Isaac Cano

1.4k citations
62 papers · 843 · h-index 17

Impact in

Papers in

Isaac Cano

59 papers receiving 820 citations

Peers

Isaac Cano
Comparison fields: 5 of 125
  • Health Information Management 161
  • Health Informatics 18
  • General Health Professions 150
  • Pulmonary and Respiratory Medicine 99
  • Information Systems and Management 29
Replace Vinod K. Ravindran with:
Vinod K. Ravindran India
Susanna Palkonen United Kingdom
Jeongeun Kim South Korea
Neeraja B. Peterson United States
Mihaela Zidarn Slovenia
T. Camuzat France
Benjamin L. Ranard United States
Jaime Correia de Sousa Portugal
Leonard DʼAvolio United States
Isaac Cano relative to Vinod K. Ravindran India Vinod K. Ravindran's profile →
Citations per field
00.5×2×3×3.7×
Vinod K. Ravindran · 1×
Citations per year

Countries citing papers authored by Isaac Cano

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 201962
3 201648
4 201543
5 201440
6 201537
7 201834
8 201729
9 202128
10 201627
11 201325
12 201422
13 201822
14 202222
15 201821
16 202020
17 201518
18 201617
19 202216
20 201414

About Isaac Cano

Isaac Cano is a scholar working on Health Information Management, General Health Professions, Public Health, Environmental and Occupational Health, Epidemiology and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 843 indexed citations. Recurring topics across this work include Electronic Health Records Systems (15 papers), Chronic Disease Management Strategies (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Telemedicine and Telehealth Implementation (8 papers), Mobile Health and mHealth Applications (6 papers), Artificial Intelligence in Healthcare (5 papers), Healthcare Quality and Management (4 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Health Information Management (161 citations), Health Informatics (18 citations), General Health Professions (150 citations), Pulmonary and Respiratory Medicine (99 citations) and Information Systems and Management (29 citations). Isaac Cano has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Josep Roca, David Gómez-Cabrero, Marta Cascante, Emili Vela, Peter D. Wagner, C Hernández, Jesper N. Tegner, Anael Barberán-García, Pedro de Atauri and Erik Baltaxe. Their work appears in journals such as International Journal of Integrated Care, Journal of Medical Internet Research, BMC Health Services Research, Journal of Translational Medicine and BMJ Open.

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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