Mark A. Paskin
Impact in
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- Energy Efficient Wireless Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
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- Video Surveillance and Tracking Methods
Papers in
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- Bayesian Modeling and Causal Inference 4
- Target Tracking and Data Fusion in Sensor Networks 3
- Machine Learning and Algorithms 3
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- Distributed Sensor Networks and Detection Algorithms 5
- Energy Efficient Wireless Sensor Networks 4
- Co-authors
- Carlos Guestrin (6 shared papers)Peter Bodík (1 shared paper)Samuel Madden (1 shared paper)Kevin P. Murphy (1 shared paper)Rahul Sukthankar (2 shared papers)Stanislav Funiak (2 shared papers)Praveen Seshadri (1 shared paper)Stuart Russell (1 shared paper)
- Journals
- Uncertainty in Artificial Intelligence (1 paper)Information Processing in Sensor Networks (1 paper)Neural Information Processing Systems (2 papers)UC Berkeley (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Mark A. Paskin
15 papers receiving 913 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 487
- Computer Vision and Pattern Recognition 274
- Artificial Intelligence 405
- Signal Processing 132
- Aerospace Engineering 217
Countries citing papers authored by Mark A. Paskin
This map shows the geographic impact of Mark A. Paskin'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 Mark A. Paskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Paskin more than expected).
Fields of papers citing papers by Mark A. Paskin
This network shows the impact of papers produced by Mark A. Paskin. 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 Mark A. Paskin. The network helps show where Mark A. Paskin may publish in the future.
Co-authors
The 8 scholars most cited alongside Mark A. Paskin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 301 | |
| 2 | Thin junction tree filters for simultaneous localization and mapping | 2003 | 146 |
| 3 | Linear-time inference in Hierarchical HMMs | 2001 | 110 |
| 4 | 2005 | 92 | |
| 5 | 2006 | 88 | |
| 6 | 2006 | 77 | |
| 7 | 2004 | 56 | |
| 8 | 2005 | 49 | |
| 9 | 1997 | 21 | |
| 10 | Maximum-Entropy Probabilistic Logics | 2001 | 11 |
| 11 | Junction tree algorithms for solving sparse linear systems | 2003 | 11 |
| 12 | Sample Propagation | 2003 | 8 |
| 13 | Thin Junction Tree Filtering for Simultaneous Localization and Mapping | 2002 | 8 |
| 14 | Exploiting locality in probabilistic inference | 2004 | 6 |
| 15 | Cubic-time Parsing and Learning Algorithms for Grammatical Bigram | 2001 | 6 |
About Mark A. Paskin
Mark A. Paskin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 15 papers that have together received 990 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (5 papers), Robotics and Sensor-Based Localization (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Bayesian Modeling and Causal Inference (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Machine Learning and Algorithms (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (487 citations), Computer Vision and Pattern Recognition (274 citations), Artificial Intelligence (405 citations), Signal Processing (132 citations) and Aerospace Engineering (217 citations). Mark A. Paskin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carlos Guestrin, Peter Bodík, Samuel Madden, Kevin P. Murphy, Rahul Sukthankar, Stanislav Funiak, Praveen Seshadri and Stuart Russell. Their work appears in journals such as Uncertainty in Artificial Intelligence, Information Processing in Sensor Networks, Neural Information Processing Systems and UC Berkeley.
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.