A. Marrs

416 citations
23 papers · 329 · h-index 10

Impact in

Papers in

A. Marrs

22 papers receiving 301 citations

Peers

A. Marrs
Comparison fields: 5 of 45
  • Artificial Intelligence 269
  • Computer Networks and Communications 149
  • Aerospace Engineering 94
  • Control and Systems Engineering 85
  • Signal Processing 22
Replace H. Driessen with:
H. Driessen Netherlands
Hans Driessen Netherlands
Felix Govaers Germany
Xiangdong Lin United States
E.A. Bloem Netherlands
R. Streit United States
Ozgur Erdinc United States
S.M. Tonissen Australia
Guchong Li China
Mo Longbin China
A. Marrs relative to H. Driessen Netherlands H. Driessen's profile →
Citations per field
00.5×1.5×
H. Driessen · 1×
Citations per year

Countries citing papers authored by A. Marrs

Since Specialization
Citations

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

Fields of papers citing papers by A. Marrs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside A. Marrs, 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 A. Marrs Line = papers co-authored together A. Marrs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200560
2 200348
3 200440
4 200840
5 200220
6 200420
7 200319
8 200214
9
An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures
199712
10 200312
11 20098
12 20026
13 20056
14 20056
15
Incorporation of out-of-sequence measurements in non-linear dynamic systems using particle filters
20024
16 20013
17 20042
18 20002
19 20012
20 19972

About A. Marrs

A. Marrs is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Aerospace Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Fault Detection and Control Systems (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Bayesian Methods and Mixture Models (3 papers), Thin-Film Transistor Technologies (2 papers), Underwater Acoustics Research (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Inertial Sensor and Navigation (2 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Computer Networks and Communications (149 citations), Aerospace Engineering (94 citations), Control and Systems Engineering (85 citations) and Signal Processing (22 citations). A. Marrs has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Matthew Orton, Simon Maskell, Peter Willett, Marcel L. Hernandez, Neil Gordon, Mahendra Mallick, F. Palmieri, Stefano Maranò, Yaakov Bar‐Shalom and Arnaud Doucet. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Crystal Growth, Image and Vision Computing, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and IEEE Transactions on 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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