Roopak Sinha

82 papers receiving 788 citations

Peers

Roopak Sinha
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 145
  • Hardware and Architecture 75
  • Artificial Intelligence 286
  • Oncology 212
  • Software 33
Replace Salvatore Cavalieri with:
Salvatore Cavalieri Italy
Angelo Oddi Italy
Marwan Ali Albahar Saudi Arabia
Zhuang Wang China
E.F. Khor Singapore
Mohammad Alsmirat Jordan
Sven Gowal United States
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Lorenzo Strigini United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Roopak Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Roopak Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roopak Sinha, 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 Roopak Sinha Line = papers co-authored together Roopak Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 202262
3 201847
4 202035
5 202034
6 201932
7 201929
8 201623
9 201822
10 201622
11 201518
12 202317
13 201417
14 201516
15 201815
16 202014
17 201113
18 201612
19 201112
20 202212

About Roopak Sinha

Roopak Sinha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 817 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (13 papers), Embedded Systems Design Techniques (12 papers), Formal Methods in Verification (11 papers), Advanced Software Engineering Methodologies (10 papers), Cutaneous Melanoma Detection and Management (6 papers), Smart Grid Security and Resilience (6 papers), Model-Driven Software Engineering Techniques (5 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (145 citations), Hardware and Architecture (75 citations), Artificial Intelligence (286 citations), Oncology (212 citations) and Software (33 citations). Roopak Sinha has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Hamid GholamHosseini, Ranpreet Kaur, Shereen Afifi, María Lindén, Stephen G. MacDonell, Partha S. Roop, Prakash Ranjitkar, Zeeshan Bhatti, Edmund Lai and Sayan Kumar Ray. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Applied Sciences, Computers & Security, IEEE Journal of Biomedical and Health Informatics and Electronics.

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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