Amanpreet Singh
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Aakanksha SharmaNarina ThakurTiyas SarkarManik RakhraVikrant SharmaMingyang ZhouYu ZhouNing Zhang
- Topics
- Smart Systems and Machine Learning (4 papers)Internet of Things and AI (3 papers)Leadership, Behavior, and Decision-Making Studies (2 papers)
- Journals
- SHILAP Revista de lepidopterología2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Lecture notes on data engineering and communications technologies
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Amanpreet Singh
19 papers receiving 293 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 121
- Computer Vision and Pattern Recognition 44
- Information Systems 39
- Electrical and Electronic Engineering 38
- Computer Networks and Communications 35
Countries citing papers authored by Amanpreet Singh
This map shows the geographic impact of Amanpreet Singh'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 Amanpreet Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanpreet Singh more than expected).
Fields of papers citing papers by Amanpreet Singh
This network shows the impact of papers produced by Amanpreet Singh. 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 Amanpreet Singh. The network helps show where Amanpreet Singh may publish in the future.
Co-authorship network of co-authors of Amanpreet Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Amanpreet Singh. A scholar is included among the top collaborators of Amanpreet Singh 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 Amanpreet Singh. Amanpreet Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | A review of supervised machine learning algorithms | 211 |
| 16 | 7 | |
| 17 | Removal of Power Line Interference from EEG using Wavelet-Ica | 2 |
| 18 | 1 | |
| 19 | Pitch Based Raag Identification from Monophonic Indian Classical Music | 1 |
About Amanpreet Singh
Amanpreet Singh is a scholar working on Signal Processing, Management Information Systems and Management Science and Operations Research, having authored 19 papers that have together received 306 indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (4 papers), Internet of Things and AI (3 papers) and Leadership, Behavior, and Decision-Making Studies (2 papers). The work is most often cited by research in Health Information Management (25 citations), Artificial Intelligence (121 citations) and Health Informatics (4 citations). Amanpreet Singh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Aakanksha Sharma, Narina Thakur, Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, Mingyang Zhou, Yu Zhou, Ning Zhang, Licheng Yu and Mengjiao Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Lecture notes on data engineering and communications technologies.
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.