Shreya Goyal
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Mechanics of Materials
- Civil and Structural Engineering
- Co-authors
- Balaraman RavindranMitesh M. KhapraSumanth DoddapaneniArun KumarVinay Anand TikkiwalAndy RuinaGaurav BhatnagarChiranjoy Chattopadhyay
- Topics
- Advanced MEMS and NEMS Technologies (4 papers)3D Surveying and Cultural Heritage (4 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Radiation Oncology*Biology*PhysicsACM Computing Surveys
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Shreya Goyal
31 papers receiving 421 citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 175
- Control and Systems Engineering 104
- Artificial Intelligence 95
- Mechanics of Materials 66
- Civil and Structural Engineering 50
Countries citing papers authored by Shreya Goyal
This map shows the geographic impact of Shreya Goyal'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 Shreya Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreya Goyal more than expected).
Fields of papers citing papers by Shreya Goyal
This network shows the impact of papers produced by Shreya Goyal. 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 Shreya Goyal. The network helps show where Shreya Goyal may publish in the future.
Co-authorship network of co-authors of Shreya Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Shreya Goyal. A scholar is included among the top collaborators of Shreya Goyal 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 Shreya Goyal. Shreya Goyal 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 63 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 40 | |
| 12 | 1 | |
| 13 | Model-following Neuro-adaptive approach for robust control of high performance aircrafts | 0 |
| 14 | Principles of Control Systems | 4 |
| 15 | Control Systems Engineering | 82 |
| 16 | 3 | |
| 17 | 40 | |
| 18 | 1 | |
| 19 | 36 | |
| 20 | The COMPASS Expert System: Verification, Technology Transfer, and Expansion. | 8 |
About Shreya Goyal
Shreya Goyal is a scholar working on Geology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 35 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (104 citations), Geology (21 citations) and Electrical and Electronic Engineering (175 citations). Shreya Goyal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Balaraman Ravindran, Mitesh M. Khapra, Sumanth Doddapaneni, Arun Kumar, Vinay Anand Tikkiwal, Andy Ruina, Gaurav Bhatnagar, Chiranjoy Chattopadhyay, David S. Prerau and Michael Sheehy. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and ACM Computing Surveys.
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.