Damien Dablain

615 total citations · 1 hit paper
4 papers, 337 citations indexed

About

Damien Dablain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Damien Dablain has authored 4 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Safety Research. Recurrent topics in Damien Dablain's work include Imbalanced Data Classification Techniques (4 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning in Healthcare (1 paper). Damien Dablain is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning in Healthcare (1 paper). Damien Dablain collaborates with scholars based in United States and Canada. Damien Dablain's co-authors include Nitesh V. Chawla, Bartosz Krawczyk, Colin Bellinger, Mark Roberts and David W. Aha and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems and Machine Learning.

In The Last Decade

Damien Dablain

4 papers receiving 324 citations

Hit Papers

align trajectories

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.

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

2022 293 citations Damien Dablain, Bartosz Krawczyk et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Damien Dablain United States	4	184	45	45	29	25	4	337
Adane Nega Tarekegn Norway	7	212 1.2×	69 1.5×	22 0.5×	21 0.7×	17 0.7×	15	389
Saroja Kumar Rout India	10	136 0.7×	30 0.7×	33 0.7×	38 1.3×	44 1.8×	59	298
Nitin Kumar Chauhan India	5	109 0.6×	37 0.8×	23 0.5×	24 0.8×	43 1.7×	9	273
Edwin Vans Fiji	5	114 0.6×	50 1.1×	31 0.7×	9 0.3×	24 1.0×	6	358
Pınar Kirci Türkiye	8	120 0.7×	21 0.5×	39 0.9×	57 2.0×	31 1.2×	53	281
Deepika Ghai India	9	101 0.5×	127 2.8×	35 0.8×	15 0.5×	32 1.3×	26	389
Jiayi Lu China	9	149 0.8×	44 1.0×	48 1.1×	55 1.9×	57 2.3×	20	360
Jojo Moolayil	4	77 0.4×	36 0.8×	33 0.7×	12 0.4×	15 0.6×	4	251
Hanae Elmekki Canada	5	75 0.4×	34 0.8×	30 0.7×	9 0.3×	18 0.7×	9	217
Ştefan Holban Romania	8	134 0.7×	97 2.2×	27 0.6×	10 0.3×	59 2.4×	53	350

Countries citing papers authored by Damien Dablain

Since Specialization

Citations

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

Fields of papers citing papers by Damien Dablain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Dablain

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

All Works

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4 of 4 papers shown

1.

Dablain, Damien, Bartosz Krawczyk, & Nitesh V. Chawla. (2024). Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning. 2(1). 6 indexed citations

2.

Dablain, Damien, Colin Bellinger, Bartosz Krawczyk, David W. Aha, & Nitesh V. Chawla. (2024). Understanding imbalanced data: XAI & interpretable ML framework. Machine Learning. 113(6). 3751–3769. 4 indexed citations

3.

Dablain, Damien, et al.. (2023). Understanding CNN fragility when learning with imbalanced data. Machine Learning. 113(7). 4785–4810. 34 indexed citations

4.

Dablain, Damien, Bartosz Krawczyk, & Nitesh V. Chawla. (2022). DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6390–6404. 293 indexed citations breakdown →

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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