Tim Freeman

67 papers receiving 2.5k citations

Peers

Tim Freeman
Comparison fields: 5 of 151
  • Information Systems and Management 481
  • Health Information Management 233
  • Computer Networks and Communications 1.3k
  • Information Systems 1.2k
  • Hardware and Architecture 137
Replace Vasa Ćurčin with:
Vasa Ćurčin United Kingdom
Hyeoneui Kim United States
Elske Ammenwerth Austria
Jasna Kuljis United Kingdom
Peter F. Kemper United States
Bernd Blobel Germany
Craig E. Kuziemsky Canada
Marco René Spruit Netherlands
Catherine E. Chronaki Greece
Farahnaz Sadoughi Iran
Tim Freeman relative to Vasa Ćurčin United Kingdom Vasa Ćurčin's profile →
Citations per field
00.5×5×10×13.7×
Vasa Ćurčin · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006355
2 2008296
3
Science Clouds: Early Experiences in Cloud Computing for Scientific Applications
2008220
4 2010203
5 2005200
6 2002180
7 2006156
8 2008122
9 201288
10 200881
11 201380
12 200449
13 201149
14 200645
15 200743
16 200634
17 200733
18 201531
19 201029
20 201629

About Tim Freeman

Tim Freeman is a scholar working on Health Information Management, Information Systems and Management, Pharmacy, Computer Networks and Communications and General Health Professions, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Healthcare Quality and Management (20 papers), Distributed and Parallel Computing Systems (17 papers), Scientific Computing and Data Management (14 papers), Cloud Computing and Resource Management (12 papers), Medical Malpractice and Liability Issues (10 papers), Management and Organizational Studies (5 papers), Healthcare Policy and Management (5 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Information Systems and Management (481 citations), Health Information Management (233 citations), Computer Networks and Communications (1.3k citations), Information Systems (1.2k citations) and Hardware and Architecture (137 citations). Tim Freeman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Katarzyna Keahey, Katarzyna Keahey, Ian Foster, Paul Marshall, Edward Peck, Russell Mannion, Ross W Millar, Renato Figueiredo, Maurício Tsugawa and J.A.B. Fortes. Their work appears in journals such as Social Science & Medicine, Sociology of Health & Illness, BMJ Quality & Safety, Public Money & Management and Economic and Industrial Democracy.

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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