| Supernova 2006aj and the associated X-Ray Flash 060218 J Sollerman, AO Jaunsen, JPU Fynbo, J Hjorth, P Jakobsson, ... Astronomy & Astrophysics 454 (2), 503-509, 2006 | 227 | 2006 |
| Testing reflection features in 4U 1705− 44 with XMM-Newton, BeppoSAX, and RXTE in the hard and soft states E Egron, T Di Salvo, S Motta, L Burderi, A Papitto, R Duro, A D’Aì, ... Astronomy & Astrophysics 550, A5, 2013 | 60 | 2013 |
| The broad iron Kα line of Cygnus X-1 as seen by XMM-Newton in the EPIC-pn modified timing mode R Duro, T Dauser, J Wilms, K Pottschmidt, MA Nowak, S Fritz, ... Astronomy & Astrophysics 533, L3, 2011 | 55 | 2011 |
| Chandra X-ray spectroscopy of focused wind in the Cygnus X-1 system-II. The non-dip spectrum in the low/hard state–modulations with orbital phase I Miškovičová, N Hell, M Hanke, MA Nowak, K Pottschmidt, NS Schulz, ... Astronomy & Astrophysics 590, A114, 2016 | 49 | 2016 |
| Revealing the broad iron Kα line in Cygnus X-1 through simultaneous XMM-Newton, RXTE, and INTEGRAL observations R Duro, T Dauser, V Grinberg, I Miškovičová, J Rodriguez, J Tomsick, ... Astronomy & Astrophysics 589, A14, 2016 | 30 | 2016 |
| A Suzaku observation of Mkn 590 reveals a vanishing soft excess E Rivers, A Markowitz, R Duro, R Rothschild The Astrophysical Journal 759 (1), 63, 2012 | 27 | 2012 |
| Requirements Engineering for Semantic Sensors in Crisis and Disaster Management GS Bojan Božić, Mert Gençtürk, Refiz Duro, Yildiray Kabak Environmental Software Systems. Infrastructures, Services and Applications …, 2015 | 9* | 2015 |
| Interoperability profiles for disaster management and maritime surveillance M Gencturk, R Duro, Y Kabak, B Božic, K Kahveci, B Yilmaz eChallenges e-2015 Conference, 1-9, 2015 | 4 | 2015 |
| EMERGENCY MAPS TOOL–facilitating collaboration and decision making during emergency & crises situations G Schimak, P Kutschera, R Duro, K Kutschera | 3 | 2016 |
| C2-SENSE: the emergency interoperability framework and knowledge management R Duro, G Schimak INSPIRE Geospatial World Forum (GWF 2015), 2015 | 3 | 2015 |
| Boosting the automated Information Processing for Reconnaissance R Duro, M Andresel, C Singewald, V Siska, A Weißenfeld, D Ignjatović 2023 IEEE International Workshop on Technologies for Defense and Security …, 2023 | 2 | 2023 |
| The potential of monitoring traffic conditions up to 15 times a day using sub-meter resolution EO images R Duro, G Neubauer, AI Bojor EGU General Assembly Conference Abstracts, EGU21-12831, 2021 | 2 | 2021 |
| Satellite imagery and on-site crowdsourcing for improved crisis resilience R Duro, T Gasber, MM Chen, S Sippl, D Auferbauer, P Kutschera, AI Bojor, ... 2019 15th International Conference on Telecommunications (ConTEL), 1-6, 2019 | 2 | 2019 |
| Properties of a fast state transition in Cygnus X‐1 M Böck, J Wilms, V Grinberg, K Pottschmidt, M Hanke, S Markoff, ... AIP Conference Proceedings 1248 (1), 143-144, 2010 | 2 | 2010 |
| Collaboration and decision making tool for emergency & crises situations G Schimak, R Duro, P Kutschera 6th International Disaster and Risk Conference IDRC Davos 2016, 2016 | 1 | 2016 |
| INTEGRAL detects the hard X-ray brightening of 4U 1630-47 A Bodaghee, A Popp, V Grinberg, A Manousakis, M Turler, E Bozzo, ... The Astronomer's Telegram 3945, 1, 2012 | 1 | 2012 |
| AI-Enabled Services for Reconnaissance R Duro, R Simon, C Singewald ERCIM NEWS-European Research Consortium for Informatics and Mathematics, 32-33, 2023 | | 2023 |
| How Quickly do Trees Grow? R Duro, H Kirchmeir, A Zolles, G Bronner ERCIM NEWS-European Research Consortium for Informatics and Mathematics, 35-36, 2023 | | 2023 |
| AI4 Trees–AI for climate sensitive tree growth modelling A Zolles, S Schüler, J Lampert, R Duro, G Bronner, H Kirchmeir, ... | | 2022 |
| AI for Climate Sensitive Tree Growth Modelling and Maximum Carbon Segregation (AI4Trees) J Lampert, R Duro, G Bronner, V Berger, H Kirchmeir, M Gritsch, D Hewitt, ... ForestSAT 2022 conference, 2022 | | 2022 |
