Shubham Shubham
- Pollution top 2%
- Industrial and Manufacturing Engineering top 2%
- Biomaterials top 10%
- Strategy and Management top 10%
- Biomedical Engineering
- Co-authors
- Pawan KumarPrakash Kumar JhaAnurag VermaRitesh KumarRakesh KumarArkajyoti ShomeP. V. Vara PrasadPrabhakar Sharma
- Topics
- Advanced Neural Network Applications (3 papers)Spam and Phishing Detection (2 papers)Hair Growth and Disorders (2 papers)
- Partner nations
- IndiaIraqUnited States
In The Last Decade
Shubham Shubham
10 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Pollution 356
- Industrial and Manufacturing Engineering 256
- Biomaterials 162
- Strategy and Management 59
- Biomedical Engineering 52
Countries citing papers authored by Shubham Shubham
This map shows the geographic impact of Shubham Shubham'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 Shubham Shubham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Shubham more than expected).
Fields of papers citing papers by Shubham Shubham
This network shows the impact of papers produced by Shubham Shubham. 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 Shubham Shubham. The network helps show where Shubham Shubham may publish in the future.
Co-authorship network of co-authors of Shubham Shubham
This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Shubham. A scholar is included among the top collaborators of Shubham Shubham 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 Shubham Shubham. Shubham Shubham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Impacts of Plastic Pollution on Ecosystem Services, Sustainable Development Goals, and Need to Focus on Circular Economy and Policy Interventionsbreakdown → | 573 |
| 19 | App Development using React Native, Expo and AWS | 1 |
| 20 | Classification of tweets into various categories using classification methods | 2 |
About Shubham Shubham
Shubham Shubham is a scholar working on Business and International Management, Urology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 607 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Spam and Phishing Detection (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Pollution (356 citations), Industrial and Manufacturing Engineering (256 citations) and Biomaterials (162 citations). Shubham Shubham has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include Pawan Kumar, Prakash Kumar Jha, Anurag Verma, Ritesh Kumar, Rakesh Kumar, Arkajyoti Shome, P. V. Vara Prasad, Prabhakar Sharma, Shashank Mittal and Atri Sengupta. Their work appears in journals such as Sustainability, Microbiology Spectrum and Current Psychology.
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.