir, Muhammad Imran Malik, et al.. (2020). Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks. Applied Sciences. 10(18). 6460–6460. 13 indexed citations
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Siddiqui, Shoaib Ahmed, Dominique Mercier, Mohsin Munir, Andreas Dengel, & Sheraz Ahmed. (2019). TSViz: Demystification of Deep Learning Models for Time-Series Analysis. IEEE Access. 7. 67027–67040. 52 indexed citations
14.
Munir, Mohsin, et al.. (2019). FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors. 19(11). 2451–2451. 57 indexed citations
15.
Munir, Mohsin, et al.. (2019). SEGMENTASI K-MEANS CLUSTERING PADA CITRA WARNA DAUN TUNGGAL MENGGUNAKAN MODEL WARNA L*a*b. 14(2). 1 indexed citations
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Munir, Mohsin, Shoaib Ahmed Siddiqui, Andreas Dengel, & Sheraz Ahmed. (2018). DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access. 7. 1991–2005. 393 indexed citations breakdown →
19.
Munir, Mohsin, et al.. (2017). Pattern-Based Contextual Anomaly Detection in HVAC Systems. 1066–1073. 11 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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