Daniel E. Clark

16.8k citations
117 papers · 3.1k indexed · h-index 30

Impact in

Papers in

Daniel E. Clark

112 papers receiving 3.0k citations

Peers

Daniel E. Clark
Comparison fields: 5 of 120
  • Artificial Intelligence 2.6k
  • Computer Networks and Communications 943
  • Aerospace Engineering 1.0k
  • Oceanography 403
  • Signal Processing 201
Replace Mark R. Morelande with:
Mark R. Morelande Australia
Dominic Schuhmacher Switzerland
J.H. Kotecha United States
Todd E. Humphreys United States
Fred Daum United States
Patrick Y. Hwang United States
Pau Closas United States
W.D. Blair United States
Mark L. Psiaki United States
Marco Lops Italy
Daniel E. Clark relative to Mark R. Morelande Australia Mark R. Morelande's profile →
Citations per field
00.5×1.5×1.8×
Mark R. Morelande · 1×
Citations per year

Countries citing papers authored by Daniel E. Clark

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel E. Clark Line = papers co-authored together Daniel E. Clark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012234
2 2011220
3 2009181
4 2013167
5 2006135
6 2010109
7 2011108
8 2007107
9 200699
10 200795
11 201090
12 200684
13 201382
14 200971
15 200570
16 201168
17 201353
18 200753
19 201045
20 200643

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 Electrical and Electronic Engineering, having authored 117 papers that have together received 3.1k 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), Fault Detection and Control Systems (9 papers) and Underwater Acoustics Research (9 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Networks and Communications (943 citations), Aerospace Engineering (1.0k citations), Oceanography (403 citations) and Signal Processing (201 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 Legal Medicine.

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.

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