Philip James

5.9k total citations · 1 hit paper
171 papers, 4.3k citations indexed

About

Philip James is a scholar working on Public Administration, Strategy and Management and General Health Professions. According to data from OpenAlex, Philip James has authored 171 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Administration, 24 papers in Strategy and Management and 24 papers in General Health Professions. Recurrent topics in Philip James's work include Labor Movements and Unions (24 papers), Employment and Welfare Studies (23 papers) and Geographic Information Systems Studies (16 papers). Philip James is often cited by papers focused on Labor Movements and Unions (24 papers), Employment and Welfare Studies (23 papers) and Geographic Information Systems Studies (16 papers). Philip James collaborates with scholars based in United Kingdom, Australia and Malta. Philip James's co-authors include Robert I. Griffiths, Bruce C. Thomson, Andrew S. Whiteley, Mark Bailey, Thomas Bell, Ian Cunningham, Alistair Ford, Luke Smith, David Walters and Rajiv Ranjan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Philip James

166 papers receiving 4.1k citations

Hit Papers

The bacterial biogeography of British soils 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip James United Kingdom 30 910 577 509 428 383 171 4.3k
Chi Zhang China 38 571 0.6× 515 0.9× 865 1.7× 322 0.8× 106 0.3× 329 7.2k
Alexey Voinov Netherlands 46 883 1.0× 3.2k 5.6× 330 0.6× 67 0.2× 304 0.8× 178 8.4k
Hossein Azadi Belgium 42 775 0.9× 1.6k 2.8× 1000 2.0× 226 0.5× 445 1.2× 358 7.3k
Xinyue Ye United States 54 450 0.5× 3.2k 5.6× 184 0.4× 210 0.5× 142 0.4× 398 10.0k
J.P. van der Sluijs Netherlands 44 519 0.6× 2.6k 4.5× 171 0.3× 230 0.5× 153 0.4× 131 9.3k
Lei Gao China 35 611 0.7× 1.7k 3.0× 290 0.6× 147 0.3× 77 0.2× 203 4.9k
Daniel A. Griffith United States 47 773 0.8× 2.0k 3.5× 147 0.3× 63 0.1× 144 0.4× 282 10.2k
Michael J. Phillips Malaysia 40 1.2k 1.3× 1.1k 1.9× 103 0.2× 600 1.4× 209 0.5× 204 5.8k
Chris Webster Hong Kong 52 195 0.2× 2.0k 3.4× 227 0.4× 168 0.4× 229 0.6× 280 9.9k
Shaowen Wang United States 36 944 1.0× 1.0k 1.8× 111 0.2× 278 0.6× 45 0.1× 223 5.6k

Countries citing papers authored by Philip James

Since Specialization
Citations

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

Fields of papers citing papers by Philip James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip James

This figure shows the co-authorship network connecting the top 25 collaborators of Philip James. A scholar is included among the top collaborators of Philip James 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 Philip James. Philip James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jay, Caroline, Ian Crawford, Scott Archer‐Nicholls, et al.. (2024). Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience. 17(2). 106–108. 8 indexed citations
2.
Matthews, Brian, Jim W. Hall, Michael Batty, et al.. (2023). DAFNI: a computational platform to support infrastructure systems research. Research Explorer (The University of Manchester). 176(3). 108–116. 3 indexed citations
3.
Bell, Daniel, et al.. (2021). Estimating Vehicle and Pedestrian Activity from Town and City Traffic Cameras. Sensors. 21(13). 4564–4564. 17 indexed citations
4.
Contreras, Diana, et al.. (2021). Assessing post‐disaster recovery using sentiment analysis: The case of L'Aquila, Italy. Earthquake Spectra. 38(1). 81–108. 27 indexed citations
5.
Shah, Tejal, Zhenyu Wen, T. Hemalatha, et al.. (2021). Use of Social Media Data in Disaster Management: A Survey. Future Internet. 13(2). 46–46. 54 indexed citations
6.
Shah, Tejal, et al.. (2020). An ontology‐based system for discovering landslide‐induced emergencies in electrical grid. Transactions on Emerging Telecommunications Technologies. 33(3). 4 indexed citations
7.
Qian, Bin, Jie Su, Zhenyu Wen, et al.. (2020). Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications. ACM Computing Surveys. 53(4). 1–47. 108 indexed citations
8.
Shit, Rathin Chandra, Suraj Sharma, Deepak Puthal, et al.. (2019). Ubiquitous Localization (UbiLoc): A Survey and Taxonomy on Device Free Localization for Smart World. IEEE Communications Surveys & Tutorials. 21(4). 3532–3564. 85 indexed citations
9.
Shah, Tejal, et al.. (2019). Ontology-based discovery of time-series data sources for landslide early warning system. Computing. 102(3). 745–763. 12 indexed citations
10.
Qian, Bin, Jie Su, Zhenyu Wen, et al.. (2019). Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.. arXiv (Cornell University). 1 indexed citations
11.
Fairbairn, David, et al.. (2018). Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries. International Journal of Geographical Information Systems. 32(5). 931–959. 18 indexed citations
12.
James, Philip, et al.. (2018). Micropolitical Dynamics of Interlingual Translation Processes in an MNC Subsidiary. British Journal of Management. 30(4). 926–942. 13 indexed citations
13.
Barr, Stuart, et al.. (2015). Resilience of Hierarchical Critical Infrastructure Networks. 2 indexed citations
14.
Ghobadian, Abby, Philip James, Jonathan Liu, & Howard Viney. (2014). A spatial approach to mapping corporate environmental behaviour. International Journal of Environment and Pollution. 1 indexed citations
15.
Galatioto, Fabio, et al.. (2011). Integration of Low-Cost Sensors with UTMC for Assessing Environmental Impacts of Traffic in Urban Area. 2 indexed citations
16.
Dibben, Pauline, Geoffrey Wood, Ian Roper, & Philip James. (2007). Modernising work in public services: redefining roles and relationships in Britain's changing workplace. Palgrave Macmillan eBooks. 6 indexed citations
17.
Cunningham, Ian, Philip James, & Pauline Dibben. (2006). Tensions in local government employment relationships. Public Management Review. 8(2). 207–225. 11 indexed citations
18.
Ford, Alistair & Philip James. (2005). Integration of 3D petroleum datasets in commercial GIS. 2 indexed citations
19.
Higgins, Paul, Philip James, & Ian Roper. (2005). The Role of Competition in Best Value: How Far Does it Differ from CCT?. Local Government Studies. 31(2). 219–235. 10 indexed citations
20.
James, Philip, et al.. (1980). The Benefits of Art for Mainstreamed Hearing-Impaired Children.. The Volta Review. 82(2). 1 indexed citations

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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