Divya Tiwari

56 total papers · 1.1k total citations
42 papers, 767 citations indexed

About

Divya Tiwari is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Divya Tiwari has authored 42 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Divya Tiwari's work include Water Quality and Pollution Assessment (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Advanced Fiber Optic Sensors (4 papers). Divya Tiwari is often cited by papers focused on Water Quality and Pollution Assessment (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Advanced Fiber Optic Sensors (4 papers). Divya Tiwari collaborates with scholars based in United Kingdom, India and Japan. Divya Tiwari's co-authors include Steve Dunn, Ashutosh Tiwari, Windo Hutabarat, G.W. Jewell, Okechukwu Okorie, Fiona Charnley, Stephen W. James, Ralph P. Tatam, Mariale Moreno and Sergiy Korposh and has published in prestigious journals such as Applied Physics Letters, Journal of Materials Chemistry and IEEE Access.

In The Last Decade

Divya Tiwari

35 papers receiving 740 citations

Hit Papers

Digital twin in manufactu... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Divya Tiwari 239 228 164 117 111 42 767
Ning Mao 209 0.9× 189 0.8× 70 0.4× 83 0.7× 84 0.8× 79 753
Jun Zhang 93 0.4× 374 1.6× 241 1.5× 84 0.7× 77 0.7× 55 892
Qi Lu 126 0.5× 219 1.0× 142 0.9× 102 0.9× 28 0.3× 43 645
Wei Ding 367 1.5× 65 0.3× 284 1.7× 211 1.8× 108 1.0× 60 899
Wenhui Yang 325 1.4× 38 0.2× 194 1.2× 72 0.6× 39 0.4× 44 788
Liyang Xiao 210 0.9× 239 1.0× 164 1.0× 212 1.8× 68 0.6× 44 708
Chike F. Oduoza 281 1.2× 75 0.3× 58 0.4× 146 1.2× 52 0.5× 54 821
Yanling Chang 217 0.9× 48 0.2× 208 1.3× 37 0.3× 221 2.0× 18 873
Te‐Li Su 93 0.4× 248 1.1× 81 0.5× 181 1.5× 76 0.7× 54 800
Huifen Wang 231 1.0× 95 0.4× 63 0.4× 137 1.2× 102 0.9× 57 760

Countries citing papers authored by Divya Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Divya Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Tiwari

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