Sarbjit Singh
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Modeling and Simulation top 5%
- Economics and Econometrics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kulwinder Singh ParmarJatinder KumarJatinder KaurSantosh ShrivastavaP. JeyanthiXing FangJagdish KumarPiyush Gupta
- Topics
- Air Quality Monitoring and Forecasting (4 papers)Energy Load and Power Forecasting (4 papers)Forecasting Techniques and Applications (4 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Sarbjit Singh
15 papers receiving 486 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 122
- Management Science and Operations Research 106
- Modeling and Simulation 86
- Economics and Econometrics 83
- Electrical and Electronic Engineering 79
Countries citing papers authored by Sarbjit Singh
This map shows the geographic impact of Sarbjit 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 Sarbjit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarbjit Singh more than expected).
Fields of papers citing papers by Sarbjit Singh
This network shows the impact of papers produced by Sarbjit 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 Sarbjit Singh. The network helps show where Sarbjit Singh may publish in the future.
Co-authorship network of co-authors of Sarbjit Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sarbjit Singh. A scholar is included among the top collaborators of Sarbjit 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 Sarbjit Singh. Sarbjit 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 | 5 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | Autoregressive models in environmental forecasting time series: a theoretical and application reviewbreakdown → | 97 |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 34 | |
| 8 | 58 | |
| 9 | 84 | |
| 10 | 121 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | Semi-Supervised Deep Neural Network for Network Intrusion Detection | 32 |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 51 | |
| 17 | ADVANCES IN VISION-BASED DETECTION OF DRIVER FATIGUE | 2 |
About Sarbjit Singh
Sarbjit Singh is a scholar working on Modeling and Simulation, Management Science and Operations Research and Environmental Engineering, having authored 17 papers that have together received 511 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (4 papers), Energy Load and Power Forecasting (4 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Management Science and Operations Research (106 citations) and Environmental Engineering (68 citations). Sarbjit Singh has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Kulwinder Singh Parmar, Jatinder Kumar, Jatinder Kaur, Santosh Shrivastava, P. Jeyanthi, Xing Fang, Jagdish Kumar, Piyush Gupta, Xiaohong Yuan and Arunabha Datta. Their work appears in journals such as Green Chemistry, Environmental Science and Pollution Research and Chaos Solitons & Fractals.
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.