Dweepna Garg

67 total papers · 457 total citations
32 papers, 228 citations indexed

About

Dweepna Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Dweepna Garg has authored 32 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Dweepna Garg's work include Cloud Computing and Resource Management (4 papers), Face and Expression Recognition (3 papers) and Data Stream Mining Techniques (3 papers). Dweepna Garg is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Face and Expression Recognition (3 papers) and Data Stream Mining Techniques (3 papers). Dweepna Garg collaborates with scholars based in India, Australia and Nepal. Dweepna Garg's co-authors include Ketan Kotecha, Amit Ganatra, Sharnil Pandya, V. Vijayakumar, Ajith Abraham, Mayuri A. Mehta, Vijayakumar Varadarajan, Parth Shah, Parth Patel and Bankim Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Internet.

In The Last Decade

Dweepna Garg

24 papers receiving 206 citations

Author Peers

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

Author						Papers	Cites
Dweepna Garg	57	57	31	28	22	32	228
Xiao-Zhi Gao	57 1.0×	107 1.9×	16 0.5×	46 1.6×	13 0.6×	29	285
Ranjan Walia	48 0.8×	46 0.8×	41 1.3×	19 0.7×	18 0.8×	36	226
Chika Yinka-Banjo	43 0.8×	58 1.0×	18 0.6×	17 0.6×	28 1.3×	35	179
Jianhua Ma	47 0.8×	51 0.9×	23 0.7×	65 2.3×	13 0.6×	37	223
Gurpreet Singh	46 0.8×	54 0.9×	47 1.5×	44 1.6×	14 0.6×	41	256
Durmuş Özdemir	51 0.9×	96 1.7×	19 0.6×	51 1.8×	7 0.3×	39	305
Qinghua Liu	28 0.5×	98 1.7×	18 0.6×	23 0.8×	29 1.3×	22	207
D Rajeswari	60 1.1×	64 1.1×	14 0.5×	15 0.5×	17 0.8×	41	222
Anurag Sharma	35 0.6×	146 2.6×	40 1.3×	43 1.5×	14 0.6×	35	303
Yuan Fang	85 1.5×	49 0.9×	28 0.9×	19 0.7×	26 1.2×	34	329

Countries citing papers authored by Dweepna Garg

Since Specialization

Citations

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

Fields of papers citing papers by Dweepna Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dweepna Garg

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