Anu G. Aggarwal

174 total papers · 1.4k total citations
104 papers, 827 citations indexed

About

Anu G. Aggarwal is a scholar working on Software, Safety, Risk, Reliability and Quality and Information Systems. According to data from OpenAlex, Anu G. Aggarwal has authored 104 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Software, 41 papers in Safety, Risk, Reliability and Quality and 31 papers in Information Systems. Recurrent topics in Anu G. Aggarwal's work include Software Reliability and Analysis Research (55 papers), Reliability and Maintenance Optimization (41 papers) and Software Engineering Research (27 papers). Anu G. Aggarwal is often cited by papers focused on Software Reliability and Analysis Research (55 papers), Reliability and Maintenance Optimization (41 papers) and Software Engineering Research (27 papers). Anu G. Aggarwal collaborates with scholars based in India, United States and Iran. Anu G. Aggarwal's co-authors include P. K. Kapur, Abhishek Tandon, Gurjeet Kaur, Hoang Pham, A. H. S. Garmabaki, Neha Gandhi, Ravi Kumar, Deepti Mehrotra, Gurinder Singh and Renu Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.

In The Last Decade

Anu G. Aggarwal

94 papers receiving 784 citations

Author Peers

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

Author						Papers	Cites
Anu G. Aggarwal	343	290	227	191	135	104	827
Avinash K. Shrivastava	319 0.9×	231 0.8×	242 1.1×	46 0.2×	22 0.2×	97	703
Ompal Singh	334 1.0×	285 1.0×	239 1.1×	28 0.1×	14 0.1×	95	703
Joseph G. Davis	88 0.3×	41 0.1×	398 1.8×	116 0.6×	50 0.4×	76	958
RJ Rob Kusters	137 0.4×	31 0.1×	429 1.9×	56 0.3×	40 0.3×	104	916
Silvia T. Acuña	88 0.3×	20 0.1×	560 2.5×	62 0.3×	46 0.3×	56	966
David Zubrow	109 0.3×	43 0.1×	446 2.0×	150 0.8×	67 0.5×	29	1.0k
David P. Tegarden	139 0.4×	15 0.1×	341 1.5×	63 0.3×	40 0.3×	34	869
Egon Berghout	102 0.3×	27 0.1×	406 1.8×	139 0.7×	119 0.9×	40	987
Joobin Choobineh	43 0.1×	13 0.0×	244 1.1×	142 0.7×	131 1.0×	39	763
María Teresa Baldassarre	192 0.6×	54 0.2×	559 2.5×	36 0.2×	42 0.3×	91	901

Countries citing papers authored by Anu G. Aggarwal

Since Specialization

Citations

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

Fields of papers citing papers by Anu G. Aggarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anu G. Aggarwal. 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 Anu G. Aggarwal. The network helps show where Anu G. Aggarwal may publish in the future.

Co-authorship network of co-authors of Anu G. Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anu G. Aggarwal. A scholar is included among the top collaborators of Anu G. Aggarwal 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 Anu G. Aggarwal. Anu G. Aggarwal 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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