Saurabh Garg

10.6k total citations · 2 hit papers
192 papers, 6.8k citations indexed

About

Saurabh Garg is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Saurabh Garg has authored 192 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 67 papers in Information Systems and 26 papers in Artificial Intelligence. Recurrent topics in Saurabh Garg's work include Cloud Computing and Resource Management (54 papers), IoT and Edge/Fog Computing (49 papers) and Distributed and Parallel Computing Systems (21 papers). Saurabh Garg is often cited by papers focused on Cloud Computing and Resource Management (54 papers), IoT and Edge/Fog Computing (49 papers) and Distributed and Parallel Computing Systems (21 papers). Saurabh Garg collaborates with scholars based in Australia, United States and United Kingdom. Saurabh Garg's co-authors include Rajkumar Buyya, Steve Versteeg, Linlin Wu, Rajiv Ranjan, Ranesh Kumar Naha, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Pushpa Agrawal, Steven Versteeg and Sudheer Kumar Battula and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Saurabh Garg

184 papers receiving 6.4k 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.

A framework for ranking of cloud computing services

2012 610 citations Saurabh Garg et al. Future Generation Computer Systems profile →
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

2018 391 citations Ranesh Kumar Naha, Saurabh Garg et al. IEEE Access profile →

Peers

Saurabh Garg

CNC

GENET

Ralf Steinmetz Germany

Ravishankar K. Iyer United States

Kevin Lee United States

Ernesto Damiani Italy

Dan Wang China

Zhaohui Wu China

Christian Kästner Germany

Bart Dhoedt Belgium

Jiankun Hu Australia

Jeffrey D. Johnson United States

Ralf Steinmetz Germany

Saurabh Garg

4.0k ×1.2

CNC

1.4k ×0.4

1.3k ×1.7

846 ×1.3

232 ×0.4

GENET

Citations per year, relative to Saurabh Garg Saurabh Garg (= 1×) peers Ralf Steinmetz

Countries citing papers authored by Saurabh Garg

Since Specialization

Citations

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

Fields of papers citing papers by Saurabh Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Garg. A scholar is included among the top collaborators of Saurabh Garg 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 Saurabh Garg. Saurabh Garg 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:

20 of 20 papers shown

Hameed, Khizar, Saurabh Garg, Muhammad Bilal Amin, Byeong Ho Kang, & Abid Khan. (2022). A context-aware information-based clone node attack detection scheme in Internet of Things. UTAS Research Repository. 24 indexed citations

Garg, Saurabh, et al.. (2022). Resource scheduling and provisioning for processing of dynamic stream workflows under latency constraints. Future Generation Computer Systems. 131. 166–182. 3 indexed citations

Naha, Ranesh Kumar, Saurabh Garg, Sudheer Kumar Battula, et al.. (2021). Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control. Electronics. 10(10). 1171–1171. 36 indexed citations

Garg, Saurabh, et al.. (2021). Online Scheduling Technique To Handle Data Velocity Changes in Stream Workflows. IEEE Transactions on Parallel and Distributed Systems. 32(8). 2115–2130. 8 indexed citations

Montgomery, James, et al.. (2021). Automatic construction of accurate bioacoustics workflows under time constraints using a surrogate model. Applied Soft Computing. 113. 107944–107944. 1 indexed citations

Wen, Zhenyu, Ayman Noor, Karan Mitra, et al.. (2021). AutoDiagn: An Automated Real-Time Diagnosis Framework for Big Data Systems. IEEE Transactions on Computers. 71(5). 1035–1048. 11 indexed citations

Fan, Si, Lihua Chen, Saurabh Garg, et al.. (2021). Revealing Impact Factors on Student Engagement: Learning Analytics Adoption in Online and Blended Courses in Higher Education. Education Sciences. 11(10). 608–608. 18 indexed citations

Garg, Saurabh, et al.. (2020). Detection of SLA Violation for Big Data Analytics Applications in Cloud. IEEE Transactions on Computers. 70(5). 746–758. 4 indexed citations

Garg, Saurabh, Albert Y. Zomaya, Lizhe Wang, et al.. (2020). SLA Management for Big Data Analytical Applications in Clouds. ACM Computing Surveys. 53(3). 1–40. 18 indexed citations

10.

Fu, Anmin, et al.. (2020). FogAuthChain: A secure location-based authentication scheme in fog computing environments using Blockchain. Computer Communications. 162. 212–224. 56 indexed citations

11.

Wen, Zhenyu, Saurabh Garg, Gagangeet Singh Aujla, et al.. (2020). Running Industrial Workflow Applications in a Software-Defined Multicloud Environment Using Green Energy Aware Scheduling Algorithm. IEEE Transactions on Industrial Informatics. 17(8). 5645–5656. 30 indexed citations

12.

Battula, Sudheer Kumar, et al.. (2020). A Generic Stochastic Model for Resource Availability in Fog Computing Environments. IEEE Transactions on Parallel and Distributed Systems. 32(4). 960–974. 13 indexed citations

13.

Fu, Anmin, et al.. (2020). Authentication, Access Control, Privacy, Threats and Trust Management\n Towards Securing Fog Computing Environments: A Review. arXiv (Cornell University). 14 indexed citations

14.

Naha, Ranesh Kumar, Saurabh Garg, Andrew Chan, & Sudheer Kumar Battula. (2019). Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment. Future Generation Computer Systems. 104. 131–141. 123 indexed citations

15.

Battula, Sudheer Kumar, Saurabh Garg, Ranesh Kumar Naha, Parimala Thulasiraman, & Ruppa K. Thulasiram. (2019). A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. Sensors. 19(13). 2954–2954. 27 indexed citations

16.

Aghasian, Erfan, Saurabh Garg, & James Montgomery. (2018). A Privacy-Enhanced Friending Approach for Users on Multiple Online Social Networks. Computers. 7(3). 42–42. 5 indexed citations

17.

Cai, Jiayue, Aiping Liu, Taomian Mi, et al.. (2018). Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE Journal of Biomedical and Health Informatics. 23(4). 1720–1729. 45 indexed citations

18.

Garg, Saurabh, et al.. (2018). Scalable preprocessing of high volume environmental acoustic data for bioacoustic monitoring. PLoS ONE. 13(8). e0201542–e0201542. 11 indexed citations

19.

Kumar, Neeraj, Gagangeet Singh Aujla, Sahil Garg, et al.. (2018). Renewable Energy-Based Multi-Indexed Job Classification and Container Management Scheme for Sustainability of Cloud Data Centers. IEEE Transactions on Industrial Informatics. 15(5). 2947–2957. 81 indexed citations

20.

Garg, Saurabh, et al.. (2017). Automatic and Efficient Denoising of Bioacoustics Recordings Using MMSE STSA. IEEE Access. 6. 5010–5022. 23 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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