Sarbjeet Singh
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Mala KalraRavneet KaurJagpreet SidhuMohit KumarSharad SharmaAnubhav GoelNitish ChopraKeir Bovis
- Topics
- Cloud Computing and Resource Management (25 papers)IoT and Edge/Fog Computing (19 papers)Distributed and Parallel Computing Systems (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition
- Partner nations
- IndiaUnited KingdomNepal
In The Last Decade
Sarbjeet Singh
80 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Information Systems 1.1k
- Computer Networks and Communications 1.0k
- Artificial Intelligence 479
- Computer Vision and Pattern Recognition 270
- Industrial and Manufacturing Engineering 90
Countries citing papers authored by Sarbjeet Singh
This map shows the geographic impact of Sarbjeet 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 Sarbjeet Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarbjeet Singh more than expected).
Fields of papers citing papers by Sarbjeet Singh
This network shows the impact of papers produced by Sarbjeet 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 Sarbjeet Singh. The network helps show where Sarbjeet Singh may publish in the future.
Co-authorship network of co-authors of Sarbjeet Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sarbjeet Singh. A scholar is included among the top collaborators of Sarbjeet 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 Sarbjeet Singh. Sarbjeet 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | Using the improved PROMETHEE for selection of trustworthy cloud database servers. | 3 |
| 9 | A comprehensive survey for scheduling techniques in cloud computingbreakdown → | 267 |
| 10 | 33 | |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 18 | |
| 15 | Review of Implicit Security Mechanisms for Cloud Computing | 1 |
| 16 | Robust & Accurate Face Recognition using Histograms | 5 |
| 17 | Design and Implementation of Multi-tier Authentication Scheme in Cloud | 19 |
| 18 | 6 | |
| 19 | A Privacy, Trust and Policy based Authorization Framework for Services in Distributed Environments | 21 |
| 20 | 73 |
About Sarbjeet Singh
Sarbjeet Singh is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (25 papers), IoT and Edge/Fog Computing (19 papers) and Distributed and Parallel Computing Systems (19 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Networks and Communications (1.0k citations) and Artificial Intelligence (479 citations). Sarbjeet Singh has collaborated with scholars based in India, United Kingdom and Nepal. Frequent co-authors include Mala Kalra, Ravneet Kaur, Jagpreet Sidhu, Mohit Kumar, Sharad Sharma, Anubhav Goel, Nitish Chopra, Keir Bovis, Harish Kumar and Dilip Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.
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.