Lavika Goel

30 papers and 141 indexed citations i.

About

Lavika Goel is a scholar working on Artificial Intelligence, Plant Science and Biomedical Engineering. According to data from OpenAlex, Lavika Goel has authored 30 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Plant Science and 4 papers in Biomedical Engineering. Recurrent topics in Lavika Goel’s work include Metaheuristic Optimization Algorithms Research (9 papers), Smart Agriculture and AI (7 papers) and Spectroscopy and Chemometric Analyses (4 papers). Lavika Goel is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Smart Agriculture and AI (7 papers) and Spectroscopy and Chemometric Analyses (4 papers). Lavika Goel collaborates with scholars based in India, United States and Czechia. Lavika Goel's co-authors include Daya Gupta, V. K. Panchal, Sundaresan Raman, Rajendra Prasad Mahapatra, Sudip Roy, Abhishek A. Sharma, Pritee Parwekar, Shashank Gupta, Yashvardhan Sharma and Ajith Abraham and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Lavika Goel i

Fields of papers citing papers by Lavika Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lavika Goel

Since Specialization
Citations

This map shows the geographic impact of Lavika Goel'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 Lavika Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lavika Goel 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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2025