Daniel Ramirez-Cano

828 total citations
8 papers, 549 citations indexed

About

Daniel Ramirez-Cano is a scholar working on General Health Professions, Economics and Econometrics and Health. According to data from OpenAlex, Daniel Ramirez-Cano has authored 8 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Economics and Econometrics and 2 papers in Health. Recurrent topics in Daniel Ramirez-Cano's work include Healthcare Policy and Management (3 papers), Patient Satisfaction in Healthcare (3 papers) and Patient-Provider Communication in Healthcare (2 papers). Daniel Ramirez-Cano is often cited by papers focused on Healthcare Policy and Management (3 papers), Patient Satisfaction in Healthcare (3 papers) and Patient-Provider Communication in Healthcare (2 papers). Daniel Ramirez-Cano collaborates with scholars based in United Kingdom, Greece and United States. Daniel Ramirez-Cano's co-authors include Felix Greaves, Ara Darzi, Christopher Millett, Liam Donaldson, Jeremy Pitt, Dominic King, Ivo Vlaev, Robin Baumgarten, Simon Colton and Moez Draief and has published in prestigious journals such as The Lancet, Journal of Medical Internet Research and Health Policy.

In The Last Decade

Daniel Ramirez-Cano

8 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ramirez-Cano United Kingdom 7 224 142 128 121 69 8 549
Gaurav Tuli United States 11 103 0.5× 58 0.4× 97 0.8× 84 0.7× 24 0.3× 24 483
Miguel Ángel Mayer Spain 18 281 1.3× 139 1.0× 136 1.1× 260 2.1× 38 0.6× 75 1.1k
Brian Hazlehurst United States 18 181 0.8× 153 1.1× 47 0.4× 42 0.3× 71 1.0× 42 970
Lining Shen China 11 191 0.9× 31 0.2× 140 1.1× 153 1.3× 19 0.3× 13 616
Shirly Bar‐Lev Israel 10 218 1.0× 48 0.3× 179 1.4× 52 0.4× 111 1.6× 19 821
V. G. Vinod Vydiswaran United States 18 169 0.8× 398 2.8× 206 1.6× 64 0.5× 9 0.1× 71 962
Aviv Shachak Canada 14 511 2.3× 72 0.5× 114 0.9× 38 0.3× 217 3.1× 50 1.2k
Yalini Senathirajah United States 12 283 1.3× 63 0.4× 135 1.1× 49 0.4× 51 0.7× 41 782
Salman Bin Naeem Pakistan 11 184 0.8× 163 1.1× 446 3.5× 218 1.8× 12 0.2× 57 948
Fulvia Pennoni Italy 12 113 0.5× 195 1.4× 94 0.7× 57 0.5× 16 0.2× 43 803

Countries citing papers authored by Daniel Ramirez-Cano

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ramirez-Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ramirez-Cano. 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 Daniel Ramirez-Cano. The network helps show where Daniel Ramirez-Cano may publish in the future.

Co-authorship network of co-authors of Daniel Ramirez-Cano

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

All Works

8 of 8 papers shown
1.
Greaves, Felix, Anthony A Laverty, Daniel Ramirez-Cano, et al.. (2014). ANALYSIS OF PATIENTS' COMMENTS ABOUT HOSPITALS IN THE ENGLISH NHS VIA TWITTER, AND COMPARISON WITH PATIENT SURVEYS. BMJ Quality & Safety. 23(4). 348.2–348. 5 indexed citations
2.
King, Dominic, et al.. (2013). Twitter and the health reforms in the English National Health Service. Health Policy. 110(2-3). 291–297. 68 indexed citations
3.
Greaves, Felix, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, & Liam Donaldson. (2013). Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online. Journal of Medical Internet Research. 15(11). e239–e239. 220 indexed citations
4.
Greaves, Felix, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, & Liam Donaldson. (2013). Harnessing the cloud of patient experience: using social media to detect poor quality healthcare. BMJ Quality & Safety. 22(3). 251–255. 185 indexed citations
5.
Greaves, Felix, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, & Liam Donaldson. (2012). Machine learning and sentiment analysis of unstructured free-text information about patient experience online. The Lancet. 380. S10–S10. 13 indexed citations
6.
Pitt, Jeremy, Daniel Ramirez-Cano, Moez Draief, & Alexander Artikis. (2011). Interleaving multi-agent systems and social networks for organized adaptation. Computational and Mathematical Organization Theory. 17(4). 344–378. 13 indexed citations
7.
Ramirez-Cano, Daniel, Simon Colton, & Robin Baumgarten. (2010). Player Classification Using a Meta-Clustering Approach. 16 indexed citations
8.
Ramirez-Cano, Daniel & Jeremy Pitt. (2006). Follow the Leader: Profiling Agents in an Opinion Formation Model of Dynamic Confidence and Individual Mind-Sets. 660–667. 29 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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