Arunesh Sinha

129 total papers · 1.8k total citations
49 papers, 618 citations indexed

About

Arunesh Sinha is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Arunesh Sinha has authored 49 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 15 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Arunesh Sinha's work include Infrastructure Resilience and Vulnerability Analysis (17 papers), Information and Cyber Security (9 papers) and Network Security and Intrusion Detection (9 papers). Arunesh Sinha is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (17 papers), Information and Cyber Security (9 papers) and Network Security and Intrusion Detection (9 papers). Arunesh Sinha collaborates with scholars based in United States, Singapore and Netherlands. Arunesh Sinha's co-authors include Michael P. Wellman, Milind Tambe, Patrick McDaniel, Nicolas Papernot, Fei Fang, Christopher Kiekintveld, Thanh H. Nguyen, Bo An, Matthew Brown and Chao Zhang and has published in prestigious journals such as IBM Journal of Research and Development, Lecture notes in computer science and AI Magazine.

In The Last Decade

Arunesh Sinha

45 papers receiving 590 citations

Author Peers

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

Author						Papers	Cites
Arunesh Sinha	292	151	126	100	95	49	618
Bushra Alhijawi	258 0.9×	133 0.9×	341 2.7×	46 0.5×	19 0.2×	35	656
Jian Lou	303 1.0×	54 0.4×	83 0.7×	152 1.5×	34 0.4×	87	693
Subrota Kumar Mondal	250 0.9×	124 0.8×	185 1.5×	43 0.4×	16 0.2×	33	637
Davy Van Deursen	255 0.9×	102 0.7×	178 1.4×	65 0.7×	46 0.5×	59	602
Albert Xin Jiang	157 0.5×	143 0.9×	77 0.6×	19 0.2×	188 2.0×	49	688
Ke Wang	372 1.3×	48 0.3×	174 1.4×	86 0.9×	34 0.4×	27	665
Mingxuan Sun	203 0.7×	128 0.8×	142 1.1×	58 0.6×	47 0.5×	53	649
John Hale	230 0.8×	264 1.7×	218 1.7×	123 1.2×	9 0.1×	66	615
Yingyuan Xiao	188 0.6×	139 0.9×	256 2.0×	76 0.8×	26 0.3×	101	558
Kamran Shafi	369 1.3×	94 0.6×	60 0.5×	50 0.5×	14 0.1×	51	673

Countries citing papers authored by Arunesh Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Arunesh Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunesh Sinha

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