ImageNet Large Scale Visual Recognition Challenge2015 · 23.7k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by Sanjeev Satheesh
Since Specialization
Citations
This map shows the geographic impact of Sanjeev Satheesh'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 Sanjeev Satheesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Satheesh more than expected).
Fields of papers citing papers by Sanjeev Satheesh
This network shows the impact of papers produced by Sanjeev Satheesh. 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 Sanjeev Satheesh. The network helps show where Sanjeev Satheesh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjeev Satheesh, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Sanjeev SatheeshLine = papers co-authored togetherSanjeev Satheesh links everyone, so they are left out of the graph.
International Journal of Current Microbiology and Applied Sciences·T. Ramesh, S. Rathika, A Williams Matthew, Sanjeev Satheesh, María Francisca Colodrón Gómez, Ayano Shiroma
Sanjeev Satheesh is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing and Artificial Intelligence, having authored 15 papers that have together received 24.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Music and Audio Processing (3 papers), Topic Modeling (2 papers), Video Analysis and Summarization (2 papers), Speech Recognition and Synthesis (2 papers), Natural Language Processing Techniques (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.9k citations), Artificial Intelligence (9.2k citations), Media Technology (1.9k citations), Health Informatics (243 citations) and Radiology, Nuclear Medicine and Imaging (2.6k citations). Sanjeev Satheesh has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Alexander C. Berg, Jia Deng, Jonathan Krause, Olga Russakovsky, Li Fei-Fei, Hao Su, Andrej Karpathy, Aditya Khosla, Zhiheng Huang and Michael S. Bernstein. Their work appears in journals such as International Journal of Computer Vision, Contrast Media & Molecular Imaging, International Journal of Current Microbiology and Applied Sciences, International Conference on Artificial Intelligence and Statistics and Neural Information Processing Systems.
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.