David Newman

148 total papers · 2.7k total citations
44 papers, 1.7k citations indexed

About

David Newman is a scholar working on Information Systems, Information Systems and Management and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David Newman has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Information Systems and Management and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David Newman's work include Scientific Computing and Data Management (11 papers), Research Data Management Practices (10 papers) and E-Government and Public Services (7 papers). David Newman is often cited by papers focused on Scientific Computing and Data Management (11 papers), Research Data Management Practices (10 papers) and E-Government and Public Services (7 papers). David Newman collaborates with scholars based in United Kingdom, Canada and United States. David Newman's co-authors include Brian Webb, Clive Cochrane, David De Roure, Carole Goble, Sean Bechhofer, Jiten Bhagat, Don Cruickshank, Danius Michaelides, Amitava Banerjee and Marco Roos and has published in prestigious journals such as Nucleic Acids Research, Journal of the American College of Cardiology and Radiology.

In The Last Decade

David Newman

41 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
David Newman	463	418	320	313	251	44	1.7k
Donald R. Jones	279 0.6×	173 0.4×	100 0.3×	497 1.6×	50 0.2×	70	2.2k
Bing Wu	645 1.4×	179 0.4×	316 1.0×	90 0.3×	65 0.3×	69	1.8k
G. Anthony Gorry	132 0.3×	162 0.4×	42 0.1×	88 0.3×	36 0.1×	61	2.2k
Michael Bieber	48 0.1×	309 0.7×	93 0.3×	104 0.3×	65 0.3×	80	1.5k
Kiduk Yang	108 0.2×	365 0.9×	41 0.1×	447 1.4×	18 0.1×	46	2.1k
E. Vance Wilson	543 1.2×	118 0.3×	81 0.3×	73 0.2×	60 0.2×	72	1.5k
Weiwei Chen	548 1.2×	683 1.6×	85 0.3×	192 0.6×	9 0.0×	70	1.8k
Raj Gururajan	79 0.2×	171 0.4×	77 0.2×	77 0.2×	23 0.1×	151	1.7k
Bruce R. Schatz	122 0.3×	712 1.7×	18 0.1×	54 0.2×	35 0.1×	94	2.3k
Richard M. Young	206 0.4×	406 1.0×	81 0.3×	18 0.1×	170 0.7×	84	2.3k

Countries citing papers authored by David Newman

Since Specialization

Citations

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

Fields of papers citing papers by David Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Newman

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