Alessandro Crivellari

754 total citations · 1 hit paper
19 papers, 529 citations indexed

About

Alessandro Crivellari is a scholar working on Transportation, Signal Processing and Global and Planetary Change. According to data from OpenAlex, Alessandro Crivellari has authored 19 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 5 papers in Signal Processing and 5 papers in Global and Planetary Change. Recurrent topics in Alessandro Crivellari's work include Human Mobility and Location-Based Analysis (8 papers), Data Management and Algorithms (5 papers) and Landslides and related hazards (3 papers). Alessandro Crivellari is often cited by papers focused on Human Mobility and Location-Based Analysis (8 papers), Data Management and Algorithms (5 papers) and Landslides and related hazards (3 papers). Alessandro Crivellari collaborates with scholars based in Austria, China and United States. Alessandro Crivellari's co-authors include Euro Beinat, Thomas Blaschke, Omid Ghorbanzadeh, Pedram Ghamisi, Hejar Shahabi, Saeid Homayouni, Alina Ristea, Bernd Resch, Ronald András Kolcsár and Chunmiao Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Business Research.

In The Last Decade

Alessandro Crivellari

19 papers receiving 517 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Landslide detection using deep learning and object-based image analysis

2022 127 citations Omid Ghorbanzadeh, Hejar Shahabi et al. Landslides profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alessandro Crivellari Austria	12	204	196	105	89	81	19	529
Mohammad Karimi Iran	15	99 0.5×	394 2.0×	53 0.5×	75 0.8×	124 1.5×	46	801
Ya Hu China	15	70 0.3×	154 0.8×	36 0.3×	49 0.6×	63 0.8×	30	578
Mohammadreza Karami Iran	10	159 0.8×	148 0.8×	29 0.3×	57 0.6×	33 0.4×	18	541
Firoozeh Karimi United States	8	143 0.7×	337 1.7×	26 0.2×	49 0.6×	109 1.3×	10	524
Yiquan Song China	12	139 0.7×	231 1.2×	29 0.3×	32 0.4×	55 0.7×	29	534
Venkatesh Raghavan Japan	13	83 0.4×	116 0.6×	33 0.3×	74 0.8×	222 2.7×	54	605
Shenghua Xu China	12	66 0.3×	111 0.6×	40 0.4×	29 0.3×	152 1.9×	47	460
Zohreh Masoumi Iran	12	106 0.5×	147 0.8×	32 0.3×	22 0.2×	72 0.9×	24	354
Yongnian Zeng China	14	67 0.3×	285 1.5×	77 0.7×	23 0.3×	278 3.4×	26	775

Countries citing papers authored by Alessandro Crivellari

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Crivellari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Crivellari

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Crivellari. A scholar is included among the top collaborators of Alessandro Crivellari 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 Alessandro Crivellari. Alessandro Crivellari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Crivellari, Alessandro & Yuhui Shi. (2025). Generative adversarial deep learning model for producing location-based synthetic trajectory data. Connection Science. 37(1). 1 indexed citations

Ghorbanzadeh, Omid, Hejar Shahabi, Sepideh Tavakkoli Piralilou, et al.. (2024). Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection. IEEE Access. 12. 118453–118466. 15 indexed citations

Crivellari, Alessandro, et al.. (2024). Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values. International Journal of Digital Earth. 17(1). 2 indexed citations

Wei, Chunzhu, et al.. (2023). Gaofen-2 satellite image-based characterization of urban villages using multiple convolutional neural networks. International Journal of Remote Sensing. 44(24). 7808–7826. 4 indexed citations

Crivellari, Alessandro, Wei Hong, Chunzhu Wei, & Yuhui Shi. (2023). Super-resolution GANs for upscaling unplanned urban settlements from remote sensing satellite imagery – the case of Chinese urban village detection. International Journal of Digital Earth. 16(1). 2623–2643. 11 indexed citations

Ghorbanzadeh, Omid, Alessandro Crivellari, Dirk Tiede, Pedram Ghamisi, & Stefan Lang. (2022). Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning. Remote Sensing. 14(24). 6382–6382. 1 indexed citations

Crivellari, Alessandro, Bernd Resch, & Yuhui Shi. (2022). TraceBERT—A Feasibility Study on Reconstructing Spatial–Temporal Gaps from Incomplete Motion Trajectories via BERT Training Process on Discrete Location Sequences. Sensors. 22(4). 1682–1682. 5 indexed citations

Crivellari, Alessandro & Bernd Resch. (2022). Investigating functional consistency of mobility-related urban zones via motion-driven embedding vectors and local POI-type distributions. SHILAP Revista de lepidopterología. 2(1). 19–19. 4 indexed citations

Ghorbanzadeh, Omid, Hejar Shahabi, Alessandro Crivellari, et al.. (2022). Landslide detection using deep learning and object-based image analysis. Landslides. 19(4). 929–939. 127 indexed citations breakdown →

10.

Crivellari, Alessandro, et al.. (2022). Multi-target CNN-LSTM regressor for predicting urban distribution of short-term food delivery demand. Journal of Business Research. 144. 844–853. 16 indexed citations

11.

Jing, Hao, Xin He, Yong Tian, et al.. (2022). Comparison and interpretation of data-driven models for simulating site-specific human-impacted groundwater dynamics in the North China Plain. Journal of Hydrology. 616. 128751–128751. 47 indexed citations

12.

Ghorbanzadeh, Omid, Alessandro Crivellari, Pedram Ghamisi, Hejar Shahabi, & Thomas Blaschke. (2021). A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan). Scientific Reports. 11(1). 14629–14629. 105 indexed citations

13.

Crivellari, Alessandro & Alina Ristea. (2021). CrimeVec—Exploring Spatial-Temporal Based Vector Representations of Urban Crime Types and Crime-Related Urban Regions. ISPRS International Journal of Geo-Information. 10(4). 210–210. 8 indexed citations

14.

Crivellari, Alessandro & Euro Beinat. (2020). Forecasting Spatially-Distributed Urban Traffic Volumes via Multi-Target LSTM-Based Neural Network Regressor. Mathematics. 8(12). 2233–2233. 11 indexed citations

15.

Crivellari, Alessandro & Euro Beinat. (2020). LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists. Sustainability. 12(1). 349–349. 40 indexed citations

16.

Crivellari, Alessandro & Euro Beinat. (2020). Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories. Sensors. 20(12). 3503–3503. 15 indexed citations

17.

Crivellari, Alessandro & Euro Beinat. (2019). Identifying Foreign Tourists’ Nationality from Mobility Traces via LSTM Neural Network and Location Embeddings. Applied Sciences. 9(14). 2861–2861. 13 indexed citations

18.

Crivellari, Alessandro & Euro Beinat. (2019). From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data. ISPRS International Journal of Geo-Information. 8(3). 134–134. 40 indexed citations

19.

Ristea, Alina, et al.. (2018). Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data. ISPRS International Journal of Geo-Information. 7(9). 378–378. 64 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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