Tim Freeman

66 papers receiving 2.5k citations

Peers

Tim Freeman
Comparison fields: 5 of 153
  • Information Systems and Management 470
  • Health Information Management 224
  • Computer Networks and Communications 1.2k
  • Information Systems 1.2k
  • Hardware and Architecture 135
Replace Nigel Edwards with:
Nigel Edwards United Kingdom
Hyeoneui Kim United States
A. Ant Ozok United States
Marion J. Ball United States
Peter Kemper United States
Elske Ammenwerth Austria
Jasna Kuljis United Kingdom
Bernd Blobel Germany
Vivian Vimarlund Sweden
Craig Kuziemsky Canada
Tim Freeman relative to Nigel Edwards United Kingdom Nigel Edwards's profile →
Citations per field
00.5×10×15×20×24.7×
Nigel Edwards · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006361
2 2008284
3
Science Clouds: Early Experiences in Cloud Computing for Scientific Applications
2008212
4 2005201
5 2010198
6 2002178
7 2006156
8 2008121
9 201285
10 200880
11 201378
12 200447
13 201146
14 200646
15 200740
16 200636
17 200734
18 201030
19 201629
20 200927

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 Information Systems, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Healthcare Quality and Management (21 papers), Distributed and Parallel Computing Systems (16 papers), Scientific Computing and Data Management (13 papers), Cloud Computing and Resource Management (12 papers), Medical Malpractice and Liability Issues (10 papers), Healthcare Policy and Management (5 papers), Management and Organizational Studies (5 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Information Systems and Management (470 citations), Health Information Management (224 citations), Computer Networks and Communications (1.2k citations), Information Systems (1.2k citations) and Hardware and Architecture (135 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 Social Science & Medicine, Economic and Industrial Democracy, Dermatologic Surgery, Sociology of Health & Illness and Public Money & Management.

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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