Amandeep Verma
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Information Systems and Management top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Sakshi KaushalRaj JoshiMayank DaveAkashdeep SharmaAlok MishraSarbjeet SinghAnand PatwardhanNeelam Goel
- Topics
- Cloud Computing and Resource Management (17 papers)Distributed and Parallel Computing Systems (12 papers)IoT and Edge/Fog Computing (12 papers)
- Journals
- Pattern RecognitionNuclear Engineering and DesignJournal of Visual Communication and Image Representation
- Partner nations
- India
In The Last Decade
Amandeep Verma
33 papers receiving 753 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 660
- Information Systems 652
- Information Systems and Management 137
- Artificial Intelligence 103
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Amandeep Verma
This map shows the geographic impact of Amandeep Verma'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 Amandeep Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amandeep Verma more than expected).
Fields of papers citing papers by Amandeep Verma
This network shows the impact of papers produced by Amandeep Verma. 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 Amandeep Verma. The network helps show where Amandeep Verma may publish in the future.
Co-authorship network of co-authors of Amandeep Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Amandeep Verma. A scholar is included among the top collaborators of Amandeep Verma 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 Amandeep Verma. Amandeep Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | Cervical Cell Classification Using Random Forests | 1 |
| 8 | 19 | |
| 9 | 0 | |
| 10 | Wrecked Indian Fonts: A Problem for Digitalization of Indic Documents | 1 |
| 11 | 1 | |
| 12 | 59 | |
| 13 | 57 | |
| 14 | 17 | |
| 15 | 19 | |
| 16 | 68 | |
| 17 | 2 | |
| 18 | 97 | |
| 19 | 4 | |
| 20 | Comparison of AODV, OLSR, TORA and OSPFv3 at Terrestrial Level | 1 |
About Amandeep Verma
Amandeep Verma is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 808 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), Distributed and Parallel Computing Systems (12 papers) and IoT and Edge/Fog Computing (12 papers). The work is most often cited by research in Information Systems (652 citations), Computer Networks and Communications (660 citations) and Information Systems and Management (137 citations). Amandeep Verma has collaborated with scholars based in India. Frequent co-authors include Sakshi Kaushal, Raj Joshi, Mayank Dave, Akashdeep Sharma, Alok Mishra, Sarbjeet Singh, Anand Patwardhan, Neelam Goel, Tania Das Gupta and Dalwinder Singh. Their work appears in journals such as Pattern Recognition, Nuclear Engineering and Design and Journal of Visual Communication and Image Representation.
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.