Damián Marelli

1.5k citations
80 papers · 1.1k · h-index 17

Impact in

Papers in

Damián Marelli

78 papers receiving 1.1k citations

Peers

Damián Marelli
Comparison fields: 5 of 71
  • Control and Systems Engineering 585
  • Computer Networks and Communications 415
  • Artificial Intelligence 372
  • Signal Processing 115
  • Electrical and Electronic Engineering 315
Replace Anders Åhlén with:
Anders Åhlén Sweden
Iñaki Esnaola United States
Howard M. Schwartz Canada
Meng Zhang China
Alain Y. Kibangou France
Zhi Feng Singapore
Hai Zhu China
J. Reich United States
Yigang He China
Vassilis Kekatos United States
Damián Marelli relative to Anders Åhlén Sweden Anders Åhlén's profile →
Citations per field
00.5×1.5×2.1×
Anders Åhlén · 1×
Citations per year

Countries citing papers authored by Damián Marelli

Since Specialization
Citations

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

Fields of papers citing papers by Damián Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Damián Marelli, 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 Damián Marelli Line = papers co-authored together Damián Marelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 2011109
3 201284
4 201975
5 201472
6 201358
7 201457
8 202034
9 201632
10 202027
11 201824
12 201423
13 202120
14 201020
15 201016
16 200916
17 201816
18 202014
19 200914
20 201813

About Damián Marelli

Damián Marelli is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (22 papers), Distributed Sensor Networks and Detection Algorithms (18 papers), Stability and Control of Uncertain Systems (18 papers), Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (9 papers), Distributed Control Multi-Agent Systems (9 papers), Control Systems and Identification (8 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (585 citations), Computer Networks and Communications (415 citations), Artificial Intelligence (372 citations), Signal Processing (115 citations) and Electrical and Electronic Engineering (315 citations). Damián Marelli has collaborated with scholars based in Australia, China and Argentina. Frequent co-authors include Minyue Fu, Tianju Sui, Xi‐Ming Sun, Keyou You, Boris I. Godoy, Graham C. Goodwin, Yilin Mo, Torbjörn Wigren, Juan C. Agüero and Brett Ninness. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Transactions on Audio Speech and Language Processing and IEEE Sensors Journal.

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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