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).
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-authorship network of co-authors of Daniel E. Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Clark.
A scholar is included among the top collaborators of Daniel E. Clark 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 Daniel E. Clark. Daniel E. Clark is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clark, Daniel E., et al.. (2021). Using Machine Learning Methods to Predict the Movement Trajectories of the Louisiana Black Bear. SMU Scholar (Southern Methodist University). 5(1). 11.1 indexed citations
Üney, Murat, B. Mulgrew, & Daniel E. Clark. (2016). Distributed localisation of sensors with partially overlapping field-of-views in fusion networks. Edinburgh Research Explorer (University of Edinburgh). 1340–1347.8 indexed citations
11.
Clark, Daniel E. & Jérémie Houssineau. (2012). Hierarchical interacting stochastic population processes. arXiv (Cornell University).1 indexed citations
12.
Clark, Daniel E. & Ronald Mahler. (2012). Generalized PHD filters via a general chain rule. International Conference on Information Fusion. 157–164.25 indexed citations
13.
Clark, Daniel E., et al.. (2012). The PHD filter for extended target tracking with estimable extent shape parameters of varying size. International Conference on Information Fusion. 1111–1118.16 indexed citations
14.
Houssineau, Jérémie, et al.. (2012). Disparity space: A parameterisation for Bayesian triangulation from multiple cameras. International Conference on Information Fusion. 1734–1740.2 indexed citations
15.
Clark, Daniel E., et al.. (2011). The single-group PHD filter: An analytic solution. International Conference on Information Fusion. 1–8.38 indexed citations
16.
Üney, Murat, Daniel E. Clark, & Simon Julier. (2011). Information measures in distributed multitarget tracking. UCL Discovery (University College London). 1–8.22 indexed citations
17.
Clark, Daniel E., et al.. (2011). Fast sequential Monte Carlo PHD smoothing. International Conference on Information Fusion. 1–7.6 indexed citations
18.
Clark, Daniel E., Ba-Tuong Vo, & Ba‐Ngu Vo. (2009). Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking. UWA Profiles and Research Repository (University of Western Australia). 899–906.6 indexed citations
19.
Vo, Ba‐Ngu, et al.. (2008). Gaussian mixture implementations of phd filters for non-linear dynamical models. Cambridge University Engineering Department Publications Database.2 indexed citations
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.