Denisa Rodila

694 total citations
32 papers, 498 citations indexed

About

Denisa Rodila is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Denisa Rodila has authored 32 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 12 papers in Information Systems and Management and 10 papers in Artificial Intelligence. Recurrent topics in Denisa Rodila's work include Distributed and Parallel Computing Systems (16 papers), Scientific Computing and Data Management (12 papers) and Hydrology and Watershed Management Studies (6 papers). Denisa Rodila is often cited by papers focused on Distributed and Parallel Computing Systems (16 papers), Scientific Computing and Data Management (12 papers) and Hydrology and Watershed Management Studies (6 papers). Denisa Rodila collaborates with scholars based in Romania, Switzerland and Italy. Denisa Rodila's co-authors include Grégory Giuliani, Dorian Gorgan, Victor Bâcu, Bruno Chatenoux, Pascal Peduzzi, Karin Allenbach, Andrea Bono, Hy Dao, Jean-Philippe Richard and Anthony Lehmann and has published in prestigious journals such as Remote Sensing of Environment, Computers & Geosciences and Environmental Science & Policy.

In The Last Decade

Denisa Rodila

32 papers receiving 489 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Denisa Rodila Romania 11 162 127 95 92 87 32 498
Peter Woodgate Australia 8 202 1.2× 121 1.0× 56 0.6× 148 1.6× 210 2.4× 17 711
Martin Sudmanns Austria 15 176 1.1× 187 1.5× 147 1.5× 102 1.1× 78 0.9× 37 635
Karine Reis Ferreira Brazil 13 248 1.5× 304 2.4× 100 1.1× 133 1.4× 51 0.6× 39 713
Jibo Xie China 12 105 0.6× 36 0.3× 93 1.0× 53 0.6× 75 0.9× 31 472
Hannah Augustin Austria 7 104 0.6× 125 1.0× 96 1.0× 61 0.7× 50 0.6× 19 363
Yuanzheng Shao United States 13 90 0.6× 79 0.6× 40 0.4× 74 0.8× 35 0.4× 26 314
Alaitz Zabala Spain 13 136 0.8× 104 0.8× 68 0.7× 58 0.6× 67 0.8× 43 458
Baoxuan Jin China 11 108 0.7× 63 0.5× 40 0.4× 43 0.5× 27 0.3× 27 353
Stuart Minchin Australia 6 112 0.7× 121 1.0× 48 0.5× 58 0.6× 39 0.4× 10 279
Gilberto Ribeiro de Queiroz Brazil 10 232 1.4× 354 2.8× 82 0.9× 129 1.4× 32 0.4× 32 639

Countries citing papers authored by Denisa Rodila

Since Specialization
Citations

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

Fields of papers citing papers by Denisa Rodila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denisa Rodila

This figure shows the co-authorship network connecting the top 25 collaborators of Denisa Rodila. A scholar is included among the top collaborators of Denisa Rodila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denisa Rodila. Denisa Rodila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mazzetti, P., Stefano Nativi, Mattia Santoro, et al.. (2022). Knowledge formalization for Earth Science informed decision-making: The GEOEssential Knowledge Base. Environmental Science & Policy. 131. 93–104. 16 indexed citations
2.
Lehmann, Anthony, P. Mazzetti, Mattia Santoro, et al.. (2022). Essential earth observation variables for high-level multi-scale indicators and policies. Environmental Science & Policy. 131. 105–117. 18 indexed citations
3.
Giuliani, Grégory, et al.. (2022). Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System. Land. 11(5). 615–615. 19 indexed citations
4.
Chatenoux, Bruno, Jean-Philippe Richard, David Small, et al.. (2021). The Swiss data cube, analysis ready data archive using earth observations of Switzerland. Scientific Data. 8(1). 295–295. 42 indexed citations
5.
Giuliani, Grégory, Bruno Chatenoux, Andrea Bono, et al.. (2017). Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD). Big Earth Data. 1(1-2). 100–117. 152 indexed citations
6.
Giuliani, Grégory, Hy Dao, Andrea Bono, et al.. (2017). Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations. Remote Sensing of Environment. 202. 222–233. 41 indexed citations
7.
Rodila, Denisa, Nicolas Ray, & Dorian Gorgan. (2015). Conceptual model for environmental science applications on parallel and distributed infrastructures. ENVIRONMENTAL SYSTEMS RESEARCH. 4(1). 8 indexed citations
8.
Bâcu, Victor, et al.. (2013). Mathematical Modeling of Distributed Image Processing Algorithms. International Journal of Advanced Computer Science and Applications. 3(3). 4 indexed citations
9.
Bâcu, Victor, et al.. (2013). OGC Compliant Services for Remote Sensing Processing over the Grid Infrastructure. International Journal of Advanced Computer Science and Applications. 3(3). 7 indexed citations
10.
Gorgan, Dorian, et al.. (2012). Grid based calibration of SWAT hydrological models. Natural hazards and earth system sciences. 12(7). 2411–2423. 28 indexed citations
11.
Bâcu, Victor, et al.. (2011). Grid based architectural components for SWAT model calibration. 193–199. 12 indexed citations
12.
Bâcu, Victor, et al.. (2011). gSWAT Platform for Grid Based Hydrological Model Calibration and Execution. 288–291. 7 indexed citations
13.
Bâcu, Victor, et al.. (2011). Grid Based Services and Tools for Hydrological Model Processing and Visualization. 291–298. 3 indexed citations
14.
Gorgan, Dorian, et al.. (2011). Earth Observation application development based on the Grid oriented ESIP satellite image processing platform. Computer Standards & Interfaces. 34(6). 541–548. 8 indexed citations
15.
Rodila, Denisa & Dorian Gorgan. (2011). A mediation approach in Geospatial Web services gridification. 541–548. 2 indexed citations
16.
Gorgan, Dorian, Denisa Rodila, Victor Bâcu, Grégory Giuliani, & Nicolas Ray. (2010). OGC and Grid Interoperability in enviroGRIDS Project. EGU General Assembly Conference Abstracts. 13457. 2 indexed citations
17.
Bâcu, Victor, et al.. (2010). Error prevention and recovery mechanisms in the ESIP platform. 3 indexed citations
18.
Gorgan, Dorian, Victor Bâcu, Denisa Rodila, Florin Pop, & Dana Petcu. (2010). Experiments on ESIP—Environment oriented satellite data processing platform. Earth Science Informatics. 3(4). 297–308. 21 indexed citations
19.
Gorgan, Dorian, et al.. (2009). Grid based satellite image processing platform for Earth observation application development. Zenodo (CERN European Organization for Nuclear Research). 247–252. 18 indexed citations
20.
Rodila, Denisa, Victor Bâcu, & Dorian Gorgan. (2009). Integration of satellite image operators as composed Web services in gProcess workflows. 355–358. 3 indexed citations

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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