Íñigo Alonso

543 total citations
8 papers, 348 citations indexed

About

Íñigo Alonso is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology. According to data from OpenAlex, Íñigo Alonso has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Ecology. Recurrent topics in Íñigo Alonso's work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Íñigo Alonso is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Íñigo Alonso collaborates with scholars based in Spain, Israel and Australia. Íñigo Alonso's co-authors include Ana C. Murillo, Luis Montesano, David Ferstl, Tali Treibitz, Luis Riazuelo, Gal Eyal, Adolfo Muñoz, Dan Tchernov and Yossi Loya and has published in prestigious journals such as Remote Sensing, IEEE Transactions on Robotics and Journal of Field Robotics.

In The Last Decade

Íñigo Alonso

8 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Íñigo Alonso Spain	8	210	137	91	44	42	8	348
Hieu Lê United States	9	242 1.2×	120 0.9×	59 0.6×	51 1.2×	15 0.4×	17	386
Ammar Mahmood Australia	6	96 0.5×	40 0.3×	129 1.4×	44 1.0×	54 1.3×	6	301
Zhaorui Gu China	10	378 1.8×	48 0.4×	23 0.3×	146 3.3×	47 1.1×	44	567
Jun Fu China	13	279 1.3×	40 0.3×	47 0.5×	259 5.9×	35 0.8×	36	493
Huawu Deng Canada	8	188 0.9×	31 0.2×	47 0.5×	105 2.4×	56 1.3×	13	455
Xiaomei Yang China	7	72 0.3×	48 0.4×	66 0.7×	111 2.5×	9 0.2×	23	303
Xizhe Xue China	7	169 0.8×	88 0.6×	82 0.9×	193 4.4×	10 0.2×	13	461
Quanhua Zhao China	10	115 0.5×	69 0.5×	31 0.3×	138 3.1×	12 0.3×	43	343
Juan Bu China	8	190 0.9×	78 0.6×	34 0.4×	91 2.1×	30 0.7×	11	357
Junlan Jin China	8	186 0.9×	95 0.7×	42 0.5×	114 2.6×	9 0.2×	10	326

Countries citing papers authored by Íñigo Alonso

Since Specialization

Citations

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

Fields of papers citing papers by Íñigo Alonso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Íñigo Alonso

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

All Works

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8 of 8 papers shown

1.

Alonso, Íñigo, Gal Eyal, Dan Tchernov, et al.. (2021). Repeatable Semantic Reef-Mapping through Photogrammetry and Label-Augmentation. Remote Sensing. 13(4). 659–659. 32 indexed citations

2.

Alonso, Íñigo, Luis Riazuelo, Luis Montesano, & Ana C. Murillo. (2021). Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions. Zaguan (University of Zaragoza Repository). 330–337. 10 indexed citations

3.

Alonso, Íñigo, et al.. (2021). Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8199–8208. 174 indexed citations

4.

Alonso, Íñigo, Luis Riazuelo, & Ana C. Murillo. (2020). MiniNet: An Efficient Semantic Segmentation ConvNet for Real-Time Robotic Applications. IEEE Transactions on Robotics. 36(4). 1340–1347. 37 indexed citations

5.

Alonso, Íñigo, et al.. (2019). CoralSeg: Learning coral segmentation from sparse annotations. Journal of Field Robotics. 36(8). 1456–1477. 46 indexed citations

6.

Alonso, Íñigo, Luis Riazuelo, & Ana C. Murillo. (2019). Enhancing V-SLAM Keyframe Selection with an Efficient ConvNet for Semantic Analysis. 4717–4723. 9 indexed citations

7.

Alonso, Íñigo & Ana C. Murillo. (2018). Semantic Segmentation from Sparse Labeling Using Multi-Level Superpixels. Zaguan (University of Zaragoza Repository). 5785–5792. 9 indexed citations

8.

Alonso, Íñigo, et al.. (2017). Coral-Segmentation: Training Dense Labeling Models with Sparse Ground Truth. 2874–2882. 31 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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