Pau Closas

Electrical and Electronic Engineering · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 25 citations into it; #11,821 of 16,539 by trust here, #13,553 by citations
• Computer Networks and Communications — 12 citations into it
• Artificial Intelligence — 11 citations into it; #29,046 of 35,345 by trust here, #28,481 by citations
• Aerospace Engineering — 10 citations into it
• Ocean Engineering — 8 citations into it; #2,399 of 3,193 by trust here, #2,164 by citations

Whom Pau Closas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Simon Justin Julier
2. Naomi S. Altman
3. Jeffrey K. Uhlmann
4. Tim Bailey
5. Mauro Brunato
6. Koen Langendoen
7. Neil J. Gordon
8. Dieter Fox
9. Sinan Gezici
10. V. Padmanabhan

Who trusts Pau Closas overall

1. Pavel Davidson
2. J. A. del Peral-Rosado

Papers from Pau Closas's perspective

Ordered by how strongly the researchers Pau Closas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
2. Sequential Monte Carlo Methods in Practice
3. New extension of the Kalman filter to nonlinear systems
4. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (IEEE Signal Processing Magazine)
5. A Counter Example to the Theory of Simulataneous Localization and Map Building (IEEE International Conference on Robotics and Automation)
6. Data association in stochastic mapping using the joint compatibility test (IEEE Trans. Robotics Autom.)
7. Convex position estimation in wireless sensor networks (Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213))
8. FastSLAM 2.0: an improved particle filtering algorithm for simultaneous localization and mapping that provably converges (International Joint Conference on Artificial Intelligence)
9. Fundamental Limits of Wideband Localization— Part I: A General Framework (IEEE Transactions on Information Theory)
10. Statistical learning theory for location fingerprinting in wireless LANs (Comput. Networks)

Their papers

• Indoor Tracking: Theory, Methods, and Technologies (2015) — 542 citations