Atul Sajjanhar
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Guojun LuColleen C. NelsonMelanie LehmanJiyuan AnJohn LaiYishuo ZhangBahadorreza OfoghiZhaoqi Wu
- Topics
- Image Retrieval and Classification Techniques (24 papers)Advanced Image and Video Retrieval Techniques (15 papers)Face and Expression Recognition (8 papers)
In The Last Decade
Atul Sajjanhar
47 papers receiving 531 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 210
- Plant Science 122
- Artificial Intelligence 91
- Computer Networks and Communications 79
- Information Systems 79
Countries citing papers authored by Atul Sajjanhar
This map shows the geographic impact of Atul Sajjanhar'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 Atul Sajjanhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Sajjanhar more than expected).
Fields of papers citing papers by Atul Sajjanhar
This network shows the impact of papers produced by Atul Sajjanhar. 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 Atul Sajjanhar. The network helps show where Atul Sajjanhar may publish in the future.
Co-authorship network of co-authors of Atul Sajjanhar
This figure shows the co-authorship network connecting the top 25 collaborators of Atul Sajjanhar. A scholar is included among the top collaborators of Atul Sajjanhar 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 Atul Sajjanhar. Atul Sajjanhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | Image-based feature representation for insider threat classification | 31 |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 78 | |
| 12 | Algorithm for Web Services Matching | 9 |
| 13 | Coherence based histograms for shape retrieval | 6 |
| 14 | Angular histograms for shape retrieval | 1 |
| 15 | Discriminating Shape Descriptors Based on Connectivity | 3 |
| 16 | Image retrieval using modified Generic Fourier Descriptors | 2 |
| 17 | On Performance Measurement of Multimedia Information Retrieval Systems | 6 |
| 18 | A Comparison of Techniques for Shape Retrieval | 9 |
| 19 | An Experimental Study of Movement Invariants and Fourier Descriptors for Shape Based Image Retrieval | 6 |
| 20 | A Grid-based Shape Indexing and Retrieval Method | 2 |
About Atul Sajjanhar
Atul Sajjanhar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Science Applications, having authored 55 papers that have together received 568 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (24 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Computer Science Applications (37 citations) and Signal Processing (59 citations). Atul Sajjanhar has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Guojun Lu, Colleen C. Nelson, Melanie Lehman, Jiyuan An, John Lai, Yishuo Zhang, Bahadorreza Ofoghi, Zhaoqi Wu, Quan Wen and Yong Xiang. Their work appears in journals such as Expert Systems with Applications, BMC Bioinformatics and Computer.
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.