Mateo Calderon‐Arnulphi

1.5k total citations
8 papers, 259 citations indexed

About

Mateo Calderon‐Arnulphi is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mateo Calderon‐Arnulphi has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Neurology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mateo Calderon‐Arnulphi's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Acute Ischemic Stroke Management (2 papers). Mateo Calderon‐Arnulphi is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Acute Ischemic Stroke Management (2 papers). Mateo Calderon‐Arnulphi collaborates with scholars based in United States. Mateo Calderon‐Arnulphi's co-authors include Ali Alaraj, Fady T. Charbel, Sepideh Amin‐Hanjani, Konstantin V. Slavin, Keith R. Thulborn, William W. Mantulin, Enrico Gratton, Sean Ruland, Victor Aletich and Xinjian Du and has published in prestigious journals such as Stroke, Journal of neurosurgery and American Journal of Neuroradiology.

In The Last Decade

Mateo Calderon‐Arnulphi

8 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateo Calderon‐Arnulphi United States 6 138 90 75 56 51 8 259
Changhu Liang China 11 71 0.5× 104 1.2× 64 0.9× 23 0.4× 58 1.1× 47 336
Alexander Y. Razumovsky United States 6 111 0.8× 33 0.4× 115 1.5× 15 0.3× 78 1.5× 12 270
Paul Reidler Germany 10 80 0.6× 46 0.5× 131 1.7× 26 0.5× 171 3.4× 47 317
Wagner Mauad Avelar Brazil 10 49 0.4× 50 0.6× 77 1.0× 19 0.3× 60 1.2× 22 194
Leticia C.S. Souza United States 6 209 1.5× 128 1.4× 236 3.1× 80 1.4× 339 6.6× 6 497
K. Paulat Germany 7 151 1.1× 71 0.8× 225 3.0× 30 0.5× 90 1.8× 17 363
David Yen-Ting Chen Taiwan 8 136 1.0× 81 0.9× 51 0.7× 7 0.1× 116 2.3× 14 258
Christina Haubrich United Kingdom 12 346 2.5× 133 1.5× 39 0.5× 38 0.7× 95 1.9× 27 397
Raymond S. Schwartz Australia 9 141 1.0× 63 0.7× 30 0.4× 6 0.1× 81 1.6× 14 306
Robert van Oostenbrugge Netherlands 10 55 0.4× 38 0.4× 91 1.2× 11 0.2× 128 2.5× 22 306

Countries citing papers authored by Mateo Calderon‐Arnulphi

Since Specialization
Citations

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

Fields of papers citing papers by Mateo Calderon‐Arnulphi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateo Calderon‐Arnulphi. 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 Mateo Calderon‐Arnulphi. The network helps show where Mateo Calderon‐Arnulphi may publish in the future.

Co-authorship network of co-authors of Mateo Calderon‐Arnulphi

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

All Works

8 of 8 papers shown
1.
Tansy, Aaron, Jason D. Hinman, Kwan Ng, et al.. (2015). Image More to Save More. Frontiers in Neurology. 6. 3 indexed citations
2.
Stone, James L., et al.. (2012). Modified Brain Stem Auditory Evoked Potentials in Patients With Intracranial Mass Lesions. Clinical EEG and Neuroscience. 43(4). 291–302. 3 indexed citations
3.
Calderon‐Arnulphi, Mateo, Sepideh Amin‐Hanjani, Ming Zhao, et al.. (2011). In Vivo Evaluation of Quantitative MR Angiography in a Canine Carotid Artery Stenosis Model. American Journal of Neuroradiology. 32(8). 1552–1559. 51 indexed citations
4.
Aiyagari, Venkatesh, et al.. (2010). Standardized Admission and Discharge Templates to Improve Documentation of the Joint Commission on Accreditation of Healthcare Organization Performance Markers. Journal of Neuroscience Nursing. 42(4). 225–228. 6 indexed citations
5.
Amin‐Hanjani, Sepideh, Ali Alaraj, Mateo Calderon‐Arnulphi, et al.. (2010). Detection of Intracranial In-Stent Restenosis Using Quantitative Magnetic Resonance Angiography. Stroke. 41(11). 2534–2538. 44 indexed citations
6.
Stone, James L., et al.. (2009). Brainstem Auditory Evoked Potentials–A Review and Modified Studies in Healthy Subjects. Journal of Clinical Neurophysiology. 26(3). 167–175. 22 indexed citations
7.
Calderon‐Arnulphi, Mateo, Ali Alaraj, & Konstantin V. Slavin. (2009). Near infrared technology in neuroscience: past, present and future. Neurological Research. 31(6). 605–614. 65 indexed citations
8.
Calderon‐Arnulphi, Mateo, Ali Alaraj, Sepideh Amin‐Hanjani, et al.. (2007). Detection of cerebral ischemia in neurovascular surgery using quantitative frequency-domain near-infrared spectroscopy. Journal of neurosurgery. 106(2). 283–290. 65 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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