Amadou Gning

1.1k total citations
42 papers, 798 citations indexed

About

Amadou Gning is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Amadou Gning has authored 42 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Amadou Gning's work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Control Systems and Identification (10 papers) and Gaussian Processes and Bayesian Inference (9 papers). Amadou Gning is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (34 papers), Control Systems and Identification (10 papers) and Gaussian Processes and Bayesian Inference (9 papers). Amadou Gning collaborates with scholars based in United Kingdom, France and Australia. Amadou Gning's co-authors include Lyudmila Mihaylova, Philippe Bonnifait, Fahed Abdallah, Simon Godsill, Sze Kim Pang, Branko Ristić, François Septier, Avishy Carmi, Donka Angelova and René Boel and has published in prestigious journals such as Automatica, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Amadou Gning

41 papers receiving 774 citations

Peers

Amadou Gning
S. Challa Australia
X Rong Li United States
Martin Ulmke Germany
Weidong Ding Australia
Tod Luginbuhl United States
S. Challa Australia
Amadou Gning
Citations per year, relative to Amadou Gning Amadou Gning (= 1×) peers S. Challa

Countries citing papers authored by Amadou Gning

Since Specialization
Citations

This map shows the geographic impact of Amadou Gning'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 Amadou Gning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amadou Gning more than expected).

Fields of papers citing papers by Amadou Gning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amadou Gning. 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 Amadou Gning. The network helps show where Amadou Gning may publish in the future.

Co-authorship network of co-authors of Amadou Gning

This figure shows the co-authorship network connecting the top 25 collaborators of Amadou Gning. A scholar is included among the top collaborators of Amadou Gning 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 Amadou Gning. Amadou Gning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gning, Amadou, et al.. (2023). Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics. Applied Sciences. 13(8). 5065–5065. 5 indexed citations
2.
Mihaylova, Lyudmila, Amadou Gning, Marek Schikora, et al.. (2018). A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Transactions on Aerospace and Electronic Systems. 55(4). 1640–1655. 22 indexed citations
3.
Julier, Simon & Amadou Gning. (2015). Bernoulli filtering on a moving platform. International Conference on Information Fusion. 1511–1518. 3 indexed citations
4.
Mihaylova, Lyudmila, et al.. (2014). Crowd tracking with box particle filtering. International Conference on Information Fusion. 1–7. 5 indexed citations
5.
Gning, Amadou, et al.. (2013). Introduction to the Box Particle Filtering. IEEE Signal Processing Magazine. 5 indexed citations
6.
Angelova, Donka, et al.. (2013). A convolution particle filtering approach for tracking elliptical extended objects. Lancaster EPrints (Lancaster University). 1542–1549. 12 indexed citations
7.
Gning, Amadou, Simon Julier, & Lyudmila Mihaylova. (2013). Non-linear state estimation using imprecise samples. UCL Discovery (University College London). 2110–2116. 1 indexed citations
8.
Gning, Amadou, et al.. (2012). Box Particle Filtering for extended object tracking. Lancaster EPrints (Lancaster University). 82–89. 19 indexed citations
9.
Schikora, Marek, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, & Wolfgang Koch. (2012). Box-particle PHD filter for multi-target tracking. Lancaster EPrints (Lancaster University). 106–113. 16 indexed citations
10.
Gning, Amadou, Branko Ristić, & Lyudmila Mihaylova. (2012). Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty. IEEE Transactions on Signal Processing. 60(5). 2138–2151. 60 indexed citations
11.
Gning, Amadou, Branko Ristić, & Lyudmila Mihaylova. (2011). A box particle filter for stochastic and set-theoretic measurements with association uncertainty. Lancaster EPrints (Lancaster University). 1–8. 7 indexed citations
12.
Mihaylova, Lyudmila, et al.. (2011). A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation. Lancaster EPrints (Lancaster University). 1–8. 26 indexed citations
13.
Mihaylova, Lyudmila, et al.. (2011). A Sequential Monte Carlo Approach for Extended Object Tracking in the Presence of Clutter. Lancaster EPrints (Lancaster University). 494. 2 indexed citations
14.
Ristić, Branko, Amadou Gning, & Lyudmila Mihaylova. (2011). Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty. Lancaster EPrints (Lancaster University). 1–8. 5 indexed citations
15.
Gning, Amadou & Lyudmila Mihaylova. (2009). Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. Lancaster EPrints (Lancaster University). 656–663. 2 indexed citations
16.
Mihaylova, Lyudmila, et al.. (2009). Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation.. Lancaster EPrints (Lancaster University). 2321–2333. 2 indexed citations
17.
Gning, Amadou, et al.. (2008). Ground target group structure and state estimation with particle filtering. Cambridge University Engineering Department Publications Database. 1–8. 5 indexed citations
18.
Gning, Amadou, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, & Simon Godsill. (2008). Evolving networks for group object motion estimation. 97–106. 3 indexed citations
19.
Gning, Amadou & Philippe Bonnifait. (2006). Constraints propagation techniques on intervals for a guaranteed localization using redundant data. Automatica. 42(7). 1167–1175. 49 indexed citations
20.
Gning, Amadou & Philippe Bonnifait. (2004). Guaranteed dynamic localization using constraints propagation techniques on real intervals. 23. 1499–1504 Vol.2. 9 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.

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