Rupal Srivastava

413 citations
8 papers · 260 · 1 hit paper · h-index 4

Impact in

Papers in

Rupal Srivastava

8 papers receiving 250 citations

Rupal Srivastava's Hit Papers

Applications of Digital Twin across Industries: A Review 2022 · 202 citations
2020+1+2Years since publication50100150200

Peers

Rupal Srivastava
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 137
  • Medical Laboratory Technology 5
  • Safety, Risk, Reliability and Quality 26
  • Geology 13
  • Management of Technology and Innovation 14
Replace Max Kirkpatrick with:
Max Kirkpatrick United States
Marco Pirozzi Italy
Jörg Siegert Germany
Yang Yi China
Ana Djuric United States
Chengxi Li Hong Kong
Mikael Hedlind Sweden
Dianliang Wu China
Thorsten Augspurger Germany
Rupal Srivastava relative to Max Kirkpatrick United States Max Kirkpatrick's profile →
Citations per field
00.5×
Max Kirkpatrick · 1×
Citations per year

Countries citing papers authored by Rupal Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Rupal Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Rupal Srivastava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rupal Srivastava Line = papers co-authored together Rupal Srivastava links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Applications of Digital Twin across Industries: A Review
Hit paper breakdown →
2022202
2 202232
3 202013
4 20176
5 20223
6 20222
7 20231
8 20221

About Rupal Srivastava

Rupal Srivastava is a scholar working on Materials Chemistry, Mechanical Engineering, Biomedical Engineering, Civil and Structural Engineering and Rehabilitation, having authored 8 papers that have together received 260 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (3 papers), Mineral Processing and Grinding (1 paper), Hand Gesture Recognition Systems (1 paper), Optical measurement and interference techniques (1 paper), Ergonomics and Human Factors (1 paper), Belt Conveyor Systems Engineering (1 paper), Digital Transformation in Industry (1 paper) and Cellular and Composite Structures (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (137 citations), Medical Laboratory Technology (5 citations), Safety, Risk, Reliability and Quality (26 citations), Geology (13 citations) and Management of Technology and Innovation (14 citations). Rupal Srivastava has collaborated with scholars based in Ireland, India and Yemen. Frequent co-authors include Declan M. Devine, Niall Murray, Yuansong Qiao, Vladimir Kuts, Maulshree Singh, Evert Fuenmayor, Bishakh Bhattacharya, Saeed Hamood Alsamhi and Eddie Armstrong. Their work appears in journals such as Sensors, Applied Sciences, Smart Materials and Structures, Journal of Vibration Engineering & Technologies and 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

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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