Beat Alessandri

80 total papers · 2.1k total citations
71 papers, 1.8k citations indexed

About

Beat Alessandri is a scholar working on Neurology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Beat Alessandri has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Neurology, 16 papers in Cellular and Molecular Neuroscience and 14 papers in Epidemiology. Recurrent topics in Beat Alessandri's work include Traumatic Brain Injury and Neurovascular Disturbances (45 papers), Neurosurgical Procedures and Complications (14 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). Beat Alessandri is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (45 papers), Neurosurgical Procedures and Complications (14 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). Beat Alessandri collaborates with scholars based in Germany, United States and Switzerland. Beat Alessandri's co-authors include Oliver Kempski, Axel Heimann, Ross Bullock, M. Ross Bullock, Hans‐Peter Landolt, H. Langemann, K. Bättig, Hans Welzl, Harald Krenzlin and Ann C. Rice and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Beat Alessandri

69 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Beat Alessandri	952	556	419	418	249	71	1.8k
Vardit Rubovitch	935 1.0×	640 1.2×	401 1.0×	669 1.6×	257 1.0×	56	2.0k
L. Schürer	1.1k 1.2×	308 0.6×	328 0.8×	434 1.0×	275 1.1×	57	1.9k
Pekka Mellergård	929 1.0×	403 0.7×	361 0.9×	262 0.6×	289 1.2×	34	1.9k
Howard Lesiuk	998 1.0×	355 0.6×	527 1.3×	308 0.7×	149 0.6×	70	2.2k
Lijun Hou	685 0.7×	549 1.0×	230 0.5×	415 1.0×	158 0.6×	73	2.0k
Leela Cherian	927 1.0×	476 0.9×	214 0.5×	394 0.9×	275 1.1×	48	1.7k
Tatsuro Kawamata	1.3k 1.4×	549 1.0×	397 0.9×	768 1.8×	469 1.9×	37	2.0k
Theresa Currier Thomas	630 0.7×	297 0.5×	371 0.9×	390 0.9×	118 0.5×	65	1.7k
Hanna M. Pappius	790 0.8×	543 1.0×	649 1.5×	264 0.6×	129 0.5×	65	2.2k
Feng Bao	666 0.7×	348 0.6×	310 0.7×	504 1.2×	235 0.9×	38	1.6k

Countries citing papers authored by Beat Alessandri

Since Specialization

Citations

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

Fields of papers citing papers by Beat Alessandri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beat Alessandri

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

All Works

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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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