Alexander Sorokin
- Computer Science Applications top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Information Systems top 10%
- Co-authors
- David ForsythG. LaughlinChristopher WrenYuri IvanovNicolas LoeffHimanshu AroraAli FarhadiDerek Hoiem
- Topics
- Enterprise Management and Information Systems (3 papers)Video Surveillance and Tracking Methods (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Proceedings of the IEEEIEEE Transactions on Visualization and Computer GraphicsNeural Information Processing Systems
- Partner nations
- United StatesRussia
In The Last Decade
Alexander Sorokin
10 papers receiving 616 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Science Applications 317
- Artificial Intelligence 301
- Computer Vision and Pattern Recognition 266
- Management Science and Operations Research 109
- Information Systems 59
Countries citing papers authored by Alexander Sorokin
This map shows the geographic impact of Alexander Sorokin'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 Alexander Sorokin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Sorokin more than expected).
Fields of papers citing papers by Alexander Sorokin
This network shows the impact of papers produced by Alexander Sorokin. 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 Alexander Sorokin. The network helps show where Alexander Sorokin may publish in the future.
Co-authorship network of co-authors of Alexander Sorokin
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Sorokin. A scholar is included among the top collaborators of Alexander Sorokin 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 Alexander Sorokin. Alexander Sorokin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Programmatic gold: targeted and scalable quality assurance in crowdsourcing | 130 |
| 6 | 19 | |
| 7 | 10 | |
| 8 | Utility data annotation with Amazon Mechanical Turkbreakdown → | 426 |
| 9 | 41 | |
| 10 | 16 | |
| 11 | Efficient Unsupervised Learning for Localization and Detection in Object Categories | 19 |
About Alexander Sorokin
Alexander Sorokin is a scholar working on Management of Technology and Innovation, Computer Science Applications and Management Information Systems, having authored 11 papers that have together received 666 indexed citations. Recurring topics across this work include Enterprise Management and Information Systems (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Science Applications (317 citations), Computer Vision and Pattern Recognition (266 citations) and Artificial Intelligence (301 citations). Alexander Sorokin has collaborated with scholars based in United States and Russia. Frequent co-authors include David Forsyth, G. Laughlin, Christopher Wren, Yuri Ivanov, Nicolas Loeff, Himanshu Arora, Ali Farhadi, Derek Hoiem, Gang Wang and Ian Endres. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Visualization and Computer Graphics 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.