Michael Isard
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Computer Networks and Communications top 0.1%
- Advanced Data Storage Technologies
Papers in
-
- Advanced Data Storage Technologies 16
- Distributed systems and fault tolerance 13
- Distributed and Parallel Computing Systems 11
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- Advanced Image and Video Retrieval Techniques 11
- Advanced Vision and Imaging 10
- Image Retrieval and Classification Techniques 9
- Co-authors
- Andrew Blake (19 shared papers)James Philbin (5 shared papers)Ondřej Chum (4 shared papers)Josef Šivic (4 shared papers)Andrew Zisserman (4 shared papers)Yuan Yu (9 shared papers)Andrew Birrell (11 shared papers)Mihai Budiu (6 shared papers)
- Journals
- International Journal of Computer Vision (5 papers)Communications of the ACM (3 papers)ACM SIGPLAN Notices (2 papers)Lecture notes in computer science (12 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Michael Isard
85 papers receiving 18.3k citations
Michael Isard's Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 13.1k
- Computer Networks and Communications 4.8k
- Hardware and Architecture 1.2k
- Information Systems 3.9k
- Human-Computer Interaction 863
Countries citing papers authored by Michael Isard
This map shows the geographic impact of Michael Isard'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 Michael Isard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Isard more than expected).
Fields of papers citing papers by Michael Isard
This network shows the impact of papers produced by Michael Isard. 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 Michael Isard. The network helps show where Michael Isard may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Isard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CONDENSATION—Conditional Density Propagation for Visual Tracking Hit paper breakdown → | 1998 | 3916 |
| 2 | Object retrieval with large vocabularies and fast spatial matching Hit paper breakdown → | 2007 | 2200 |
| 3 | Dryad Hit paper breakdown → | 2007 | 1885 |
| 4 | Lost in quantization: Improving particular object retrieval in large scale image databases Hit paper breakdown → | 2008 | 1077 |
| 5 | Contour tracking by stochastic propagation of conditional density Hit paper breakdown → | 1996 | 760 |
| 6 | Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval Hit paper breakdown → | 2007 | 671 |
| 7 | Active Contours Hit paper breakdown → | 1998 | 654 |
| 8 | Quincy Hit paper breakdown → | 2009 | 644 |
| 9 | DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level language Hit paper breakdown → | 2008 | 558 |
| 10 | BraMBLe: a Bayesian multiple-blob tracker Hit paper breakdown → | 2002 | 509 |
| 11 | Naiad Hit paper breakdown → | 2013 | 504 |
| 12 | Dryad Hit paper breakdown → | 2007 | 463 |
| 13 | 1998 | 449 | |
| 14 | A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics Hit paper breakdown → | 2013 | 442 |
| 15 | 2000 | 372 | |
| 16 | 2009 | 322 | |
| 17 | 2004 | 310 | |
| 18 | Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion | 2000 | 256 |
| 19 | 2002 | 229 | |
| 20 | 2003 | 159 |
About Michael Isard
Michael Isard is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 88 papers that have together received 19.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Cloud Computing and Resource Management (17 papers), Advanced Data Storage Technologies (16 papers), Distributed systems and fault tolerance (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Distributed and Parallel Computing Systems (11 papers), Advanced Vision and Imaging (10 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.1k citations), Computer Networks and Communications (4.8k citations), Hardware and Architecture (1.2k citations), Information Systems (3.9k citations) and Human-Computer Interaction (863 citations). Michael Isard has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Andrew Blake, James Philbin, Ondřej Chum, Josef Šivic, Andrew Zisserman, Yuan Yu, Andrew Birrell, Mihai Budiu, Dennis Fetterly and John MacCormick. Their work appears in journals such as International Journal of Computer Vision, Communications of the ACM, ACM SIGPLAN Notices, Lecture notes in computer science and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.