Anshul Paigwar
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Environmental Engineering top 10%
- Automotive Engineering top 10%
- Geology top 10%
- Co-authors
- Christian LaugierÖzgür ErkentAlessandro RenzagliaAmaury NègreChristian WolfAxel LegayShital S. ChiddarwarJean Quilbeuf
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Advanced Neural Network Applications (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Journals
- Journal of Intelligent & Robotic SystemsHAL (Le Centre pour la Communication Scientifique Directe)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))
In The Last Decade
Anshul Paigwar
15 papers receiving 242 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 118
- Aerospace Engineering 86
- Environmental Engineering 84
- Automotive Engineering 62
- Geology 49
Countries citing papers authored by Anshul Paigwar
This map shows the geographic impact of Anshul Paigwar'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 Anshul Paigwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshul Paigwar more than expected).
Fields of papers citing papers by Anshul Paigwar
This network shows the impact of papers produced by Anshul Paigwar. 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 Anshul Paigwar. The network helps show where Anshul Paigwar may publish in the future.
Co-authorship network of co-authors of Anshul Paigwar
This figure shows the co-authorship network connecting the top 25 collaborators of Anshul Paigwar. A scholar is included among the top collaborators of Anshul Paigwar 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 Anshul Paigwar. Anshul Paigwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 41 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 53 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 37 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 52 | |
| 15 | 4 |
About Anshul Paigwar
Anshul Paigwar is a scholar working on Software, Automotive Engineering and Instrumentation, having authored 15 papers that have together received 252 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Geology (49 citations), Environmental Engineering (84 citations) and Computer Vision and Pattern Recognition (118 citations). Anshul Paigwar has collaborated with scholars based in France, Türkiye and India. Frequent co-authors include Christian Laugier, Özgür Erkent, Alessandro Renzaglia, Amaury Nègre, Christian Wolf, Axel Legay, Shital S. Chiddarwar, Jean Quilbeuf, Javier Ibañez‐Guzmán and Olivier Simonin. Their work appears in journals such as Journal of Intelligent & Robotic Systems, HAL (Le Centre pour la Communication Scientifique Directe) and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.