Lalit Garg

3.1k total citations
124 papers, 1.8k citations indexed

About

Lalit Garg is a scholar working on Information Systems, Artificial Intelligence and Emergency Medical Services. According to data from OpenAlex, Lalit Garg has authored 124 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 18 papers in Artificial Intelligence and 16 papers in Emergency Medical Services. Recurrent topics in Lalit Garg's work include Healthcare Operations and Scheduling Optimization (16 papers), EEG and Brain-Computer Interfaces (11 papers) and IoT and Edge/Fog Computing (9 papers). Lalit Garg is often cited by papers focused on Healthcare Operations and Scheduling Optimization (16 papers), EEG and Brain-Computer Interfaces (11 papers) and IoT and Edge/Fog Computing (9 papers). Lalit Garg collaborates with scholars based in Malta, United Kingdom and India. Lalit Garg's co-authors include Emeka Chukwu, Sally McClean, Brian J. Meenan, Chinmay Chakraborty, Maria Barton, Ken Fullerton, Peter Millard, Vijay Prakash, Seema Bawa and Gaurav Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Lalit Garg

109 papers receiving 1.7k citations

Peers

Lalit Garg
Comparison fields: 5 of 150
  • Information Systems 417
  • Artificial Intelligence 321
  • Computer Networks and Communications 269
  • Emergency Medical Services 195
  • Cognitive Neuroscience 190
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Citations per field, relative to Lalit Garg
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Citations per year, relative to Lalit Garg
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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).

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.

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.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 1
7 47
8 7
9 12
10 7
11 1
12 3
13 3
14 3
15 111
16 3
17 11
18 2
19 3
20 14

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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