Adam Szołna

975 total citations
18 papers, 342 citations indexed

About

Adam Szołna is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Biomedical Engineering. According to data from OpenAlex, Adam Szołna has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Neurology and 6 papers in Biomedical Engineering. Recurrent topics in Adam Szołna's work include Optical Imaging and Spectroscopy Techniques (10 papers), Brain Tumor Detection and Classification (6 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Adam Szołna is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (10 papers), Brain Tumor Detection and Classification (6 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Adam Szołna collaborates with scholars based in Spain, Norway and Poland. Adam Szołna's co-authors include Himar Fabelo, Gustavo M. Callicó, Samuel Ortega, Juan F. Piñeiro, Roberto Sarmiento, Coralia Sosa, Sara Bisshopp, Jesús Pérez Morera, María Antonia Gil Hernández and David Carrera-Villacrés and has published in prestigious journals such as Scientific Reports, Sensors and Journal of the Neurological Sciences.

In The Last Decade

Adam Szołna

17 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Szołna Spain 9 202 133 85 74 64 18 342
Sara Bisshopp Spain 5 148 0.7× 93 0.7× 54 0.6× 37 0.5× 44 0.7× 6 229
Coralia Sosa Spain 5 152 0.8× 97 0.7× 58 0.7× 37 0.5× 45 0.7× 6 223
María de la Luz Plaza Spain 5 128 0.6× 89 0.7× 73 0.9× 54 0.7× 27 0.4× 6 211
Raquel León Spain 10 152 0.8× 102 0.8× 70 0.8× 68 0.9× 28 0.4× 36 318
Simon Francis Canada 4 149 0.7× 44 0.3× 28 0.3× 37 0.5× 128 2.0× 8 398
Giordana Florimbi Italy 9 193 1.0× 44 0.3× 28 0.3× 40 0.5× 43 0.7× 15 311
Liyu Wei China 2 118 0.6× 28 0.2× 24 0.3× 30 0.4× 45 0.7× 5 316
S. Prima France 6 86 0.4× 39 0.3× 30 0.4× 33 0.4× 36 0.6× 7 303
Zhaobang Liu China 11 197 1.0× 82 0.6× 24 0.3× 16 0.2× 23 0.4× 26 368
Sandra González-Villà Spain 8 190 0.9× 69 0.5× 35 0.4× 51 0.7× 222 3.5× 11 551

Countries citing papers authored by Adam Szołna

Since Specialization
Citations

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

Fields of papers citing papers by Adam Szołna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Szołna

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

All Works

18 of 18 papers shown
1.
2.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2023). Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection. npj Precision Oncology. 7(1). 119–119. 21 indexed citations
3.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2023). Evaluation of Hyperspectral Imaging Fusion for in-vivo Brain Tumor Identification and Delineation. Acceda (Universidad de Las Palmas de Gran Canaria). 493–499.
4.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2022). Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer. 78–78. 2 indexed citations
5.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2021). VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection. Scientific Reports. 11(1). 19696–19696. 30 indexed citations
6.
Clavo, Bernardino, Francisco Robaina, Gerard Urrútia, et al.. (2021). Ozone therapy versus surgery for lumbar disc herniation: A randomized double-blind controlled trial. Complementary Therapies in Medicine. 59. 102724–102724. 11 indexed citations
7.
Fabelo, Himar, Martin Halicek, Samuel Ortega, et al.. (2019). Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors. 19(4). 920–920. 124 indexed citations
8.
León, Raquel, Himar Fabelo, Samuel Ortega, et al.. (2019). Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging. Sensors. 19(24). 5481–5481. 42 indexed citations
9.
Fabelo, Himar, Martin Halicek, Samuel Ortega, et al.. (2019). Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. PubMed. 10951. 35–35. 24 indexed citations
10.
Piñeiro, Juan F., Diederik Bulters, Samuel Ortega, et al.. (2017). P04.20 Hyperspectral imaging for brain tumour identification and boundaries delineation in real-time during neurosurgical operations. Neuro-Oncology. 19(suppl_3). iii44–iii44. 5 indexed citations
11.
Piñeiro, Juan F., Diederik Bulters, Samuel Ortega, et al.. (2017). Hyperspectral imaging for brain tumour identification and boundaries delineation in real-time during neurosurgical operations. Acceda (Universidad de Las Palmas de Gran Canaria). 1 indexed citations
12.
Kabwama, Silvester, Diederik Bulters, Harry Bulstrode, et al.. (2016). Intra-operative hyperspectral imaging for brain tumour detection and delineation: Current progress on the HELICoid project. International Journal of Surgery. 36. S140–S140. 9 indexed citations
13.
Fabelo, Himar, Samuel Ortega, Raúl Guerra, et al.. (2016). A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples. 311–320. 15 indexed citations
14.
Fabelo, Himar, Samuel Ortega, Silvester Kabwama, et al.. (2016). HELICoiD project: a new use of hyperspectral imaging for brain cancer detection in real-time during neurosurgical operations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9860. 986002–986002. 37 indexed citations
15.
Szczałuba, Krzysztof, Marta Jurek, Michał Milewski, et al.. (2007). Clinical characteristics of carriers of a GAG deletion in the DYT1 gene amongst Polish patients with primary dystonia. European Journal of Neurology. 14(6). 659–662. 6 indexed citations
16.
Szołna, Adam, et al.. (2007). [Stereotactic pallidotomy and thalamotomy in the treatment of primary dystonia].. PubMed. 40(3). 186–93. 5 indexed citations
17.
Szołna, Adam, et al.. (2007). [Early postoperative assessment of cognitive functions after stereotactic pallidotomy in patients with primary dystonia - preliminary results].. PubMed. 40(6). 493–500. 2 indexed citations
18.
Szołna, Adam, et al.. (2006). Psychomotor and executive functioning after unilateral posteroventral pallidotomy in patients with Parkinson's disease. Journal of the Neurological Sciences. 248(1-2). 97–103. 7 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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