Budhaditya Saha

2.4k citations

19 papers · 1.5k indexed · 1 hit paper · h-index 10

Artificial Intelligence top 1%
Computer Networks and Communications top 2%
Computer Vision and Pattern Recognition top 2%
Biomedical Engineering
Epidemiology

Co-authors: Svetha Venkatesh Moussa Reda Mansour Vuong Le Dong Gong Lingqiao Liu Anton van den Hengel Dinh Phung Romero Morais
Topics: Anomaly Detection Techniques and Applications (7 papers)Sparse and Compressive Sensing Techniques (5 papers)Machine Learning in Healthcare (5 papers)
Cited by: Artificial Intelligence Computer Networks and Communications Computer Vision and Pattern Recognition
Journals: IEEE Journal of Biomedical and Health Informatics Data Mining and Knowledge Discovery Knowledge and Information Systems
Partner nations: Australia

In The Last Decade

Budhaditya Saha

19 papers receiving 1.4k 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.

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

2019 1.0k citations Dong Gong, Lingqiao Liu et al. profile →

Peers

Countries citing papers authored by Budhaditya Saha

Since Specialization

Citations

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

Fields of papers citing papers by Budhaditya Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Budhaditya Saha

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

#	Work	Indexed citations
1	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos 2019 ·Romero Morais,Vuong Le,Truyen Tran,Budhaditya Saha,Moussa Reda Mansour,Svetha Venkatesh	210
2	Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detectionbreakdown → 2019 ·Dong Gong,Lingqiao Liu,Vuong Le,Budhaditya Saha,Moussa Reda Mansour,Svetha Venkatesh,Anton van den Hengel	1024
3	A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare 2017 ·IEEE Journal of Biomedical and Health Informatics ·Budhaditya Saha,Sunil Gupta,Dinh Phung,Svetha Venkatesh	7
4	Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions 2017 ·Knowledge and Information Systems ·Budhaditya Saha,Sunil Gupta,Dinh Phung,Svetha Venkatesh	11
5	Multi-task transfer learning for in-hospital-death prediction of ICU patients 2016 ·PubMed ·Chandan Karmakar,Budhaditya Saha,Marimuthu Palaniswami,Svetha Venkatesh	4
6	Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model 2016 ·Budhaditya Saha,Sunil Gupta,Dinh Phung,Svetha Venkatesh	2
7	A new transfer learning framework with application to model-agnostic multi-task learning 2016 ·Knowledge and Information Systems ·Sunil Gupta,Santu Rana,Budhaditya Saha,Dinh Phung,Svetha Venkatesh	5
8	A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression 2016 ·IEEE Journal of Biomedical and Health Informatics ·Budhaditya Saha,Thin Nguyen,Dinh Phung,Svetha Venkatesh	47
9	Improved risk predictions via sparse imputation of patient conditions in electronic medical records 2015 ·Budhaditya Saha,Sunil Gupta,Svetha Venkatesh	1
10	Multiple task transfer learning with small sample sizes 2015 ·Knowledge and Information Systems ·Budhaditya Saha,Sunil Gupta,Dinh Phung,Svetha Venkatesh	29
11	Visual Object Clustering via Mixed-Norm Regularization 2015 ·eSpace (Curtin University) ·(unknown),Duc-Son Pham,Dinh Phung,Wanquan Liu,Budhaditya Saha,Svetha Venkatesh	1
12	Sparse Subspace Clustering via Group Sparse Coding 2013 ·eSpace (Curtin University) ·Budhaditya Saha,Duc-Son Pham,Dinh Phung,Svetha Venkatesh	17
13	Sparse Subspace Representation for Spectral Document Clustering 2012 ·eSpace (Curtin University) ·Budhaditya Saha,Dinh Phung,Duc-Son Pham,Svetha Venkatesh	1
14	Anomaly detection in large-scale data stream networks 2012 ·Data Mining and Knowledge Discovery ·Duc-Son Pham,Svetha Venkatesh,Mihai Lazarescu,Budhaditya Saha	42
15	Detection of cross-channel anomalies 2012 ·Knowledge and Information Systems ·Duc-Son Pham,Budhaditya Saha,Dinh Phung,Svetha Venkatesh	3
16	Improved subspace clustering via exploitation of spatial constraints 2012 ·eSpace (Curtin University) ·Duc-Son Pham,Budhaditya Saha,Dinh Phung,Svetha Venkatesh	31
17	Detection of Cross-Channel Anomalies from Multiple Data Channels 2011 ·eSpace (Curtin University) ·Duc-Son Pham,Budhaditya Saha,Dinh Phung,Svetha Venkatesh	2
18	Effective Anomaly Detection in Sensor Networks Data Streams 2009 ·eSpace (Curtin University) ·Budhaditya Saha,Duc-Son Pham,Mihai Lazarescu,Svetha Venkatesh	24
19	Infrequent Item Mining in Multiple Data Streams 2007 ·eSpace (Curtin University) ·Budhaditya Saha,(unknown),(unknown)	15

About Budhaditya Saha

Budhaditya Saha is a scholar working on Artificial Intelligence, Statistics and Probability and Media Technology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Networks and Communications (622 citations) and Computer Vision and Pattern Recognition (503 citations). Budhaditya Saha has collaborated with scholars based in Australia. Frequent co-authors include Svetha Venkatesh, Moussa Reda Mansour, Vuong Le, Dong Gong, Lingqiao Liu, Anton van den Hengel, Dinh Phung, Romero Morais, Truyen Tran and Duc-Son Pham. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Data Mining and Knowledge Discovery and Knowledge and Information Systems.

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