Jonathan Scalera

413 total citations
13 papers, 304 citations indexed

About

Jonathan Scalera is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jonathan Scalera has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Jonathan Scalera's work include MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Jonathan Scalera is often cited by papers focused on MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Jonathan Scalera collaborates with scholars based in United States, India and Germany. Jonathan Scalera's co-authors include Stephan W. Anderson, Jorge A. Soto, B Bloch, Muhammad M. Qureshi, HeiShun Yu, Baojun Li, Laura J. Brattain, Chad W. Farris, Arjun Majumdar and Brian A. Telfer and has published in prestigious journals such as Radiographics, European Radiology and Arthritis & Rheumatology.

In The Last Decade

Jonathan Scalera

12 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Scalera United States	7	165	107	63	52	43	13	304
Christoph Fürweger Germany	12	194 1.2×	128 1.2×	69 1.1×	52 1.0×	79 1.8×	59	467
Laia Valls United States	5	173 1.0×	57 0.5×	51 0.8×	16 0.3×	29 0.7×	8	376
Manudeep Kalra United States	11	208 1.3×	48 0.4×	96 1.5×	20 0.4×	25 0.6×	14	380
Ela M. Akay Germany	7	96 0.6×	99 0.9×	44 0.7×	32 0.6×	73 1.7×	11	281
Khashayar Namdar Canada	10	280 1.7×	109 1.0×	71 1.1×	26 0.5×	27 0.6×	26	470
Mohammad R. Salmanpour Canada	10	254 1.5×	69 0.6×	66 1.0×	136 2.6×	20 0.5×	28	426
Sungwon Ham South Korea	9	202 1.2×	90 0.8×	63 1.0×	29 0.6×	107 2.5×	18	385
Ling-xiang Ruan China	9	160 1.0×	55 0.5×	19 0.3×	42 0.8×	28 0.7×	19	326
Seyed Masoud Rezaeijo Iran	17	406 2.5×	163 1.5×	110 1.7×	50 1.0×	24 0.6×	31	603
San-Kan Lee Taiwan	12	72 0.4×	34 0.3×	22 0.3×	40 0.8×	35 0.8×	43	364

Countries citing papers authored by Jonathan Scalera

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Scalera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Scalera

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

All Works

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13 of 13 papers shown

Scalera, Jonathan, et al.. (2024). A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion. Cancer Biomarkers. 42(1). CBM230456–CBM230456.

Pare, Joseph R., Lars Gjesteby, Brian A. Telfer, et al.. (2022). Transfer Learning for Automated COVID-19 B-Line Classification in Lung Ultrasound. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1675–1681. 2 indexed citations

Staziaki, Pedro V., Di Wu, Nan Feng, et al.. (2021). Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma. European Radiology. 31(7). 5434–5441. 20 indexed citations

Chang, Gary H., Joseph H. C. Lai, Grace H. Yoon, et al.. (2021). Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning–Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes. Arthritis & Rheumatology. 73(12). 2240–2248. 16 indexed citations

Majumdar, Arjun, Laura J. Brattain, Brian A. Telfer, Chad W. Farris, & Jonathan Scalera. (2018). Detecting Intracranial Hemorrhage with Deep Learning. PubMed. 2018. 583–587. 60 indexed citations

Abston, Eric, et al.. (2018). Breath of relief: apparent pulmonary nodule due to heterotopic ossification. Clinical Case Reports. 6(6). 1174–1175. 1 indexed citations

Yu, HeiShun, Jonathan Scalera, B Bloch, et al.. (2017). Texture analysis as a radiomic marker for differentiating renal tumors. Abdominal Radiology. 42(10). 2470–2478. 126 indexed citations

Balasubramanian, Mukund, Ravi T. Seethamraju, Junichi Tokuda, et al.. (2016). Characterization of gradient echo signal decays in healthy and cancerous prostate at 3T improves with a Gaussian augmentation of the mono‐exponential (GAME) model. NMR in Biomedicine. 29(7). 999–1009. 8 indexed citations

Scalera, Jonathan, Jorge A. Soto, Hernán Jara, et al.. (2012). Multiexponential T₂ analyses in a murine model of hepatic fibrosis at 11.7 T MRI. NMR in Biomedicine. 26(1). 83–90. 4 indexed citations

10.

Shah, Bhavya, Stephan W. Anderson, Jonathan Scalera, Hernán Jara, & Jorge A. Soto. (2011). Quantitative MR Imaging: Physical Principles and Sequence Design in Abdominal Imaging. Radiographics. 31(3). 867–880. 45 indexed citations

11.

Chan, Cy, et al.. (2005). A Systolic FFT Architecture for Real Time FPGA Systems. Defense Technical Information Center (DTIC). 14 indexed citations

12.

Scalera, Jonathan, et al.. (2003). Reconfigurable object detection in FLIR image sequences. 284–285. 4 indexed citations

13.

Scalera, Jonathan & Mary Elizabeth Jones. (2002). A run-time reconfigurable plug-in for the Winamp MP3 player. 319–320. 4 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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