Carl Tilling

400 total citations
9 papers, 307 citations indexed

About

Carl Tilling is a scholar working on Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Carl Tilling has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 5 papers in General Health Professions and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Carl Tilling's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Healthcare Policy and Management (5 papers) and Global Health Care Issues (4 papers). Carl Tilling is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Healthcare Policy and Management (5 papers) and Global Health Care Issues (4 papers). Carl Tilling collaborates with scholars based in United Kingdom, New Zealand and Netherlands. Carl Tilling's co-authors include Aki Tsuchiya, Nancy Devlin, Ken Buckingham, Marieke Krol, John Brazier, Werner Brouwer, Koonal Shah, Ben van Hout, Job van Exel and Jason Gordon and has published in prestigious journals such as Medical Decision Making, Health Economics and Value in Health.

In The Last Decade

Carl Tilling

9 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Tilling United Kingdom 7 270 134 42 14 12 9 307
Bram Roudijk Netherlands 12 274 1.0× 98 0.7× 52 1.2× 21 1.5× 13 1.1× 45 383
Shitong Xie China 10 207 0.8× 90 0.7× 52 1.2× 21 1.5× 17 1.4× 36 276
Alastair Fischer United Kingdom 9 123 0.5× 110 0.8× 21 0.5× 43 3.1× 13 1.1× 14 250
Brian O’Rourke United States 5 253 0.9× 120 0.9× 24 0.6× 59 4.2× 5 0.4× 7 341
Admassu N. Lamu Norway 11 176 0.7× 119 0.9× 49 1.2× 13 0.9× 65 5.4× 21 324
Shaolong Wu China 10 84 0.3× 110 0.8× 18 0.4× 20 1.4× 21 1.8× 14 233
Alexander S. Kaldjian United States 3 66 0.2× 44 0.3× 20 0.5× 20 1.4× 12 1.0× 4 219
L. Maher Australia 2 68 0.3× 185 1.4× 14 0.3× 48 3.4× 8 0.7× 4 282
Lyle Nelson United States 9 242 0.9× 209 1.6× 7 0.2× 12 0.9× 11 0.9× 16 318
Sunil Kumar Shah Nepal 7 54 0.2× 49 0.4× 19 0.5× 11 0.8× 18 1.5× 22 240

Countries citing papers authored by Carl Tilling

Since Specialization
Citations

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

Fields of papers citing papers by Carl Tilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Tilling

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

All Works

9 of 9 papers shown
1.
Tilling, Carl, Marieke Krol, Arthur E. Attema, et al.. (2015). Exploring a new method for deriving the monetary value of a QALY. The European Journal of Health Economics. 17(7). 801–809. 11 indexed citations
2.
Idris, Iskandar, Jason Gordon, Carl Tilling, & Jiten Vora. (2014). A cost comparison of long-acting insulin analogs vs NPH insulin-based treatment in patients with type 2 diabetes using routinely collected primary care data from the UK. Journal of Medical Economics. 18(4). 273–282. 8 indexed citations
3.
Devlin, Nancy, Ken Buckingham, Koonal Shah, et al.. (2012). A COMPARISON OF ALTERNATIVE VARIANTS OF THE LEAD AND LAG TIME TTO. Health Economics. 22(5). 517–532. 54 indexed citations
4.
Tilling, Carl, Marieke Krol, Aki Tsuchiya, et al.. (2011). Does the EQ-5D Reflect Lost Earnings?. PharmacoEconomics. 30(1). 47–61. 19 indexed citations
5.
Devlin, Nancy, Aki Tsuchiya, Ken Buckingham, & Carl Tilling. (2010). A uniform time trade off method for states better and worse than dead: feasibility study of the ‘lead time’ approach. Health Economics. 20(3). 348–361. 112 indexed citations
6.
Tilling, Carl, Nancy Devlin, Aki Tsuchiya, & Ken Buckingham. (2010). Protocols for Time Tradeoff Valuations of Health States Worse than Dead: A Literature Review. Medical Decision Making. 30(5). 610–619. 58 indexed citations
7.
Devlin, Nancy, Ken Buckingham, Koonal Shah, et al.. (2010). A Comparison of Alternative Variants of the Lead and Lag Time TTO. SSRN Electronic Journal. 2 indexed citations
8.
Tilling, Carl, Marieke Krol, Aki Tsuchiya, John Brazier, & Werner Brouwer. (2009). In or Out? Income Losses in Health State Valuations: A Review. Value in Health. 13(2). 298–305. 38 indexed citations
9.
Tilling, Carl, Nancy Devlin, Aki Tsuchiya, & Ken Buckingham. (2008). Protocols for TTO valuations of health states worse than dead: A literature review and framework for systematic analysis. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 5 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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