Aldo Lipani

1.7k total citations · 1 hit paper
60 papers, 857 citations indexed

About

Aldo Lipani is a scholar working on Artificial Intelligence, Information Systems and Environmental Engineering. According to data from OpenAlex, Aldo Lipani has authored 60 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 19 papers in Information Systems and 9 papers in Environmental Engineering. Recurrent topics in Aldo Lipani's work include Topic Modeling (26 papers), Information Retrieval and Search Behavior (14 papers) and Speech and dialogue systems (7 papers). Aldo Lipani is often cited by papers focused on Topic Modeling (26 papers), Information Retrieval and Search Behavior (14 papers) and Speech and dialogue systems (7 papers). Aldo Lipani collaborates with scholars based in United Kingdom, Austria and Italy. Aldo Lipani's co-authors include Calogero Schillaci, Emine Yılmaz, Luigi Lombardo, Sergio Saia, Marco Acutis, Michael Märker, Maria Fantappiè, J. Boehm, Mihai Lupu and Allan Hanbury and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Aldo Lipani

57 papers receiving 825 citations

Hit Papers

Automatic blight disease detection in potato (Solanum tub... 2023 2026 2024 2025 2023 20 40 60

Peers

Aldo Lipani
Saleh A. Wasimi Australia
Aldo Lipani
Citations per year, relative to Aldo Lipani Aldo Lipani (= 1×) peers Saleh A. Wasimi

Countries citing papers authored by Aldo Lipani

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Lipani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldo Lipani

This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Lipani. A scholar is included among the top collaborators of Aldo Lipani 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 Aldo Lipani. Aldo Lipani 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
2.
Wang, Zilin, Meili Feng, Matthew F. Johnson, Aldo Lipani, & Faith Ka Shun Chan. (2025). The role of reservoir size in driving methane emissions in China. Water Research. 279. 123441–123441.
3.
Tanyaş, Hakan, et al.. (2024). Distribution-agnostic landslide hazard modelling via Graph Transformers. Environmental Modelling & Software. 183. 106231–106231. 1 indexed citations
4.
Rahmani, Hossein A., et al.. (2024). Transparent and Scrutable Recommendations Using Natural Language User Profiles. 13971–13984. 1 indexed citations
5.
Shi, Zhengxiang & Aldo Lipani. (2023). Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis. 169–174. 2 indexed citations
7.
Rahmani, Hossein A., et al.. (2023). A Survey on Asking Clarification Questions Datasets in Conversational Systems. 3 indexed citations
8.
Shi, Zhengxiang, et al.. (2023). Lexical Entrainment for Conversational Systems. 278–293.
9.
Wang, Zilin, et al.. (2023). Climate and environmental data contribute to the prediction of grain commodity prices using deep learning. SHILAP Revista de lepidopterología. 2(3). 251–265. 4 indexed citations
10.
Fu, Xiao & Aldo Lipani. (2023). Priming and Actions: An Analysis in Conversational Search Systems. 2277–2281. 3 indexed citations
11.
Lipani, Aldo, et al.. (2022). Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 115–126. 29 indexed citations
12.
Schillaci, Calogero, et al.. (2022). Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function. Results in Physics. 35. 105374–105374. 11 indexed citations
13.
Schillaci, Calogero, et al.. (2021). Predicting non-residential building fire risk using geospatial information and convolutional neural networks. Remote Sensing Applications Society and Environment. 21. 100470–100470. 18 indexed citations
15.
Schillaci, Calogero, Sergio Saia, Aldo Lipani, et al.. (2021). Validating the regional estimates of changes in soil organic carbon by using the data from paired-sites: the case study of Mediterranean arable lands. Carbon Balance and Management. 16(1). 19–19. 5 indexed citations
16.
Ibrahim, Mohamed R., et al.. (2021). Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe. PLoS ONE. 16(1). e0246120–e0246120. 26 indexed citations
17.
Zhang, Qiang, et al.. (2020). Self-Attentive Hawkes Process. UCL Discovery (University College London). 1. 11183–11193. 22 indexed citations
18.
Lipani, Aldo. (2019). On Biases in Information Retrieval Models and Evaluation. ACM SIGIR Forum. 52(2). 172–173. 1 indexed citations
19.
Lipani, Aldo. (2016). Fairness in Information Retrieval. 1171–1171. 12 indexed citations
20.
Lipani, Aldo, Guido Zuccon, Mihai Lupu, Bevan Koopman, & Allan Hanbury. (2016). The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias. 105–108. 9 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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