Lavika Goel

88 total papers · 738 total citations
41 papers, 257 citations indexed

About

Lavika Goel is a scholar working on Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lavika Goel has authored 41 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Plant Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lavika Goel's work include Metaheuristic Optimization Algorithms Research (13 papers), Smart Agriculture and AI (8 papers) and Evolutionary Algorithms and Applications (6 papers). Lavika Goel is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Smart Agriculture and AI (8 papers) and Evolutionary Algorithms and Applications (6 papers). Lavika Goel collaborates with scholars based in India, United States and Czechia. Lavika Goel's co-authors include Daya Gupta, V. K. Panchal, Yashvardhan Sharma, Sundaresan Raman, Rajendra Prasad Mahapatra, Abhishek A. Sharma, Pritee Parwekar, Mohammed Atiquzzaman, Shashank Gupta and Sudip Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Applied Soft Computing.

In The Last Decade

Lavika Goel

40 papers receiving 243 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lavika Goel	113	56	34	29	24	41	257
Lei Chen	90 0.8×	27 0.5×	46 1.4×	37 1.3×	50 2.1×	31	289
Heba F. Eid	155 1.4×	44 0.8×	43 1.3×	30 1.0×	24 1.0×	23	278
M. Dhivya	65 0.6×	51 0.9×	17 0.5×	29 1.0×	21 0.9×	33	314
Kumudha Raimond	67 0.6×	44 0.8×	12 0.4×	85 2.9×	21 0.9×	48	297
S. T. Patil	102 0.9×	20 0.4×	12 0.4×	59 2.0×	22 0.9×	24	267
Ko-Wei Huang	122 1.1×	15 0.3×	31 0.9×	41 1.4×	17 0.7×	29	265
N. Bharanidharan	157 1.4×	30 0.5×	19 0.6×	56 1.9×	13 0.5×	32	295
Facundo Bromberg	143 1.3×	93 1.7×	11 0.3×	16 0.6×	14 0.6×	20	295
E. Kannan	72 0.6×	29 0.5×	9 0.3×	26 0.9×	14 0.6×	53	279
A S Remya Ajai	61 0.5×	41 0.7×	9 0.3×	86 3.0×	8 0.3×	21	209

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).

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.

Co-authorship network of co-authors of Lavika Goel

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

All Works

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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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