Anuradha Chug

118 total papers · 1.7k total citations
83 papers, 991 citations indexed

About

Anuradha Chug is a scholar working on Information Systems, Software and Plant Science. According to data from OpenAlex, Anuradha Chug has authored 83 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Information Systems, 38 papers in Software and 32 papers in Plant Science. Recurrent topics in Anuradha Chug's work include Software Engineering Research (40 papers), Software Reliability and Analysis Research (38 papers) and Smart Agriculture and AI (27 papers). Anuradha Chug is often cited by papers focused on Software Engineering Research (40 papers), Software Reliability and Analysis Research (38 papers) and Smart Agriculture and AI (27 papers). Anuradha Chug collaborates with scholars based in India and United States. Anuradha Chug's co-authors include Amit Prakash Singh, Ruchika Malhotra, Shradha Verma, T. Velmurugan, Dinesh Singh, Sanjay S. Dhall, Shikha Gupta, Vimal Singh, Ashu Jain and Ravinder Pal Singh and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Soft Computing.

In The Last Decade

Anuradha Chug

77 papers receiving 926 citations

Author Peers

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

Author Last Decade Papers Cites
Anuradha Chug 435 384 289 181 156 83 991
Waleed Albattah 298 0.7× 99 0.3× 52 0.2× 96 0.5× 204 1.3× 55 879
Hui Liu 128 0.3× 185 0.5× 62 0.2× 346 1.9× 352 2.3× 115 1.2k
Sateesh K. Peddoju 148 0.3× 411 1.1× 109 0.4× 754 4.2× 254 1.6× 61 1.1k
R. Uday Kiran 134 0.3× 541 1.4× 17 0.1× 130 0.7× 298 1.9× 78 922
Yu Chen 227 0.5× 349 0.9× 102 0.4× 710 3.9× 345 2.2× 69 1.2k
Jinqiu Yang 19 0.0× 550 1.4× 349 1.2× 165 0.9× 277 1.8× 43 884
Lei Xu 39 0.1× 532 1.4× 257 0.9× 328 1.8× 584 3.7× 98 1.2k
Marwan Ali Albahar 126 0.3× 163 0.4× 11 0.0× 271 1.5× 417 2.7× 57 961
C. D. Jaidhar 186 0.4× 290 0.8× 28 0.1× 365 2.0× 218 1.4× 52 796
Dae‐Kyoo Kim 32 0.1× 695 1.8× 313 1.1× 251 1.4× 615 3.9× 79 1.0k

Countries citing papers authored by Anuradha Chug

Since Specialization
Citations

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

Fields of papers citing papers by Anuradha Chug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuradha Chug

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