Dinesh Garg

33 papers and 436 indexed citations
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About

Dinesh Garg is a scholar working on Artificial Intelligence, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Dinesh Garg has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Epidemiology. Recurrent topics in Dinesh Garg’s work include Auction Theory and Applications (4 papers), Topic Modeling (4 papers) and Anesthesia and Sedative Agents (3 papers). Dinesh Garg is often cited by papers focused on Auction Theory and Applications (4 papers), Topic Modeling (4 papers) and Anesthesia and Sedative Agents (3 papers). Dinesh Garg collaborates with scholars based in India, United States and United Kingdom. Dinesh Garg's co-authors include Robert G. Moses, Fernando Gil, Peter Petocz, Rajendra N. Goyal, John C. Bowen, Y. Narahari, Sujit Gujar, Meena Rajput, Babji Srinivasan and Laya Das and has published in prestigious journals such as Gastroenterology, Food Chemistry and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Dinesh Garg

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

Fields of papers citing papers by Dinesh Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dinesh Garg

Since Specialization
Citations

This map shows the geographic impact of Dinesh 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 Dinesh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinesh 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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2026