Gregory Ditzler

2.3k total citations · 1 hit paper
56 papers, 1.5k citations indexed

About

Gregory Ditzler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Gregory Ditzler has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Gregory Ditzler's work include Data Stream Mining Techniques (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Adversarial Robustness in Machine Learning (10 papers). Gregory Ditzler is often cited by papers focused on Data Stream Mining Techniques (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Adversarial Robustness in Machine Learning (10 papers). Gregory Ditzler collaborates with scholars based in United States, Italy and Lebanon. Gregory Ditzler's co-authors include Robi Polikar, Manuel Roveri, Cesare Alippi, Gail Rosen, Hongki Jo, Mehrdad Saif, Roozbeh Razavi‐Far, Ehsan Hallaji, Nitesh V. Chawla and Yemin Lan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and BMC Bioinformatics.

In The Last Decade

Gregory Ditzler

55 papers receiving 1.5k citations

Hit Papers

Learning in Nonstationary Environments: A Survey 2015 2026 2018 2022 2015 100 200 300 400 500
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. Learning in Nonstationary Environments: A Survey
    2015 518 citations Gregory Ditzler, Robi Polikar 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
Gregory Ditzler United States 15 1.1k 207 186 184 147 56 1.5k
Qun Song China 17 983 0.9× 95 0.5× 153 0.8× 140 0.8× 150 1.0× 49 1.5k
Junkai Ji China 20 742 0.7× 171 0.8× 98 0.5× 227 1.2× 141 1.0× 68 1.2k
Zhisong Pan China 16 558 0.5× 227 1.1× 217 1.2× 134 0.7× 175 1.2× 123 1.1k
Mohammed Alweshah Jordan 20 721 0.7× 194 0.9× 114 0.6× 132 0.7× 52 0.4× 57 1.3k
Junhai Zhai China 20 943 0.9× 89 0.4× 83 0.4× 203 1.1× 128 0.9× 98 1.4k
Helmi Md Rais Malaysia 11 620 0.6× 237 1.1× 191 1.0× 95 0.5× 57 0.4× 32 1.2k
Jean Paul Barddal Brazil 15 1.3k 1.2× 299 1.4× 303 1.6× 109 0.6× 135 0.9× 56 1.6k
Meng‐Hiot Lim Singapore 15 941 0.9× 166 0.8× 34 0.2× 160 0.9× 101 0.7× 32 1.5k
Jingchao Ni United States 17 985 0.9× 380 1.8× 362 1.9× 57 0.3× 56 0.4× 37 1.3k

Countries citing papers authored by Gregory Ditzler

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Ditzler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Ditzler

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Ditzler. A scholar is included among the top collaborators of Gregory Ditzler 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 Gregory Ditzler. Gregory Ditzler 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.
Li, Huayu, Xiwen Chen, Gregory Ditzler, Janet Roveda, & Ao Li. (2024). Knowledge distillation under ideal joint classifier assumption. Neural Networks. 173. 106160–106160. 1 indexed citations
2.
Zhang, Wenhan, Marwan Krunz, & Gregory Ditzler. (2024). Stealthy Adversarial Attacks on Machine Learning-Based Classifiers of Wireless Signals. SHILAP Revista de lepidopterología. 2. 261–279. 2 indexed citations
3.
Schwartz, David, et al.. (2022). Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Computing and Applications. 34(11). 8977–8987. 29 indexed citations
4.
Zhang, Wenhan, Marwan Krunz, & Gregory Ditzler. (2021). Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. 20. 987–992. 8 indexed citations
5.
Satam, Pratik, et al.. (2021). Multi-Layer Mapping of Cyberspace for Intrusion Detection. 1–8. 7 indexed citations
6.
Schwartz, David & Gregory Ditzler. (2021). Bolstering Adversarial Robustness with Latent Disparity Regularization. 8. 1–8. 2 indexed citations
7.
Liu, Heng & Gregory Ditzler. (2020). Detecting Adversarial Audio via Activation Quantization Error. 18. 1–7. 2 indexed citations
8.
Liu, Heng & Gregory Ditzler. (2020). Adversarial Audio Attacks that Evade Temporal Dependency. 639–646. 2 indexed citations
9.
Ditzler, Gregory, Nidhal Bouaynaya, Roman Shterenberg, & Hassan M. Fathallah‐Shaykh. (2019). Approximate kernel reconstruction for time-varying networks. BioData Mining. 12(1). 5–5. 1 indexed citations
10.
Schwartz, David, et al.. (2018). The impact of encoding–decoding schemes and weight normalization in spiking neural networks. Neural Networks. 108. 365–378. 14 indexed citations
11.
Ditzler, Gregory, et al.. (2017). Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4504–4509. 26 indexed citations
12.
Ditzler, Gregory, Robi Polikar, & Gail Rosen. (2017). A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2530–2544. 19 indexed citations
13.
Ditzler, Gregory, Nidhal Bouaynaya, & Roman Shterenberg. (2017). AKRON: An algorithm for approximating sparse kernel reconstruction. Signal Processing. 144. 265–270. 3 indexed citations
14.
Hariri, Salim, et al.. (2017). A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications. 12. 58–68. 3 indexed citations
15.
Haque, Rafiqul, Yéhia Taher, Zainab Assaghir, et al.. (2017). Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art. HAL (Le Centre pour la Communication Scientifique Directe). 243–250. 10 indexed citations
16.
Ditzler, Gregory, et al.. (2015). Fizzy: feature subset selection for metagenomics. BMC Bioinformatics. 16(1). 358–358. 38 indexed citations
17.
Ditzler, Gregory, Robi Polikar, & Gail Rosen. (2014). A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. IEEE Transactions on Neural Networks and Learning Systems. 26(4). 880–886. 20 indexed citations
18.
Ditzler, Gregory, et al.. (2014). Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. 439–445. 1 indexed citations
19.
Ditzler, Gregory & Robi Polikar. (2011). Semi-supervised learning in nonstationary environments. 2741–2748. 32 indexed citations
20.
Ditzler, Gregory & Robi Polikar. (2011). Hellinger distance based drift detection for nonstationary environments. 41–48. 86 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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