Jorge Hormovas

593 total citations
10 papers, 398 citations indexed

About

Jorge Hormovas is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Jorge Hormovas has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Jorge Hormovas's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Neurobiology of Language and Bilingualism (3 papers). Jorge Hormovas is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Neurobiology of Language and Bilingualism (3 papers). Jorge Hormovas collaborates with scholars based in Australia and United States. Jorge Hormovas's co-authors include Yueh‐Hsin Lin, Onur Tanglay, Robert G. Briggs, R. Dineth Fonseka, Isabella M. Young, Vukshitha Dhanaraj, Michael E. Sughrue, Andrew K. Conner, Michael Y. Bai and Arpan R. Chakraborty and has published in prestigious journals such as Hearing Research, World Neurosurgery and Operative Neurosurgery.

In The Last Decade

Jorge Hormovas

10 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge Hormovas Australia	10	295	148	76	43	40	10	398
Vukshitha Dhanaraj Australia	8	272 0.9×	128 0.9×	73 1.0×	39 0.9×	35 0.9×	8	365
Michael Y. Bai United States	11	205 0.7×	131 0.9×	65 0.9×	35 0.8×	50 1.3×	16	383
Feng Deng China	9	250 0.8×	165 1.1×	107 1.4×	70 1.6×	29 0.7×	11	368
Nils Schneider‐Garces United States	6	319 1.1×	128 0.9×	70 0.9×	56 1.3×	47 1.2×	7	492
Zina‐Mary Manjaly Switzerland	7	237 0.8×	76 0.5×	110 1.4×	50 1.2×	40 1.0×	18	552
Changyue Hou China	10	282 1.0×	134 0.9×	121 1.6×	53 1.2×	20 0.5×	20	391
Sonya Foley United Kingdom	10	191 0.6×	131 0.9×	112 1.5×	61 1.4×	28 0.7×	16	387
Suheyla Cetin‐Karayumak United States	9	129 0.4×	139 0.9×	66 0.9×	40 0.9×	22 0.6×	23	300
Ning He China	11	273 0.9×	115 0.8×	205 2.7×	50 1.2×	27 0.7×	18	423

Countries citing papers authored by Jorge Hormovas

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Hormovas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Hormovas

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

All Works

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10 of 10 papers shown

Briggs, Robert G., Isabella M. Young, Nicholas B. Dadario, et al.. (2022). Parcellation‐based tractographic modeling of the salience network through meta‐analysis. Brain and Behavior. 12(7). e2646–e2646. 14 indexed citations

Lin, Yueh‐Hsin, Nicholas B. Dadario, Jorge Hormovas, et al.. (2021). Anatomy and White Matter Connections of the Superior Parietal Lobule. Operative Neurosurgery. 21(3). E199–E214. 19 indexed citations

Briggs, Robert G., Yueh‐Hsin Lin, Nicholas B. Dadario, et al.. (2021). Anatomy and White Matter Connections of the Middle Frontal Gyrus. World Neurosurgery. 150. e520–e529. 70 indexed citations

Tanglay, Onur, Isabella M. Young, Nicholas B. Dadario, et al.. (2021). Anatomy and white-matter connections of the precuneus. Brain Imaging and Behavior. 16(2). 574–586. 69 indexed citations

Briggs, Robert G., Onur Tanglay, Nicholas B. Dadario, et al.. (2021). The Unique Fiber Anatomy of Middle Temporal Gyrus Default Mode Connectivity. Operative Neurosurgery. 21(1). E8–E14. 33 indexed citations

Lin, Yueh‐Hsin, Vukshitha Dhanaraj, Isabella M. Young, et al.. (2021). Anatomy and White Matter Connections of the Parahippocampal Gyrus. World Neurosurgery. 148. e218–e226. 36 indexed citations

Milton, Camille K., Vukshitha Dhanaraj, Isabella M. Young, et al.. (2021). Parcellation‐based anatomic model of the semantic network. Brain and Behavior. 11(4). e02065–e02065. 22 indexed citations

Lin, Yueh‐Hsin, Isabella M. Young, Michael Y. Bai, et al.. (2020). A parcellation-based model of the auditory network. Hearing Research. 396. 108078–108078. 16 indexed citations

Lin, Yueh‐Hsin, Isabella M. Young, Andrew K. Conner, et al.. (2020). Anatomy and White Matter Connections of the Inferior Temporal Gyrus. World Neurosurgery. 143. e656–e666. 101 indexed citations

10.

Tanglay, Onur, Isabella M. Young, Robert G. Briggs, et al.. (2020). Parcellation‐based anatomic modeling of the default mode network. Brain and Behavior. 11(2). e01976–e01976. 18 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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