Alfonso Rojas‐Domínguez

941 total citations
32 papers, 653 citations indexed

About

Alfonso Rojas‐Domínguez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alfonso Rojas‐Domínguez has authored 32 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alfonso Rojas‐Domínguez's work include AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Alfonso Rojas‐Domínguez is often cited by papers focused on AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Alfonso Rojas‐Domínguez collaborates with scholars based in Mexico, United Kingdom and United States. Alfonso Rojas‐Domínguez's co-authors include Asoke K. Nandi, Martín Carpio, Héctor José Puga Soberanes, Héctor J. Fraire-Huacuja, Gabriel Corkidi, Horacio Rostro‐González, Francisco Barceló-Arroyo, Josep Cotrina, Josep Paradells and Jordi Casademont and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Alfonso Rojas‐Domínguez

30 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfonso Rojas‐Domínguez Mexico 12 368 244 133 84 82 32 653
Musatafa Abbas Abbood Albadr Malaysia 17 508 1.4× 167 0.7× 125 0.9× 57 0.7× 37 0.5× 34 844
Weiwei Zong United States 7 726 2.0× 244 1.0× 62 0.5× 79 0.9× 55 0.7× 17 906
Tao Qin China 4 323 0.9× 181 0.7× 59 0.4× 88 1.0× 33 0.4× 7 634
Amin Khatami Australia 11 219 0.6× 241 1.0× 118 0.9× 61 0.7× 19 0.2× 17 598
Wenyong Gui China 15 480 1.3× 197 0.8× 139 1.0× 49 0.6× 34 0.4× 22 856
Habib Dhahri Saudi Arabia 17 383 1.0× 97 0.4× 92 0.7× 55 0.7× 49 0.6× 46 675
Jan Hendrik Metzen Germany 14 515 1.4× 297 1.2× 61 0.5× 80 1.0× 36 0.4× 30 915
Jiao Hu China 8 364 1.0× 97 0.4× 76 0.6× 48 0.6× 45 0.5× 14 643
Sibo Qiao China 14 145 0.4× 117 0.5× 61 0.5× 60 0.7× 65 0.8× 85 603

Countries citing papers authored by Alfonso Rojas‐Domínguez

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Rojas‐Domínguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfonso Rojas‐Domínguez. 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 Alfonso Rojas‐Domínguez. The network helps show where Alfonso Rojas‐Domínguez may publish in the future.

Co-authorship network of co-authors of Alfonso Rojas‐Domínguez

This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Rojas‐Domínguez. A scholar is included among the top collaborators of Alfonso Rojas‐Domínguez 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 Alfonso Rojas‐Domínguez. Alfonso Rojas‐Domínguez 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.
Rojas‐Domínguez, Alfonso, et al.. (2022). Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling. Soft Computing. 27(18). 13237–13253. 1 indexed citations
3.
Rojas‐Domínguez, Alfonso, et al.. (2022). Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian. BMC Bioinformatics. 23(1). 200–200. 9 indexed citations
4.
Rojas‐Domínguez, Alfonso, et al.. (2022). Fuzzy multi-agent assistance system for elderly care based on user engagement. Journal of Ambient Intelligence and Smart Environments. 14(3). 173–194. 2 indexed citations
6.
Soberanes, Héctor José Puga, et al.. (2021). Fuzzy-Regulated Assistant based on Mental Engagement: A Multi-Agent Approach to Elderly Care. 1–8. 1 indexed citations
7.
Carpio, Martín, et al.. (2019). Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm. IEEE Access. 7. 154859–154871. 2 indexed citations
8.
Rojas‐Domínguez, Alfonso, et al.. (2019). Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems. Computational Intelligence and Neuroscience. 2019. 1–13. 14 indexed citations
9.
Rojas‐Domínguez, Alfonso, et al.. (2019). Single Spiking Neuron Multi-Objective Optimization for Pattern Classification. Journal of Automation Mobile Robotics & Intelligent Systems. 73–80. 1 indexed citations
10.
Soberanes, Héctor José Puga, et al.. (2018). Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification. IEEE Access. 6. 40450–40462. 6 indexed citations
11.
Rojas‐Domínguez, Alfonso, et al.. (2017). Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. IEEE Access. 6. 7164–7176. 67 indexed citations
12.
Rojas‐Domínguez, Alfonso, et al.. (2014). Gradient‐Direction‐Pattern Transform for Automated Measurement of Oil Drops in Images of Multiphase Dispersions. Chemical Engineering & Technology. 38(2). 327–335. 5 indexed citations
13.
Rojas‐Domínguez, Alfonso, et al.. (2013). Development of a testbed for flexible a-Si:H photodiode sensing arrays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8730. 87300H–87300H. 3 indexed citations
14.
Lee, Edward H., et al.. (2012). A Low-Noise Dual-Stage a-Si:H Active Pixel Sensor. IEEE Transactions on Electron Devices. 59(6). 1679–1685. 2 indexed citations
15.
Rojas‐Domínguez, Alfonso & Gabriel Corkidi. (2011). Automated recognition of oil drops in images of multiphase dispersions via gradient direction pattern. 1209–1213. 5 indexed citations
16.
Rojas‐Domínguez, Alfonso & Asoke K. Nandi. (2009). Development of tolerant features for characterization of masses in mammograms. Computers in Biology and Medicine. 39(8). 678–688. 39 indexed citations
17.
Rojas‐Domínguez, Alfonso & Asoke K. Nandi. (2008). Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection. Computerized Medical Imaging and Graphics. 32(4). 304–315. 92 indexed citations
18.
Rojas‐Domínguez, Alfonso & Asoke K. Nandi. (2007). Detection of masses in mammograms using enhanced multilevel-thresholding segmentation and region selection based on rank. 370–375. 5 indexed citations
19.
Rojas‐Domínguez, Alfonso & Asoke K. Nandi. (2007). Improved dynamic‐programming‐based algorithms for segmentation of masses in mammograms. Medical Physics. 34(11). 4256–4269. 38 indexed citations
20.
Casademont, Jordi, Elena López-Aguilera, Josep Paradells, et al.. (2004). Wireless technology applied to GIS. Computers & Geosciences. 30(6). 671–682. 13 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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