Neeraj Mohan
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Surbhi GuptaParvinder S. SandhuMandeep KaurMunish KumarArnab Kumar LahaGoutam DuttaPriyanka KaushalMustafa Sameer
- Topics
- Optical Network Technologies (7 papers)Digital Media Forensic Detection (7 papers)Advanced Optical Network Technologies (6 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- Artificial Intelligence ReviewArchives of Computational Methods in EngineeringSoft Computing
- Partner nations
- IndiaUnited States
In The Last Decade
Neeraj Mohan
27 papers receiving 318 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 113
- Electrical and Electronic Engineering 66
- Media Technology 61
- Artificial Intelligence 59
- Management Science and Operations Research 51
Countries citing papers authored by Neeraj Mohan
This map shows the geographic impact of Neeraj Mohan'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 Neeraj Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Mohan more than expected).
Fields of papers citing papers by Neeraj Mohan
This network shows the impact of papers produced by Neeraj Mohan. 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 Neeraj Mohan. The network helps show where Neeraj Mohan may publish in the future.
Co-authorship network of co-authors of Neeraj Mohan
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Mohan. A scholar is included among the top collaborators of Neeraj Mohan 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 Neeraj Mohan. Neeraj Mohan 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 | 12 | |
| 4 | 21 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | Traffic Grooming Techniques in Optical Networks: A Survey | 0 |
| 18 | Implementing Color Image Segmentation Using Biogeography Based Optimization | 12 |
| 19 | Color Reduction in RGB based on Bacteria Foraging Optimization | 1 |
| 20 | 102 |
About Neeraj Mohan
Neeraj Mohan is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Optical Network Technologies (7 papers), Digital Media Forensic Detection (7 papers) and Advanced Optical Network Technologies (6 papers). The work is most often cited by research in Media Technology (61 citations), Computer Vision and Pattern Recognition (113 citations) and Management Science and Operations Research (51 citations). Neeraj Mohan has collaborated with scholars based in India and United States. Frequent co-authors include Surbhi Gupta, Parvinder S. Sandhu, Mandeep Kaur, Munish Kumar, Arnab Kumar Laha, Goutam Dutta, Priyanka Kaushal, Mustafa Sameer, Padmalaya Nayak and Gurpreet S. Sandhu. Their work appears in journals such as Artificial Intelligence Review, Archives of Computational Methods in Engineering and Soft Computing.
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.