Antonio Annis

1.1k total citations
23 papers, 696 citations indexed

About

Antonio Annis is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Antonio Annis has authored 23 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 16 papers in Water Science and Technology and 9 papers in Ecology. Recurrent topics in Antonio Annis's work include Flood Risk Assessment and Management (20 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Sediment Transport Processes (8 papers). Antonio Annis is often cited by papers focused on Flood Risk Assessment and Management (20 papers), Hydrology and Watershed Management Studies (16 papers) and Hydrology and Sediment Transport Processes (8 papers). Antonio Annis collaborates with scholars based in Italy, United States and Sweden. Antonio Annis's co-authors include Fernando Nardi, Salvatore Grimaldi, Ryan R. Morrison, Giuliano Di Baldassarre, Enrique R. Vivoni, Fabio Castelli, Matteo Convertino, Francesco Pugliese, Chiara Biscarini and Francesco De Paola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hydrology and earth system sciences and Agricultural Water Management.

In The Last Decade

Antonio Annis

22 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Annis Italy 14 555 371 190 167 110 23 696
Kyungrock Paik South Korea 15 349 0.6× 320 0.9× 159 0.8× 155 0.9× 191 1.7× 41 692
Giorgio Roth Italy 17 635 1.1× 521 1.4× 215 1.1× 245 1.5× 133 1.2× 31 819
Caterina Samela Italy 16 703 1.3× 478 1.3× 202 1.1× 164 1.0× 168 1.5× 29 825
Carmelina Costanzo Italy 19 850 1.5× 582 1.6× 165 0.9× 387 2.3× 185 1.7× 36 1.0k
Kel Markert United States 14 384 0.7× 187 0.5× 133 0.7× 147 0.9× 162 1.5× 36 564
Mohammad Amin Asadi Zarch Iran 10 833 1.5× 264 0.7× 90 0.5× 164 1.0× 87 0.8× 12 973
B. Shifteh Some’e Iran 11 811 1.5× 282 0.8× 78 0.4× 246 1.5× 149 1.4× 11 962
Tiexi Chen China 17 642 1.2× 177 0.5× 148 0.8× 243 1.5× 173 1.6× 51 872
Joy Sanyal India 11 729 1.3× 428 1.2× 135 0.7× 184 1.1× 240 2.2× 16 862
Paolo Villani Italy 13 552 1.0× 325 0.9× 141 0.7× 231 1.4× 143 1.3× 52 883

Countries citing papers authored by Antonio Annis

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Annis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Annis

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Annis. A scholar is included among the top collaborators of Antonio Annis 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 Antonio Annis. Antonio Annis 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.
2.
Grimaldi, Salvatore, Simon Michael Papalexiou, Andrea Petroselli‬, et al.. (2024). Optimizing sensor location for the parsimonious design of flood early warning systems. SHILAP Revista de lepidopterología. 24. 100182–100182. 5 indexed citations
3.
Fiori, Aldo, et al.. (2023). The role of residual risk on flood damage assessment: A continuous hydrologic-hydraulic modelling approach for the historical city of Rome, Italy. Journal of Hydrology Regional Studies. 49. 101506–101506. 9 indexed citations
4.
Annis, Antonio, Fernando Nardi, & Fabio Castelli. (2022). Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping. Hydrology and earth system sciences. 26(4). 1019–1041. 18 indexed citations
5.
Rajib, Adnan, Heather E. Golden, Qiusheng Wu, et al.. (2021). The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Scientific Data. 8(1). 271–271. 31 indexed citations
6.
Annis, Antonio, Fernando Nardi, & Fabio Castelli. (2021). Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real time flood mapping. Research Padua Archive (University of Padua). 2 indexed citations
7.
8.
Annis, Antonio, et al.. (2021). On the influence of river Basin morphology and climate on hydrogeomorphic floodplain delineations. Advances in Water Resources. 159. 104078–104078. 13 indexed citations
9.
Baldassarre, Giuliano Di, Fernando Nardi, Antonio Annis, et al.. (2020). Brief communication: Comparing top-down and bottom-up paradigms for global flood hazard mapping. Research Padua Archive (University of Padua). 5 indexed citations
10.
Baldassarre, Giuliano Di, Fernando Nardi, Antonio Annis, et al.. (2020). Brief communication: Comparing hydrological and hydrogeomorphic paradigms for global flood hazard mapping. Natural hazards and earth system sciences. 20(5). 1415–1419. 24 indexed citations
11.
Annis, Antonio, Fernando Nardi, Elena Volpi, & Aldo Fiori. (2020). Quantifying the relative impact of hydrological and hydraulic modelling parameterizations on uncertainty of inundation maps. Hydrological Sciences Journal. 65(4). 507–523. 39 indexed citations
12.
Annis, Antonio, Fernando Nardi, Andrea Petroselli‬, et al.. (2020). UAV-DEMs for Small-Scale Flood Hazard Mapping. Water. 12(6). 1717–1717. 92 indexed citations
13.
Nardi, Fernando, Antonio Annis, Giuliano Di Baldassarre, Enrique R. Vivoni, & Salvatore Grimaldi. (2019). GFPLAIN250m, a global high-resolution dataset of Earth’s floodplains. Scientific Data. 6(1). 180309–180309. 122 indexed citations
14.
Convertino, Matteo, Antonio Annis, & Fernando Nardi. (2019). Information-theoretic portfolio decision model for optimal flood management. Environmental Modelling & Software. 119. 258–274. 43 indexed citations
15.
Annis, Antonio, Fernando Nardi, Ryan R. Morrison, & Fabio Castelli. (2019). Investigating hydrogeomorphic floodplain mapping performance with varying DTM resolution and stream order. Hydrological Sciences Journal. 64(5). 525–538. 44 indexed citations
16.
Annis, Antonio & Fernando Nardi. (2019). Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping. Geo-spatial Information Science. 22(4). 223–236. 49 indexed citations
17.
Paola, Francesco De, Maurizio Giugni, Francesco Pugliese, Antonio Annis, & Fernando Nardi. (2018). GEV Parameter Estimation and Stationary vs. Non-Stationary Analysis of Extreme Rainfall in African Test Cities. Hydrology. 5(2). 28–28. 64 indexed citations
18.
Nardi, Fernando, Ryan R. Morrison, Antonio Annis, & Theodore E. Grantham. (2018). Hydrologic scaling for hydrogeomorphic floodplain mapping: Insights into human‐induced floodplain disconnectivity. River Research and Applications. 34(7). 675–685. 39 indexed citations
19.
Sulis, Andrea, et al.. (2017). Extreme wave analysis methods in the gulf of Cagliari (South Sardinia, Italy). Ocean & Coastal Management. 140. 79–87. 12 indexed citations
20.
Sulis, Andrea & Antonio Annis. (2013). Morphological response of a sandy shoreline to a natural obstacle at Sa Mesa Longa Beach, Italy. Coastal Engineering. 84. 10–22. 8 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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