Charu Gupta

78 total papers · 896 total citations
36 papers, 459 citations indexed

About

Charu Gupta is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charu Gupta has authored 36 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Charu Gupta's work include Sentiment Analysis and Opinion Mining (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Recommender Systems and Techniques (2 papers). Charu Gupta is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Recommender Systems and Techniques (2 papers). Charu Gupta collaborates with scholars based in India, Iraq and Saudi Arabia. Charu Gupta's co-authors include S. L. Jat, Amita Jain, Shweta Taneja, Devendra K. Tayal, Vishu Madaan, Prateek Agrawal, Oscar Castillo, Prerna Jain, Anand Sharma and Radu Prodan and has published in prestigious journals such as IEEE Access, Carbohydrate Research and Engineering Applications of Artificial Intelligence.

In The Last Decade

Charu Gupta

30 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Charu Gupta	142	57	57	54	51	36	459
Kaniz Fatema	170 1.2×	33 0.6×	40 0.7×	51 0.9×	20 0.4×	31	452
U Andayani	73 0.5×	60 1.1×	55 1.0×	77 1.4×	43 0.8×	67	496
Xuliang Duan	106 0.7×	65 1.1×	73 1.3×	112 2.1×	37 0.7×	48	438
Sergio Muñoz-Romero	118 0.8×	34 0.6×	30 0.5×	45 0.8×	18 0.4×	46	482
G. Saranya	113 0.8×	45 0.8×	60 1.1×	61 1.1×	12 0.2×	47	421
Minakshi Memoria	125 0.9×	75 1.3×	16 0.3×	64 1.2×	29 0.6×	65	452
Razib Hayat Khan	91 0.6×	26 0.5×	50 0.9×	41 0.8×	14 0.3×	43	437
Vinit Kumar Gunjan	124 0.9×	72 1.3×	51 0.9×	97 1.8×	47 0.9×	50	507
Areej Alasiry	165 1.2×	66 1.2×	55 1.0×	123 2.3×	28 0.5×	51	549
P. Subbulakshmi	87 0.6×	46 0.8×	57 1.0×	42 0.8×	50 1.0×	31	418

Countries citing papers authored by Charu Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Charu Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charu Gupta

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