P.O. Arambel

778 citations
26 papers · 573 · h-index 8

Impact in

Papers in

P.O. Arambel

24 papers receiving 556 citations

Peers

P.O. Arambel
Comparison fields: 5 of 47
  • Artificial Intelligence 354
  • Computer Networks and Communications 248
  • Control and Systems Engineering 223
  • Aerospace Engineering 188
  • Computer Vision and Pattern Recognition 62
Replace A. Logothetis with:
A. Logothetis Sweden
Gregory A. Watson United States
Zhanlue Zhao United States
Shozo Mori United States
Constantino Rago United States
Oliver E. Drummond United States
N. Berman Israel
J.A. Roecker United States
D. Lerro United States
P.O. Arambel relative to A. Logothetis Sweden A. Logothetis's profile →
Citations per field
00.5×6.5×
A. Logothetis · 1×
Citations per year

Countries citing papers authored by P.O. Arambel

Since Specialization
Citations

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

Fields of papers citing papers by P.O. Arambel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.O. Arambel. 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 P.O. Arambel. The network helps show where P.O. Arambel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002187
2 200197
3 201584
4 199959
5 200345
6
Generation of a fundamental data set for hard/soft information fusion
200833
7 200417
8 20057
9 20006
10 20065
11 20025
12 19995
13 19944
14 19974
15
Coordinated Dynamic Positioning of a Multi-Platform Mobile Offshore Base Using Nonlinear Model Predictive Control
20013
16 20073
17 20002
18
Fused EO/IR detection & tracking of surface targets: Flight demonstrations
20091
19 20051
20 20051

About P.O. Arambel

P.O. Arambel is a scholar working on Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 573 indexed citations. Recurring topics across this work include Control Systems and Identification (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Fault Detection and Control Systems (6 papers), Infrared Target Detection Methodologies (4 papers), Video Surveillance and Tracking Methods (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (354 citations), Computer Networks and Communications (248 citations), Control and Systems Engineering (223 citations), Aerospace Engineering (188 citations) and Computer Vision and Pattern Recognition (62 citations). P.O. Arambel has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include R.К. Mehra, Lingji Chen, Constantino Rago, Benjamin Noack, Marc Reinhardt, Uwe D. Hanebeck, Vikram Manikonda, Fred Y. Hadaegh, Candace L. Sidner and R. Prasanth. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Sadhana, IEEE Signal Processing Letters and International Journal of Robust and Nonlinear Control.

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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