Daniel L. Surdell

72 total papers · 720 total citations
48 papers, 494 citations indexed

About

Daniel L. Surdell is a scholar working on Neurology, Surgery and Epidemiology. According to data from OpenAlex, Daniel L. Surdell has authored 48 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Neurology, 20 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Daniel L. Surdell's work include Intracranial Aneurysms: Treatment and Complications (16 papers), Vascular Malformations Diagnosis and Treatment (10 papers) and Neurosurgical Procedures and Complications (9 papers). Daniel L. Surdell is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (16 papers), Vascular Malformations Diagnosis and Treatment (10 papers) and Neurosurgical Procedures and Complications (9 papers). Daniel L. Surdell collaborates with scholars based in United States, Czechia and United Kingdom. Daniel L. Surdell's co-authors include Bernard R. Bendok, Christopher S. Eddleman, H. Hunt Batjer, Ali Shaibani, Ziad A. Hage, William Thorell, Dhanesh K. Gupta, Michael C. Hurley, Joseph G. Adel and Mark K. Eskandari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Daniel L. Surdell

40 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel L. Surdell 334 175 133 83 69 48 494
Makhan S. Khangure 249 0.7× 94 0.5× 97 0.7× 105 1.3× 71 1.0× 36 466
Atos Alves de Sousa 331 1.0× 135 0.8× 143 1.1× 163 2.0× 31 0.4× 49 523
Hakan Selçuk 293 0.9× 124 0.7× 152 1.1× 147 1.8× 27 0.4× 42 545
U. Piepgras 208 0.6× 101 0.6× 104 0.8× 79 1.0× 33 0.5× 47 463
Jong-Myong Lee 412 1.2× 158 0.9× 113 0.8× 106 1.3× 47 0.7× 28 476
Julius Griauzde 262 0.8× 125 0.7× 105 0.8× 112 1.3× 27 0.4× 41 421
Aristotelis P. Mitsos 408 1.2× 76 0.4× 177 1.3× 89 1.1× 37 0.5× 27 501
Kayhan Kuzeylı 195 0.6× 205 1.2× 106 0.8× 89 1.1× 100 1.4× 54 518
Harold C. Voris 219 0.7× 83 0.5× 108 0.8× 95 1.1× 40 0.6× 30 421
Byung Moon Cho 193 0.6× 133 0.8× 128 1.0× 66 0.8× 53 0.8× 44 458

Countries citing papers authored by Daniel L. Surdell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Surdell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Surdell. 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 Daniel L. Surdell. The network helps show where Daniel L. Surdell may publish in the future.

Co-authorship network of co-authors of Daniel L. Surdell

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Surdell. A scholar is included among the top collaborators of Daniel L. Surdell 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 Daniel L. Surdell. Daniel L. Surdell 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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