D.G. Lainiotis

2.8k citations
112 papers · 2.1k indexed · h-index 22

D.G. Lainiotis

110 papers receiving 1.9k citations

Peers

D.G. Lainiotis
Comparison fields: 5 of 80
  • Control and Systems Engineering 1.1k
  • Artificial Intelligence 1.3k
  • Signal Processing 260
  • Computer Networks and Communications 328
  • Numerical Analysis 77
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Citations per year

Countries citing papers authored by D.G. Lainiotis

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Lainiotis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Lainiotis. 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 D.G. Lainiotis. The network helps show where D.G. Lainiotis may publish in the future.

Co-authorship network

The 16 scholars most cited alongside D.G. Lainiotis, 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 D.G. Lainiotis Line = papers co-authored together D.G. Lainiotis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Optimal distributed algorithms the solution of the discrete time Riccati equation
20051
2
Recursive solutions of the discrete time Riccati equation
20037
3
Steady state Kalman filter: a new approach
20033
4 20028
5
Estimation for Linear Systems with Non-Gaussian Initial State: Centralized and Decentralized Partitioning Algorithms.
19980
6 199715
7
Fast and numerically robust recursive algorithms for solving the discrete time Riccati equation: the case of nonsingular plant noise covariance matrix
199513
8 199412
9
Fast and stable algorithm for computing the principal square root of a complex matrix.
19933
10 198838
11 19871
12 197910
13 19782
14 1976249
15 197610
16 197612
17 197621
18 19747
19 197218
20 197113

About D.G. Lainiotis

D.G. Lainiotis is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Signal Processing and Statistical and Nonlinear Physics, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (69 papers), Fault Detection and Control Systems (34 papers), Control Systems and Identification (28 papers), Neural Networks and Applications (23 papers), Distributed Sensor Networks and Detection Algorithms (21 papers), Advanced Adaptive Filtering Techniques (11 papers), Inertial Sensor and Navigation (11 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Artificial Intelligence (1.3k citations), Signal Processing (260 citations), Computer Networks and Communications (328 citations) and Numerical Analysis (77 citations). D.G. Lainiotis has collaborated with scholars based in United States, Greece and Canada. Frequent co-authors include Sokratis Katsikas, Jayant G. Deshpande, Johnny Henderson, D.T. Magill, Nicholas Assimakis, Konstantinos N. Plataniotis, R. L. Sengbush, Spiridon Likothanassis, John S. Baras and Dominick Andrisani. Their work appears in journals such as IEEE Transactions on Automatic Control, Information Sciences, IEEE Transactions on Information Theory, International Journal of Control and Signal Processing.

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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