N Manohar
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Plant Science
- Media Technology top 10%
- Analytical Chemistry
- Co-authors
- Atul PrakashN. Shobha RaniB R PushpaG. Hemantha KumarS AkshayM. Willebeek-LeMairEarlence FernandesM. Naghshineh
- Topics
- Vehicle License Plate Recognition (8 papers)Video Surveillance and Tracking Methods (7 papers)Handwritten Text Recognition Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- IndiaChinaUnited States
In The Last Decade
N Manohar
33 papers receiving 212 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 98
- Artificial Intelligence 44
- Plant Science 43
- Media Technology 28
- Analytical Chemistry 24
Countries citing papers authored by N Manohar
This map shows the geographic impact of N Manohar'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 N Manohar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Manohar more than expected).
Fields of papers citing papers by N Manohar
This network shows the impact of papers produced by N Manohar. 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 N Manohar. The network helps show where N Manohar may publish in the future.
Co-authorship network of co-authors of N Manohar
This figure shows the co-authorship network connecting the top 25 collaborators of N Manohar. A scholar is included among the top collaborators of N Manohar 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 N Manohar. N Manohar 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 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification. | 5 |
| 17 | 17 | |
| 18 | 7 | |
| 19 | 0 | |
| 20 | 4 |
About N Manohar
N Manohar is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 43 papers that have together received 228 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (8 papers), Video Surveillance and Tracking Methods (7 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Media Technology (28 citations) and Analytical Chemistry (24 citations). N Manohar has collaborated with scholars based in India, China and United States. Frequent co-authors include Atul Prakash, N. Shobha Rani, B R Pushpa, G. Hemantha Kumar, S Akshay, M. Willebeek-LeMair, Earlence Fernandes, M. Naghshineh, Jiefeng Chen and Somesh Jha. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and SAE technical papers on CD-ROM/SAE technical paper series.
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.