Daniel Crankshaw

22 total papers · 776 total citations
9 papers, 278 citations indexed

About

Daniel Crankshaw is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Computer Networks and Communications. According to data from OpenAlex, Daniel Crankshaw has authored 9 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Computer Networks and Communications. Recurrent topics in Daniel Crankshaw's work include Data Stream Mining Techniques (4 papers), Infant Development and Preterm Care (3 papers) and Pediatric Pain Management Techniques (3 papers). Daniel Crankshaw is often cited by papers focused on Data Stream Mining Techniques (4 papers), Infant Development and Preterm Care (3 papers) and Pediatric Pain Management Techniques (3 papers). Daniel Crankshaw collaborates with scholars based in United Kingdom, United States and Ecuador. Daniel Crankshaw's co-authors include Ion Stoica, Joseph E. Gonzalez, Xin Wang, Giulio Zhou, Michael J. Franklin, Alexey Tumanov, Daniel S. Berger, Christos Kozyrakis, Neeraja J. Yadwadkar and Ricardo Bianchini and has published in prestigious journals such as Pain, BMJ Open and The Lancet Child & Adolescent Health.

In The Last Decade

Daniel Crankshaw

9 papers receiving 258 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 Crankshaw 152 105 100 90 35 9 278
Andrew Or 231 1.5× 47 0.4× 79 0.8× 145 1.6× 35 1.0× 7 299
Sandra Dominikus 93 0.6× 122 1.2× 189 1.9× 84 0.9× 42 1.2× 11 322
Qingchao Cai 190 1.3× 55 0.5× 106 1.1× 161 1.8× 10 0.3× 16 305
Roelof Kemp 138 0.9× 66 0.6× 20 0.2× 54 0.6× 39 1.1× 12 177
Boduo Li 185 1.2× 48 0.5× 92 0.9× 169 1.9× 13 0.4× 9 286
Shadi A. Noghabi 255 1.7× 41 0.4× 60 0.6× 187 2.1× 24 0.7× 15 319
Håkon Wium Lie 207 1.4× 31 0.3× 42 0.4× 77 0.9× 47 1.3× 8 303
Shibo Wang 86 0.6× 86 0.8× 101 1.0× 133 1.5× 51 1.5× 13 285
Amir Padovitz 133 0.9× 139 1.3× 54 0.5× 33 0.4× 18 0.5× 14 214
Geetanjali Sampemane 86 0.6× 44 0.4× 94 0.9× 74 0.8× 8 0.2× 9 202

Countries citing papers authored by Daniel Crankshaw

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crankshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Crankshaw

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