Tomaž Omerzu

786 total citations
9 papers, 429 citations indexed

About

Tomaž Omerzu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Tomaž Omerzu has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Tomaž Omerzu's work include Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Acute Ischemic Stroke Management (3 papers). Tomaž Omerzu is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Acute Ischemic Stroke Management (3 papers). Tomaž Omerzu collaborates with scholars based in Slovenia, United States and Cyprus. Tomaž Omerzu's co-authors include Andrew Nicolaides, Narendra N. Khanna, John R. Laird, Harman S. Suri, Jasjit S. Suri, Elisa Cuadrado‐Godia, Luca Saba, Sophie Mavrogeni, George D. Kitas and Ajay Gupta and has published in prestigious journals such as Computers in Biology and Medicine, European Journal of Radiology and Current Atherosclerosis Reports.

In The Last Decade

Tomaž Omerzu

9 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomaž Omerzu Slovenia	7	204	163	158	80	63	9	429
Pankaj K. Jain India	11	222 1.1×	228 1.4×	190 1.2×	105 1.3×	70 1.1×	12	454
Sumit K. Banchhor India	12	206 1.0×	219 1.3×	186 1.2×	79 1.0×	58 0.9×	19	395
Laura E. Mantella Canada	10	108 0.5×	168 1.0×	162 1.0×	44 0.6×	97 1.5×	30	415
Ankush D. Jamthikar United States	20	278 1.4×	304 1.9×	374 2.4×	111 1.4×	97 1.5×	35	754
A Giannopoulos United Kingdom	8	106 0.5×	219 1.3×	200 1.3×	38 0.5×	81 1.3×	16	350
Anne S. Chin United States	14	152 0.7×	292 1.8×	198 1.3×	31 0.4×	28 0.4×	22	463
Archana Laroia United States	12	266 1.3×	153 0.9×	37 0.2×	125 1.6×	24 0.4×	28	513
Dustin N. Hartzel United States	13	128 0.6×	40 0.2×	353 2.2×	68 0.8×	61 1.0×	24	740
Christopher P. Bridge United States	14	205 1.0×	64 0.4×	32 0.2×	114 1.4×	62 1.0×	43	593

Countries citing papers authored by Tomaž Omerzu

Since Specialization

Citations

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

Fields of papers citing papers by Tomaž Omerzu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomaž Omerzu

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

All Works

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9 of 9 papers shown

Omerzu, Tomaž, et al.. (2021). Subclinical atherosclerosis in patients with relapsing-remitting multiple sclerosis. Wiener klinische Wochenschrift. 136(1-2). 40–47. 6 indexed citations

Karakatič, Sašo, et al.. (2021). Diagnostic relevance of free light chain indices and their relation to the clinical presentation of multiple sclerosis. 13(1). 23–32. 1 indexed citations

Saba, Luca, Mainak Biswas, Venkatanareshbabu Kuppili, et al.. (2019). The present and future of deep learning in radiology. European Journal of Radiology. 114. 14–24. 236 indexed citations

Khanna, Narendra N., Ankush D. Jamthikar, Deep Gupta, et al.. (2019). Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. Computers in Biology and Medicine. 105. 125–143. 30 indexed citations

Cuadrado‐Godia, Elisa, Ankush D. Jamthikar, Deep Gupta, et al.. (2019). Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Computers in Biology and Medicine. 108. 182–195. 28 indexed citations

Jamthikar, Ankush D., Deep Gupta, Narendra N. Khanna, et al.. (2019). A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography. Current Atherosclerosis Reports. 21(7). 25–25. 30 indexed citations

Biswas, Mainak, Venkatanareshbabu Kuppili, Tadashi Araki, et al.. (2018). Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. Computers in Biology and Medicine. 98. 100–117. 59 indexed citations

Cuadrado‐Godia, Elisa, Md. Maniruzzaman, Tadashi Araki, et al.. (2018). Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Computers in Biology and Medicine. 101. 128–145. 24 indexed citations

Cuadrado‐Godia, Elisa, Saurabh Kumar Srivastava, Luca Saba, et al.. (2018). Geometric Total Plaque Area Is an Equally Powerful Phenotype Compared With Carotid Intima-Media Thickness for Stroke Risk Assessment: A Deep Learning Approach. Journal for Vascular Ultrasound. 42(4). 162–188. 15 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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