Matthew B. Maas

1.3k total citations
9 papers, 217 citations indexed

About

Matthew B. Maas is a scholar working on Neurology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew B. Maas has authored 9 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew B. Maas's work include Acute Ischemic Stroke Management (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Neurosurgical Procedures and Complications (4 papers). Matthew B. Maas is often cited by papers focused on Acute Ischemic Stroke Management (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Neurosurgical Procedures and Complications (4 papers). Matthew B. Maas collaborates with scholars based in United States, Australia and New Zealand. Matthew B. Maas's co-authors include Andrew M. Naidech, Eric M. Liotta, Pamela W. Schaefer, Michael H. Lev, R. Gilberto González, Shahmir Kamalian, Shervin Kamalian, Angelos A. Konstas, Seyedmehdi Payabvash and Stuart R. Pomerantz and has published in prestigious journals such as Neurology, Stroke and Critical Care Medicine.

In The Last Decade

Matthew B. Maas

8 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew B. Maas United States 6 121 116 64 57 35 9 217
Scott E. Olson United States 8 194 1.6× 99 0.9× 79 1.2× 97 1.7× 49 1.4× 19 289
Joaquín Zamarro Spain 8 279 2.3× 169 1.5× 81 1.3× 155 2.7× 28 0.8× 20 336
Kazutaka Sonoda Japan 8 133 1.1× 61 0.5× 32 0.5× 91 1.6× 31 0.9× 31 227
Felix Ng Australia 10 309 2.6× 146 1.3× 108 1.7× 135 2.4× 19 0.5× 24 353
Pieter Jan van Doormaal Netherlands 11 140 1.2× 58 0.5× 49 0.8× 142 2.5× 32 0.9× 30 243
Martin Punter United Kingdom 6 60 0.5× 106 0.9× 53 0.8× 43 0.8× 15 0.4× 15 166
Nikki Boodt Netherlands 9 177 1.5× 52 0.4× 93 1.5× 107 1.9× 35 1.0× 13 211
Michaela Steiner Austria 6 190 1.6× 128 1.1× 51 0.8× 294 5.2× 25 0.7× 7 371
André Durocher Canada 4 156 1.3× 62 0.5× 70 1.1× 91 1.6× 11 0.3× 6 189
Anett Stoll Germany 4 143 1.2× 65 0.6× 49 0.8× 71 1.2× 20 0.6× 5 189

Countries citing papers authored by Matthew B. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Maas. 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 Matthew B. Maas. The network helps show where Matthew B. Maas may publish in the future.

Co-authorship network of co-authors of Matthew B. Maas

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

All Works

9 of 9 papers shown
1.
2.
Maas, Matthew B., Eric M. Liotta, Jonathan D. Rich, et al.. (2021). Prothrombin Complex Concentrate for Emergent Reversal of Intracranial Hemorrhage in Patients with Ventricular Assist Devices. Neurocritical Care. 35(2). 506–517.
3.
Maas, Matthew B., Babak S. Jahromi, Ayush Batra, et al.. (2020). Magnesium and Risk of Bleeding Complications From Ventriculostomy Insertion. Stroke. 51(9). 2795–2800. 5 indexed citations
4.
Hall, Andrew, Eric M. Liotta, Matthew B. Maas, et al.. (2020). Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning. Neurocritical Care. 34(1). 73–84. 24 indexed citations
5.
Liotta, Eric M., Ayush Batra, Minjee Kim, et al.. (2019). Magnesium and Hemorrhage Volume in Patients With Aneurysmal Subarachnoid Hemorrhage. Critical Care Medicine. 48(1). 104–110. 13 indexed citations
6.
Maas, Matthew B., Andrew M. Naidech, Minjee Kim, et al.. (2018). Medication History versus Point-of-Care Platelet Activity Testing in Patients with Intracerebral Hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 27(5). 1167–1173. 7 indexed citations
7.
Liotta, Eric M., Shyam Prabhakaran, Rajbeer Singh Sangha, et al.. (2017). Magnesium, hemostasis, and outcomes in patients with intracerebral hemorrhage. Neurology. 89(8). 813–819. 44 indexed citations
8.
Kamalian, Shervin, Shahmir Kamalian, Angelos A. Konstas, et al.. (2011). CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique. American Journal of Neuroradiology. 33(3). 545–549. 76 indexed citations
9.
Gallus, Alexander, J. F. Cade, Paul Ockelford, et al.. (1993). Orgaran (Org 10172) or Heparin for Preventing Venous Thrombosis after Elective Surgery for Malignant Disease? A Double-Blind, Randomised, Multicentre Comparison. Thrombosis and Haemostasis. 70(4). 562–567. 45 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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