Lalit Garg

93 papers and 1.3k indexed citations
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About

Lalit Garg is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lalit Garg has authored 93 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 13 papers in Artificial Intelligence and 13 papers in Computer Networks and Communications. Recurrent topics in Lalit Garg’s work include Healthcare Operations and Scheduling Optimization (13 papers), IoT and Edge/Fog Computing (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Lalit Garg is often cited by papers focused on Healthcare Operations and Scheduling Optimization (13 papers), IoT and Edge/Fog Computing (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Lalit Garg collaborates with scholars based in Malta, United Kingdom and India. Lalit Garg's co-authors include Emeka Chukwu, Sally McClean, Chinmay Chakraborty, Brian J. Meenan, Maria Barton, Ken Fullerton, Vijay Prakash, Peter Millard, Seema Bawa and Gaurav Garg and has published in prestigious journals such as European Journal of Operational Research, Nutrients and Sensors.

In The Last Decade

Co-authorship network of co-authors of Lalit Garg

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lalit Garg

Since Specialization
Citations

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