Neetesh Sharma

18 total papers · 913 total citations
11 papers, 696 citations indexed

About

Neetesh Sharma is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Neetesh Sharma has authored 11 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Civil and Structural Engineering, 6 papers in Statistics, Probability and Uncertainty and 2 papers in Sociology and Political Science. Recurrent topics in Neetesh Sharma's work include Infrastructure Resilience and Vulnerability Analysis (10 papers), Probabilistic and Robust Engineering Design (6 papers) and Disaster Management and Resilience (2 papers). Neetesh Sharma is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (10 papers), Probabilistic and Robust Engineering Design (6 papers) and Disaster Management and Resilience (2 papers). Neetesh Sharma collaborates with scholars based in United States. Neetesh Sharma's co-authors include Paolo Gardoni and Armin Tabandeh and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Reliability Engineering & System Safety and Computer-Aided Civil and Infrastructure Engineering.

In The Last Decade

Neetesh Sharma

11 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Neetesh Sharma	587	278	103	99	77	11	696
Xing Min	554 0.9×	202 0.7×	161 1.6×	126 1.3×	68 0.9×	10	672
Henrik Hassel	445 0.8×	234 0.8×	182 1.8×	138 1.4×	131 1.7×	37	754
Kenneth G. Crowther	582 1.0×	306 1.1×	227 2.2×	145 1.5×	165 2.1×	24	776
Charles Nicholson	401 0.7×	137 0.5×	153 1.5×	86 0.9×	100 1.3×	31	774
Roberto Guidotti	598 1.0×	105 0.4×	200 1.9×	69 0.7×	39 0.5×	18	770
Katja Berdica	404 0.7×	104 0.4×	98 1.0×	40 0.4×	69 0.9×	8	595
Zhaoyang Song	361 0.6×	84 0.3×	66 0.6×	56 0.6×	32 0.4×	23	554
Tom Petersen	388 0.7×	87 0.3×	89 0.9×	51 0.5×	51 0.7×	17	646
Chenyang Lian	591 1.0×	292 1.1×	215 2.1×	138 1.4×	165 2.1×	6	699
Elisabeth Paté‐Cornell	122 0.2×	285 1.0×	117 1.1×	67 0.7×	59 0.8×	28	655

Countries citing papers authored by Neetesh Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Neetesh Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neetesh Sharma

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