Daniel E. Clark
Impact in
- Artificial Intelligence top 0.5%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Aerospace Engineering top 1%
- Infrared Target Detection Methodologies
- Robotics and Sensor-Based Localization
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 88
- Gaussian Processes and Bayesian Inference 17
- Bayesian Methods and Mixture Models 10
-
- Distributed Sensor Networks and Detection Algorithms 42
- Co-authors
- Ba‐Ngu Vo (16 shared papers)Branko Ristić (14 shared papers)Ba-Tuong Vo (7 shared papers)J. S. Bell (6 shared papers)Kusha Panta (3 shared papers)Murat Üney (10 shared papers)Simon Julier (5 shared papers)Jérémie Houssineau (30 shared papers)
- Journals
- IEEE Transactions on Signal Processing (12 papers)IEEE Transactions on Aerospace and Electronic Systems (10 papers)IEEE Journal of Selected Topics in Signal Processing (4 papers)IEEE Transactions on Information Theory (2 papers)Research in Learning Technology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Daniel E. Clark
113 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 2.6k
- Aerospace Engineering 1.1k
- Computer Networks and Communications 973
- Oceanography 409
- Ocean Engineering 299
Countries citing papers authored by Daniel E. Clark
This map shows the geographic impact of Daniel E. Clark'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 Daniel E. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Clark more than expected).
Fields of papers citing papers by Daniel E. Clark
This network shows the impact of papers produced by Daniel E. Clark. 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 Daniel E. Clark. The network helps show where Daniel E. Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Clark, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | 2011 | 232 | |
| 3 | 2009 | 189 | |
| 4 | 2013 | 174 | |
| 5 | 2006 | 138 | |
| 6 | 2010 | 114 | |
| 7 | 2011 | 113 | |
| 8 | 2007 | 110 | |
| 9 | 2006 | 103 | |
| 10 | 2007 | 95 | |
| 11 | 2010 | 93 | |
| 12 | 2006 | 89 | |
| 13 | 2013 | 85 | |
| 14 | 2009 | 72 | |
| 15 | 2005 | 71 | |
| 16 | 2011 | 71 | |
| 17 | 2007 | 57 | |
| 18 | 2013 | 53 | |
| 19 | 2010 | 47 | |
| 20 | 2006 | 44 |
About Daniel E. Clark
Daniel E. Clark is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (88 papers), Distributed Sensor Networks and Detection Algorithms (42 papers), Gaussian Processes and Bayesian Inference (17 papers), Infrared Target Detection Methodologies (14 papers), Robotics and Sensor-Based Localization (11 papers), Bayesian Methods and Mixture Models (10 papers), Underwater Acoustics Research (9 papers) and Fault Detection and Control Systems (9 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Aerospace Engineering (1.1k citations), Computer Networks and Communications (973 citations), Oceanography (409 citations) and Ocean Engineering (299 citations). Daniel E. Clark has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Ba‐Ngu Vo, Branko Ristić, Ba-Tuong Vo, J. S. Bell, Kusha Panta, Murat Üney, Simon Julier, Jérémie Houssineau, Emmanuel Delande and Ronald Mahler. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Information Theory and Research in Learning Technology.
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.