Deepak S. Turaga

95 papers receiving 1.6k citations

Peers

Deepak S. Turaga
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 676
  • Artificial Intelligence 618
  • Computer Networks and Communications 478
  • Signal Processing 463
  • Electrical and Electronic Engineering 247
Replace Zhaoquan Gu with:
Zhaoquan Gu China
Wei Cheng United States
Emmanuel Müller Germany
Kaiyong Zhao Hong Kong
Ran Wang China
Gia Nhu Nguyen Vietnam
Khushnood Abbas China
Deepak Garg India
Jinfeng Yi United States
Liang Bai China
Deepak S. Turaga relative to Zhaoquan Gu China Zhaoquan Gu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deepak S. Turaga

Since Specialization
Citations

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

Fields of papers citing papers by Deepak S. Turaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak S. Turaga. 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 Deepak S. Turaga. The network helps show where Deepak S. Turaga may publish in the future.

Co-authorship network of co-authors of Deepak S. Turaga

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak S. Turaga. A scholar is included among the top collaborators of Deepak S. Turaga 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 Deepak S. Turaga. Deepak S. Turaga 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
#WorkIndexed citations
1 1
2 82
3 155
4
Online transfer learning for differential diagnosis determination
3
5
SOFIA: An Analytics Recommendation System.
1
6 6
7 12
8 4
9
Big Data Exploration Via Automated Orchestration of Analytic Workflows.
1
10 37
11 17
12 83
13
Towards Optimal Operator Placement in Partial-Fault Tolerant Applications
1
14 13
15
QoS Support for Streaming Media using a Multimedia Server Cluster
1
16 36
17 19
18 8
19 22
20 25

About Deepak S. Turaga

Deepak S. Turaga is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (23 papers), Video Coding and Compression Technologies (18 papers) and Data Stream Mining Techniques (18 papers). The work is most often cited by research in Signal Processing (463 citations), Computer Vision and Pattern Recognition (676 citations) and Computer Networks and Communications (478 citations). Deepak S. Turaga has collaborated with scholars based in United States, Finland and Switzerland. Frequent co-authors include Mihaela van der Schaar, Horst Samulowitz, Udayan Khurana, Tsuhan Chen, Alhussein Fawzi, Pascal Frossard, Jorge E. Caviedes, Fatemeh Nargesian, Elias B. Khalil and Olivier Verscheure. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Circuits and Systems for Video Technology and IBM Journal of Research and Development.

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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