Saurabh Garg

165 papers and 4.7k indexed citations i.

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 165 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Networks and Communications, 55 papers in Information Systems and 23 papers in Artificial Intelligence. Recurrent topics in Saurabh Garg’s work include Cloud Computing and Resource Management (44 papers), IoT and Edge/Fog Computing (42 papers) and Distributed and Parallel Computing Systems (16 papers). Saurabh Garg is often cited by papers focused on Cloud Computing and Resource Management (44 papers), IoT and Edge/Fog Computing (42 papers) and Distributed and Parallel Computing Systems (16 papers). Saurabh Garg collaborates with scholars based in Australia, United States and United Kingdom. Saurabh Garg's co-authors include Rajkumar Buyya, Steve Versteeg, Rajiv Ranjan, Ranesh Kumar Naha, Pushpa Agrawal, Dimitrios Georgakopoulos, Gail Mandel, Md. Suhail Alam†, Prem Prakash Jayaraman and Daniel T. Lioy and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Saurabh Garg i

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.

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).

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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