Tim Freeman

58 papers receiving 2.2k citations

Peers

Tim Freeman
Comparison fields: 5 of 156
  • Health Information Management 286
  • Information Systems and Management 410
  • Computer Networks and Communications 1.0k
  • Information Systems 1.0k
  • Pharmacy 134
Replace Hyeoneui Kim with:
Hyeoneui Kim United States
Nigel Edwards United Kingdom
Vasa Ćurčin United Kingdom
Raj Sharman United States
Joris van de Klundert Netherlands
Jim Davies United Kingdom
A. Ant Ozok United States
Ambrosio Toval Spain
Farahnaz Sadoughi Iran
Nilmini Wickramasinghe Australia
Tim Freeman relative to Hyeoneui Kim United States Hyeoneui Kim's profile →
Citations per field
00.5×10×16.8×
Hyeoneui Kim · 1×
Citations per year

Countries citing papers authored by Tim Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Tim Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Freeman, 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 Tim Freeman Line = papers co-authored together Tim Freeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006348
2 2008254
3
Science Clouds: Early Experiences in Cloud Computing for Scientific Applications
2008192
4 2002174
5 2010167
6 2005158
7 2006131
8 2008107
9 201280
10 201370
11 200859
12 200447
13 200644
14 201139
15 200636
16 200735
17 200732
18 201027
19 201627
20 200926

About Tim Freeman

Tim Freeman is a scholar working on Health Information Management, Computer Networks and Communications, General Health Professions, Information Systems and Management and Pharmacy, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Healthcare Quality and Management (19 papers), Distributed and Parallel Computing Systems (15 papers), Scientific Computing and Data Management (12 papers), Medical Malpractice and Liability Issues (12 papers), Cloud Computing and Resource Management (11 papers), Management and Organizational Studies (5 papers), Healthcare Policy and Management (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Health Information Management (286 citations), Information Systems and Management (410 citations), Computer Networks and Communications (1.0k citations), Information Systems (1.0k citations) and Pharmacy (134 citations). Tim Freeman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kate Keahey, K. Keahey, Ian Foster, Paul Marshall, Edward Peck, Ross Millar, Russell Mannion, Maurício Tsugawa, J.A.B. Fortes and Renato Figueiredo. Their work appears in journals such as Public Money & Management, Sociology of Health & Illness, Social Science & Medicine, Economic and Industrial Democracy and Dermatologic Surgery.

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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