Muhammad Sajjad
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Neurology top 1%
- Signal Processing top 1%
- Co-authors
- Sung Wook BaikKhan MuhammadAmin UllahJamil AhmadIrfan MehmoodSalman KhanMustaqeem MustaqeemAli Shariq Imran
- Topics
- Video Analysis and Summarization (15 papers)Advanced Image and Video Retrieval Techniques (15 papers)Video Surveillance and Tracking Methods (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Image Processing
- Partner nations
- South KoreaPakistanNorway
In The Last Decade
Muhammad Sajjad
110 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 2.8k
- Artificial Intelligence 1.5k
- Electrical and Electronic Engineering 652
- Neurology 612
- Signal Processing 477
Countries citing papers authored by Muhammad Sajjad
This map shows the geographic impact of Muhammad Sajjad'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 Muhammad Sajjad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Sajjad more than expected).
Fields of papers citing papers by Muhammad Sajjad
This network shows the impact of papers produced by Muhammad Sajjad. 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 Muhammad Sajjad. The network helps show where Muhammad Sajjad may publish in the future.
Co-authorship network of co-authors of Muhammad Sajjad
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Sajjad. A scholar is included among the top collaborators of Muhammad Sajjad 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 Muhammad Sajjad. Muhammad Sajjad 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 57 | |
| 13 | 56 | |
| 14 | 51 | |
| 15 | 5 | |
| 16 | Improving yield and mineral profile of tomato through changing crop micro-environment. | 1 |
| 17 | Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Featuresbreakdown → | 541 |
| 18 | 83 | |
| 19 | Participation of women in agriculture activities in District Peshawar. | 25 |
| 20 | Farmers field schools and rice productivity: an empirical analysis of District Malakand. | 3 |
About Muhammad Sajjad
Muhammad Sajjad is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 116 papers that have together received 5.0k indexed citations. Recurring topics across this work include Video Analysis and Summarization (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Neurology (612 citations) and Artificial Intelligence (1.5k citations). Muhammad Sajjad has collaborated with scholars based in South Korea, Pakistan and Norway. Frequent co-authors include Sung Wook Baik, Khan Muhammad, Amin Ullah, Jamil Ahmad, Irfan Mehmood, Salman Khan, Mustaqeem Mustaqeem, Ali Shariq Imran, Tanveer Hussain and Wanqing Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.
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.