This map shows the geographic impact of Mark Coates'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 Coates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Coates more than expected).
This network shows the impact of papers produced by Mark Coates. 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 Coates. The network helps show where Mark Coates may publish in the future.
Co-authorship network of co-authors of Mark Coates
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Coates.
A scholar is included among the top collaborators of Mark Coates 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 Mark Coates. Mark Coates is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Yingxue, et al.. (2021). Detection and Defense of Topological Adversarial Attacks on Graphs. International Conference on Artificial Intelligence and Statistics. 2989–2997.1 indexed citations
4.
Zhang, Yingxue, et al.. (2020). Non Parametric Graph Learning for Bayesian Graph Neural Networks. Uncertainty in Artificial Intelligence. 1318–1327.1 indexed citations
Coates, Mark, et al.. (2019). Clinical Study with a Time-Domain Microwave Breast Monitor: Analysis of the System Response and Patient Attributes. European Conference on Antennas and Propagation.9 indexed citations
Mallick, Mahendra, et al.. (2015). Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF. International Conference on Information Fusion. 1649–1656.34 indexed citations
9.
Li, Yunpeng, Emily Porter, & Mark Coates. (2015). Imaging-based classification algorithms on clinical trial data with injected tumour responses. European Conference on Antennas and Propagation. 1–5.4 indexed citations
10.
Nannuru, Santosh & Mark Coates. (2013). Multi-Bernoulli filter for superpositional sensors. International Conference on Information Fusion. 1632–1637.6 indexed citations
11.
Porter, Emily, et al.. (2011). Time-domain microwave breast cancer detection: Experiments with comprehensive glandular phantoms. Asia-Pacific Microwave Conference. 203–206.7 indexed citations
12.
Chen, Xi, et al.. (2011). Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. Information Processing in Sensor Networks. 342–353.84 indexed citations
13.
Porter, Emily, Adam Santorelli, Mark Coates, & Milica Popović. (2011). An experimental system for time-domain microwave breast imaging. European Conference on Antennas and Propagation. 2906–2910.24 indexed citations
14.
Nannuru, Santosh, et al.. (2011). Multi-target tracking for measurement models with additive contributions. International Conference on Information Fusion. 1–8.24 indexed citations
15.
Coates, Mark, et al.. (2011). Evaluation of the mono-static microwave radar algorithms for breast imaging. European Conference on Antennas and Propagation. 881–885.6 indexed citations
Porter, Emily, et al.. (2010). Improved tissue phantoms for experimental validation of microwave breast cancer detection. European Conference on Antennas and Propagation. 1–5.73 indexed citations
18.
Üstebay, Deniz, Boris N. Oreshkin, Mark Coates, & Michael Rabbat. (2009). Multi-hop Greedy Gossip with Eavesdropping. International Conference on Information Fusion. 140–145.1 indexed citations
19.
Oreshkin, Boris N., et al.. (2009). Numerical breast models for commercial FDTD simulators. European Conference on Antennas and Propagation. 263–267.3 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.