Christian W. Omlin

2.8k total citations · 1 hit paper
75 papers, 1.5k citations indexed

About

Christian W. Omlin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Christian W. Omlin has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Christian W. Omlin's work include Neural Networks and Applications (19 papers), Machine Learning and Algorithms (15 papers) and Network Security and Intrusion Detection (8 papers). Christian W. Omlin is often cited by papers focused on Neural Networks and Applications (19 papers), Machine Learning and Algorithms (15 papers) and Network Security and Intrusion Detection (8 papers). Christian W. Omlin collaborates with scholars based in Norway, South Africa and United States. Christian W. Omlin's co-authors include C. Lee Giles, Waddah Saeed, Jacob Whitehill, K.K. Thornber, Ralf C. Staudemeyer, Rohitash Chandra, Morten Goodwin, Tina‐Marié Wessels, Johnson I. Agbinya and Ian Sanders and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Journal of Cleaner Production.

In The Last Decade

Christian W. Omlin

69 papers receiving 1.4k citations

Hit Papers

Explainable AI (XAI): A systematic meta-survey of current... 2023 2026 2024 2025 2023 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. Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
    2023 375 citations Christian W. Omlin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian W. Omlin Norway 18 957 225 149 141 136 75 1.5k
Scott E. Fahlman United States 15 1.2k 1.3× 269 1.2× 193 1.3× 126 0.9× 184 1.4× 36 1.8k
Anca Ralescu United States 19 729 0.8× 384 1.7× 202 1.4× 136 1.0× 133 1.0× 157 1.7k
Kenneth W. Bauer United States 19 553 0.6× 237 1.1× 127 0.9× 94 0.7× 83 0.6× 119 1.3k
Qun Song China 17 983 1.0× 137 0.6× 95 0.6× 140 1.0× 77 0.6× 49 1.5k
Jiejun Xu United States 17 773 0.8× 432 1.9× 129 0.9× 102 0.7× 132 1.0× 48 1.6k
Agapito Ledezma Spain 19 586 0.6× 175 0.8× 138 0.9× 70 0.5× 56 0.4× 81 1.2k
Harry Zhang Canada 13 745 0.8× 223 1.0× 130 0.9× 65 0.5× 82 0.6× 29 1.4k
Sin-Chun Ng Hong Kong 16 461 0.5× 152 0.7× 41 0.3× 118 0.8× 75 0.6× 96 1.0k
Dymitr Ruta United Arab Emirates 16 656 0.7× 324 1.4× 140 0.9× 74 0.5× 76 0.6× 61 1.6k
Martin Takáč United States 17 895 0.9× 156 0.7× 233 1.6× 160 1.1× 115 0.8× 59 1.7k

Countries citing papers authored by Christian W. Omlin

Since Specialization
Citations

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

Fields of papers citing papers by Christian W. Omlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian W. Omlin. 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 Christian W. Omlin. The network helps show where Christian W. Omlin may publish in the future.

Co-authorship network of co-authors of Christian W. Omlin

This figure shows the co-authorship network connecting the top 25 collaborators of Christian W. Omlin. A scholar is included among the top collaborators of Christian W. Omlin 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 Christian W. Omlin. Christian W. Omlin 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.
Omlin, Christian W., et al.. (2025). Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection. Sensors. 25(11). 3475–3475.
2.
3.
Omlin, Christian W., et al.. (2025). AI-ASSISTED GAME-BASED LEARNING IN TEACHING HISTORICAL CONSCIOUSNESS: BENEFITS AND CHALLENGES. INTED proceedings. 1. 4858–4867. 1 indexed citations
4.
Gupta, Aditya, et al.. (2024). An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection. Applied Sciences. 14(11). 4722–4722. 5 indexed citations
5.
Sharif, Md. Haidar, Lei Jiao, & Christian W. Omlin. (2023). Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks. Electronics. 12(7). 1517–1517. 11 indexed citations
6.
Omlin, Christian W., et al.. (2023). Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops. Computers & Chemical Engineering. 172. 108173–108173. 7 indexed citations
7.
Omlin, Christian W., L. Wang, D. Yu, et al.. (2023). Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors. 23(24). 9679–9679. 4 indexed citations
8.
Kolhe, Mohan Lal, et al.. (2023). Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles. Journal of Cleaner Production. 421. 138467–138467. 17 indexed citations
9.
Walker, David, et al.. (2023). Towards Data-Driven Material Removal Rate Estimation in Bonnet Polishing. Huddersfield Research Portal (University of Huddersfield). 473–479. 1 indexed citations
10.
Omlin, Christian W., et al.. (2020). Towards Responsible AI for Financial Transactions. arXiv (Cornell University). 16–21. 19 indexed citations
11.
12.
Nyongesa, Henry O., et al.. (2009). Facial Action Unit Recognition Using Recurrent Neural Networks.. IPCV. 357–361. 1 indexed citations
13.
Chandra, Rohitash & Christian W. Omlin. (2008). Hybrid Evolutionary One-Step Gradient Descent for Training Recurrent Neural Networks.. 305–311. 1 indexed citations
14.
Chandra, Rohitash & Christian W. Omlin. (2008). Evolutionary Training Of Hybrid Systems Of Recurrent Neural Networks And Hidden Markov Models. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
15.
Sharma, Anurag & Christian W. Omlin. (2008). Determining Cluster Boundaries Using Particle Swarm Optimization. Zenodo (CERN European Organization for Nuclear Research). 2(10). 3575–3579. 4 indexed citations
16.
Chandra, Rohitash & Christian W. Omlin. (2007). Hybrid Recurrent Neural Networks: An Application to Phoneme Classification.. 2(1). 57–62. 2 indexed citations
17.
Chandra, Rohitash & Christian W. Omlin. (2007). Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain.. 221–227. 1 indexed citations
18.
Chandra, Rohitash & Christian W. Omlin. (2007). The Comparison and Combination of Genetic and Gradient Descent Learning in Recurrent Neural Networks: An Application to Speech Phoneme Classification.. 286–293. 4 indexed citations
19.
Chandra, Rohitash & Christian W. Omlin. (2006). Training and extraction of fuzzy finite state automata in recurrent neural networks.. Computational intelligence. 274–279. 2 indexed citations
20.
Kroon, Steve & Christian W. Omlin. (2004). Getting to grips with support vector machines : application : general. 38(2). 159–172.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Scott E. Fahlman Breakdown of academic impact, for papers by Anca Ralescu Breakdown of academic impact, for papers by Kenneth W. Bauer Breakdown of academic impact, for papers by Qun Song Breakdown of academic impact, for papers by Jiejun Xu Breakdown of academic impact, for papers by Agapito Ledezma Breakdown of academic impact, for papers by Harry Zhang Breakdown of academic impact, for papers by Sin-Chun Ng Breakdown of academic impact, for papers by Dymitr Ruta Breakdown of academic impact, for papers by Martin Takáč
Rankless by CCL
2026