Daniel Newman

41 papers receiving 388 citations

Peers

Daniel Newman
Comparison fields: 5 of 70
  • Law 62
  • Clinical Psychology 100
  • General Health Professions 107
  • Transportation 22
  • Automotive Engineering 32
Replace Joanna R. Adler with:
Joanna R. Adler United Kingdom
Angela Hawken United States
Jacqueline M. Gray United Kingdom
Miranda A. H. Horvath United Kingdom
Linda C. McClain United States
Octavia Calder‐Dawe New Zealand
Inger Marie Lid Norway
Lana van Niekerk South Africa
Merlinda Weinberg Canada
Claire Curran United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Newman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel Newman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Newman Line = papers co-authored together Daniel Newman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015119
2 201777
3 201434
4 201914
5 201713
6
'We're Vulnerable Too': An (Alternative) Analysis of Vulnerability within English Criminal Legal Aid and Police Custody
201711
7 201311
8 20159
9 20219
10
Are Lawyers Alienated Workers
20168
11 20188
12
Legal Aid Lawyers and the Quest for Justice
20138
13 20137
14 20127
15 20146
16 20166
17 20236
18 20215
19 20215
20 20184

About Daniel Newman

Daniel Newman is a scholar working on Sociology and Political Science, Law, Clinical Psychology, Political Science and International Relations and General Health Professions, having authored 45 papers that have together received 413 indexed citations. Recurring topics across this work include Criminal Justice and Corrections Analysis (13 papers), Legal Education and Practice Innovations (13 papers), Law in Society and Culture (6 papers), Electric Vehicles and Infrastructure (4 papers), Policing Practices and Perceptions (4 papers), Energy, Environment, and Transportation Policies (4 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (3 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Law (62 citations), Clinical Psychology (100 citations), General Health Professions (107 citations), Transportation (22 citations) and Automotive Engineering (32 citations). Daniel Newman has collaborated with scholars based in United Kingdom, Ireland and Singapore. Frequent co-authors include Pauline O’Reilly, Catriona Kennedy, Siew Hwa Lee, Mary Butler, Owen Doody, Huw Davies, Paul Nieuwenhuis, Peter Wells, Rebecca K. Helm and Pamela Ugwudike. Their work appears in journals such as Feminist Legal Studies, International Journal of Automotive Technology and Management, Australian Feminist Law Journal, Review of Radical Political Economics and The Howard Journal of Crime and Justice.

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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