Budhaditya Saha

2.4k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Budhaditya Saha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Budhaditya Saha has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Budhaditya Saha's work include Anomaly Detection Techniques and Applications (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning in Healthcare (5 papers). Budhaditya Saha is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning in Healthcare (5 papers). Budhaditya Saha collaborates with scholars based in Australia. Budhaditya Saha's 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 and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, Data Mining and Knowledge Discovery and Knowledge and Information Systems.

In The Last Decade

Budhaditya Saha

19 papers receiving 1.4k citations

Hit Papers

Memorizing Normality to Detect Anomaly: Memory-Augmented ... 2019 2026 2021 2023 2019 250 500 750 1000
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. 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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Budhaditya Saha Australia 10 1.2k 622 503 254 159 19 1.5k
Vuong Le Australia 11 1.2k 1.0× 596 1.0× 587 1.2× 255 1.0× 157 1.0× 22 1.6k
Moussa Reda Mansour Brazil 9 1.1k 0.9× 599 1.0× 447 0.9× 240 0.9× 151 0.9× 19 1.4k
Dongze Lian China 11 1.3k 1.0× 687 1.1× 870 1.7× 312 1.2× 143 0.9× 22 1.6k
Michael Fauser Germany 6 1.5k 1.2× 430 0.7× 546 1.1× 76 0.3× 158 1.0× 6 2.0k
Paul Bergmann Germany 9 1.6k 1.3× 454 0.7× 634 1.3× 91 0.4× 169 1.1× 9 2.2k
David Sattlegger Germany 7 1.6k 1.3× 448 0.7× 584 1.2× 76 0.3× 169 1.1× 7 2.1k
Weixin Luo China 20 2.4k 2.0× 1.4k 2.3× 1.7k 3.3× 651 2.6× 296 1.9× 30 3.1k
Dae-Ki Cho United States 8 565 0.5× 487 0.8× 124 0.2× 83 0.3× 47 0.3× 11 886
Weixin Li United States 9 1.8k 1.5× 868 1.4× 1.3k 2.7× 401 1.6× 186 1.2× 11 2.0k
Amany Sarhan Egypt 15 415 0.3× 184 0.3× 479 1.0× 108 0.4× 16 0.1× 96 1.4k

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

19 of 19 papers shown
1.
Morais, Romero, Vuong Le, Truyen Tran, et al.. (2019). Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. 11988–11996. 210 indexed citations
2.
Gong, Dong, Lingqiao Liu, Vuong Le, et al.. (2019). Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. 1705–1714. 1024 indexed citations breakdown →
3.
Saha, Budhaditya, Sunil Gupta, Dinh Phung, & Svetha Venkatesh. (2017). A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare. IEEE Journal of Biomedical and Health Informatics. 21(4). 1182–1191. 7 indexed citations
4.
Saha, Budhaditya, Sunil Gupta, Dinh Phung, & Svetha Venkatesh. (2017). Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. Knowledge and Information Systems. 53(1). 179–206. 11 indexed citations
5.
Karmakar, Chandan, Budhaditya Saha, Marimuthu Palaniswami, & Svetha Venkatesh. (2016). Multi-task transfer learning for in-hospital-death prediction of ICU patients. PubMed. 8. 3321–3324. 4 indexed citations
6.
Saha, Budhaditya, Sunil Gupta, Dinh Phung, & Svetha Venkatesh. (2016). Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. 23. 537–542. 2 indexed citations
7.
Gupta, Sunil, Santu Rana, Budhaditya Saha, Dinh Phung, & Svetha Venkatesh. (2016). A new transfer learning framework with application to model-agnostic multi-task learning. Knowledge and Information Systems. 49(3). 933–973. 5 indexed citations
8.
Saha, Budhaditya, Thin Nguyen, Dinh Phung, & Svetha Venkatesh. (2016). A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE Journal of Biomedical and Health Informatics. 20(4). 1008–1015. 47 indexed citations
9.
Saha, Budhaditya, Sunil Gupta, & Svetha Venkatesh. (2015). Improved risk predictions via sparse imputation of patient conditions in electronic medical records. 11. 1–10. 1 indexed citations
10.
Saha, Budhaditya, Sunil Gupta, Dinh Phung, & Svetha Venkatesh. (2015). Multiple task transfer learning with small sample sizes. Knowledge and Information Systems. 46(2). 315–342. 29 indexed citations
11.
Pham, Duc-Son, et al.. (2015). Visual Object Clustering via Mixed-Norm Regularization. eSpace (Curtin University). 1030–1037. 1 indexed citations
12.
Saha, Budhaditya, Duc-Son Pham, Dinh Phung, & Svetha Venkatesh. (2013). Sparse Subspace Clustering via Group Sparse Coding. eSpace (Curtin University). 130–138. 17 indexed citations
13.
Saha, Budhaditya, Dinh Phung, Duc-Son Pham, & Svetha Venkatesh. (2012). Sparse Subspace Representation for Spectral Document Clustering. eSpace (Curtin University). 14. 1092–1097. 1 indexed citations
14.
Pham, Duc-Son, Svetha Venkatesh, Mihai Lazarescu, & Budhaditya Saha. (2012). Anomaly detection in large-scale data stream networks. Data Mining and Knowledge Discovery. 28(1). 145–189. 42 indexed citations
15.
Pham, Duc-Son, Budhaditya Saha, Dinh Phung, & Svetha Venkatesh. (2012). Detection of cross-channel anomalies. Knowledge and Information Systems. 35(1). 33–59. 3 indexed citations
16.
Pham, Duc-Son, Budhaditya Saha, Dinh Phung, & Svetha Venkatesh. (2012). Improved subspace clustering via exploitation of spatial constraints. eSpace (Curtin University). 550–557. 31 indexed citations
17.
Pham, Duc-Son, Budhaditya Saha, Dinh Phung, & Svetha Venkatesh. (2011). Detection of Cross-Channel Anomalies from Multiple Data Channels. eSpace (Curtin University). 30. 527–536. 2 indexed citations
18.
Saha, Budhaditya, Duc-Son Pham, Mihai Lazarescu, & Svetha Venkatesh. (2009). Effective Anomaly Detection in Sensor Networks Data Streams. eSpace (Curtin University). 722–727. 24 indexed citations
19.
Saha, Budhaditya, et al.. (2007). Infrequent Item Mining in Multiple Data Streams. eSpace (Curtin University). 569–574. 15 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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