James Frew

87 total papers · 3.1k total citations
52 papers, 1.9k citations indexed

About

James Frew is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, James Frew has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 17 papers in Information Systems and Management and 15 papers in Information Systems. Recurrent topics in James Frew's work include Scientific Computing and Data Management (17 papers), Distributed and Parallel Computing Systems (13 papers) and Geographic Information Systems Studies (8 papers). James Frew is often cited by papers focused on Scientific Computing and Data Management (17 papers), Distributed and Parallel Computing Systems (13 papers) and Geographic Information Systems Studies (8 papers). James Frew collaborates with scholars based in United States, Netherlands and United Kingdom. James Frew's co-authors include Jeff Dozier, Rajendra Bose, T. H. Painter, Karl Rittger, Linda Hill, Greg Janée, Terence R. Smith, Michael Stonebraker, Peter Slaughter and Darren Hardy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Remote Sensing of Environment.

In The Last Decade

James Frew

50 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
James Frew 534 491 484 456 368 52 1.9k
Peng Yue 640 1.2× 506 1.0× 457 0.9× 448 1.0× 293 0.8× 170 2.8k
Stefano Nativi 126 0.2× 336 0.7× 465 1.0× 325 0.7× 434 1.2× 136 1.9k
Genong Yu 321 0.6× 273 0.6× 134 0.3× 192 0.4× 576 1.6× 111 1.7k
Yan Ma 166 0.3× 388 0.8× 127 0.3× 419 0.9× 282 0.8× 109 2.0k
Huayi Wu 302 0.6× 285 0.6× 103 0.2× 295 0.6× 593 1.6× 210 2.9k
Daniel P. Ames 240 0.4× 189 0.4× 388 0.8× 126 0.3× 912 2.5× 140 2.8k
Rajasekar Krishnamurthy 807 1.5× 502 1.0× 92 0.2× 617 1.4× 274 0.7× 97 3.2k
Massimo Craglia 89 0.2× 320 0.7× 261 0.5× 213 0.5× 368 1.0× 78 2.4k
David A. Holland 134 0.3× 396 0.8× 432 0.9× 535 1.2× 124 0.3× 58 1.5k
Yunqiang Zhu 341 0.6× 161 0.3× 61 0.1× 288 0.6× 752 2.0× 103 2.4k

Countries citing papers authored by James Frew

Since Specialization
Citations

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

Fields of papers citing papers by James Frew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Frew

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