Institution
Polytechnic University of Milan
Education•Milan, Italy•
About: Polytechnic University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Finite element method & Population. The organization has 18231 authors who have published 58416 publications receiving 1229711 citations. The organization is also known as: PoliMi & L-NESS.
Topics: Finite element method, Population, Laser, Nonlinear system, Detector
Papers published on a yearly basis
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Janssen Pharmaceutica1, University of Padua2, Open University3, Tel Aviv University4, Ames Research Center5, European Space Agency6, Agenzia Spaziale Italiana7, Centre national de la recherche scientifique8, Finnish Meteorological Institute9, Austrian Academy of Sciences10, Spanish National Research Council11, University of Murcia12, University of Cologne13, University of Catania14, Polytechnic University of Milan15, Boston University16
TL;DR: The temperature and density profiles, as determined by the Huygens Atmospheric Structure Instrument (HASI), from an altitude of 1,400 km down to the surface were higher than expected and the extent of atmospheric electricity was also hitherto unknown.
Abstract: On the basis of previous ground-based and fly-by information, we knew that Titan's atmosphere was mainly nitrogen, with some methane, but its temperature and pressure profiles were poorly constrained because of uncertainties in the detailed composition. The extent of atmospheric electricity (‘lightning’) was also hitherto unknown. Here we report the temperature and density profiles, as determined by the Huygens Atmospheric Structure Instrument (HASI), from an altitude of 1,400 km down to the surface. In the upper part of the atmosphere, the temperature and density were both higher than expected. There is a lower ionospheric layer between 140 km and 40 km, with electrical conductivity peaking near 60 km. We may also have seen the signature of lightning. At the surface, the temperature was 93.65 ± 0.25 K, and the pressure was 1,467 ± 1 hPa.
643 citations
TL;DR: In such nonstationary environments, where the probabilistic properties of the data change over time, a non-adaptive model trained under the false stationarity assumption is bound to become obsolete in time, and perform sub-optimally at best, or fail catastrophically at worst.
Abstract: The prevalence of mobile phones, the internet-of-things technology, and networks of sensors has led to an enormous and ever increasing amount of data that are now more commonly available in a streaming fashion [1]-[5]. Often, it is assumed - either implicitly or explicitly - that the process generating such a stream of data is stationary, that is, the data are drawn from a fixed, albeit unknown probability distribution. In many real-world scenarios, however, such an assumption is simply not true, and the underlying process generating the data stream is characterized by an intrinsic nonstationary (or evolving or drifting) phenomenon. The nonstationarity can be due, for example, to seasonality or periodicity effects, changes in the users' habits or preferences, hardware or software faults affecting a cyber-physical system, thermal drifts or aging effects in sensors. In such nonstationary environments, where the probabilistic properties of the data change over time, a non-adaptive model trained under the false stationarity assumption is bound to become obsolete in time, and perform sub-optimally at best, or fail catastrophically at worst.
640 citations
TL;DR: The authors found that the volume of cross-border mergers is lower when countries are more culturally distant and that greater cultural distance in trust and individualism leads to lower combined announcement returns.
Abstract: We find strong evidence that three key dimensions of national culture (trust, hierarchy, and individualism) affect merger volume and synergy gains. The volume of cross-border mergers is lower when countries are more culturally distant. In addition, greater cultural distance in trust and individualism leads to lower combined announcement returns. These findings are robust to year and country-level fixed effects, time-varying country-pair and deal-level variables, as well as instrumental variables for cultural differences based on genetic and somatic differences. The results are the first large-scale evidence that cultural differences have substantial impacts on multiple aspects of cross-border mergers.
634 citations
TL;DR: In this article, different typologies of urban expansion were defined, and an impact index weighting differently journey-to-work trips with reference to mode and time length was built at the municipality level, confirming the expected "wasteful" character of sprawling development patterns in terms of land consumption, though suggesting that recent urban development is becoming relatively "virtuous" with respect to the past.
627 citations
University of Copenhagen1, École Polytechnique Fédérale de Lausanne2, University of Michigan3, Ramon Llull University4, Purdue University5, European School of Management and Technology6, Aarhus University7, University of Surrey8, Royal Holloway, University of London9, Maastricht University10, Johannes Kepler University of Linz11, Copenhagen Business School12, Royal Institute of Technology13, University of Southern California14, Simon Fraser University15, University of Erlangen-Nuremberg16, University of Wisconsin–Milwaukee17, RWTH Aachen University18, University of Southern Denmark19, Polytechnic University of Milan20, Babson College21, Imperial College London22
TL;DR: In this article, the authors present opportunities for future research on OI, organized at different levels of analysis, and discuss some of the contingencies at these different levels, and argue that future research needs to study OI - originally an organisational-level phenomenon.
Abstract: This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation.
623 citations
Authors
Showing all 18743 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Alex J. Barker | 132 | 1273 | 84746 |
| Pierluigi Zotto | 128 | 1197 | 78259 |
| Andrea C. Ferrari | 126 | 636 | 124533 |
| Marco Dorigo | 105 | 657 | 91418 |
| Marcello Giroletti | 103 | 558 | 41565 |
| Luciano Gattinoni | 103 | 610 | 48055 |
| Luca Benini | 101 | 1453 | 47862 |
| Alberto Sangiovanni-Vincentelli | 99 | 934 | 45201 |
| Surendra P. Shah | 99 | 710 | 32832 |
| X. Sunney Xie | 98 | 225 | 44104 |
| Peter Nijkamp | 97 | 2407 | 50826 |
| Nicola Neri | 92 | 1122 | 41986 |
| Ursula Keller | 92 | 934 | 33229 |
| A. Rizzi | 91 | 653 | 40038 |
| Martin J. Blunt | 89 | 485 | 29225 |