Nicholas Assimakis

48 papers receiving 298 citations

Peers

Nicholas Assimakis
Comparison fields: 5 of 70
  • Artificial Intelligence 90
  • Radiology, Nuclear Medicine and Imaging 80
  • Computer Vision and Pattern Recognition 73
  • Ophthalmology 58
  • Aerospace Engineering 50
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Countries citing papers authored by Nicholas Assimakis

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Assimakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Assimakis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Assimakis. A scholar is included among the top collaborators of Nicholas Assimakis 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 Nicholas Assimakis. Nicholas Assimakis 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
#WorkIndexed citations
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Kalman Filter Gain Elimination in Linear Estimation
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7 1
8 5
9 15
10 85
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Riccati Equation Solution Method for the Computation of the Solutions of X + A T X 1 A = Q and XA T X 1 A = Q †
1
12
Discrete Time Kalman and Lainiotis 1 Filters Comparison
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Generalizations of the trapezoid inequalities based on a new mean value theorem for the remainder in Taylor's formula.
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Optimal distributed algorithms the solution of the discrete time Riccati equation
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15
Recursive solutions of the discrete time Riccati equation
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Steady state Kalman filter: a new approach
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17 15
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Fast and numerically robust recursive algorithms for solving the discrete time Riccati equation: the case of nonsingular plant noise covariance matrix
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Fast and stable algorithm for computing the principal square root of a complex matrix.
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About Nicholas Assimakis

Nicholas Assimakis is a scholar working on Numerical Analysis, Artificial Intelligence and Aerospace Engineering, having authored 50 papers that have together received 307 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (22 papers), Inertial Sensor and Navigation (15 papers) and Matrix Theory and Algorithms (9 papers). The work is most often cited by research in Ophthalmology (58 citations), Numerical Analysis (20 citations) and Computer Vision and Pattern Recognition (73 citations). Nicholas Assimakis has collaborated with scholars based in Greece, United States and Italy. Frequent co-authors include Konstantinos K. Delibasis, D.G. Lainiotis, Sokratis Katsikas, Aphrodite Ktena, Alfonso Farina, A. M. Stamatelos, Emmanouil Ζ. Psarakis, Christos G. Tsinos, Simone Tassani and Thanasis Loukopoulos. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Mathematical Analysis and Applications and Energies.

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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