Angira Sharma

514 total citations · 1 hit paper
2 papers, 279 citations indexed

About

Angira Sharma is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Angira Sharma has authored 2 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Angira Sharma's work include IoT and Edge/Fog Computing (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Digital Transformation in Industry (1 paper). Angira Sharma is often cited by papers focused on IoT and Edge/Fog Computing (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Digital Transformation in Industry (1 paper). Angira Sharma collaborates with scholars based in United Kingdom and India. Angira Sharma's co-authors include Anisoara Calinescu, Jie Zhang, Alexandra Brintrup and Edward Elson Kosasih and has published in prestigious journals such as Journal of Industrial Information Integration.

In The Last Decade

Angira Sharma

1 paper receiving 264 citations

Hit Papers

Digital Twins: State of the art theory and practice, chal... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Angira Sharma
Comparison fields: 5 of 73
  • Industrial and Manufacturing Engineering 180
  • Information Systems 36
  • Building and Construction 30
  • Computer Networks and Communications 30
  • Control and Systems Engineering 24
Ziqi Huang China
Elmahdi Bentafat Qatar
Rongli Zhao China
Behrang Ashtari Talkhestani Germany
Wolfgang Schloegl Germany
Karel Kruger South Africa
Silviu Răileanu Romania
Stefan Freiberger Germany
William Derigent France
Ziqi Huang China View profile →
Citations per field, relative to Angira Sharma
Angira Sharma · 1×
Citations per year, relative to Angira Sharma
Angira Sharma · 1×

Countries citing papers authored by Angira Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Angira Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angira Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Angira Sharma. A scholar is included among the top collaborators of Angira 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 Angira Sharma. Angira Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
# Title Journal Authors Indexed citations
1 Digital Twins: State of the art theory and practice, challenges, and open research questions breakdown → Journal of Industrial Information Integration Angira Sharma, Edward Elson Kosasih et al. 279
2 Inductive transfer learning applied to graph coloring problem using Sudoku Angira Sharma et al. 0

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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