M.P. Ramo

741 citations
14 papers · 605 · h-index 8

Impact in

Papers in

M.P. Ramo

14 papers receiving 574 citations

Peers

M.P. Ramo
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 266
  • Endocrinology, Diabetes and Metabolism 117
  • Media Technology 50
  • Signal Processing 48
  • Computer Graphics and Computer-Aided Design 15
Replace Giuseppe Coppini with:
Giuseppe Coppini Italy
S. J. Pöppl Germany
Chung‐Ming Wu Taiwan
Zairan Li China
Yanhua Cheng China
Ahmad Fadzil M. Hani Malaysia
Haseeb Hassan China
Samir S. Yadav India
Rui Fonseca-Pinto Portugal
Kersten Petersen Denmark
M.P. Ramo relative to Giuseppe Coppini Italy Giuseppe Coppini's profile →
Citations per field
00.5×5×11.7×
Giuseppe Coppini · 1×
Citations per year

Countries citing papers authored by M.P. Ramo

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Ramo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.P. Ramo. 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 M.P. Ramo. The network helps show where M.P. Ramo may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002336
2 1996139
3 199745
4 198818
5 199713
6 199713
7 198812
8 199710
9 19926
10 20024
11 19893
12 19963
13 19972
14 20021

About M.P. Ramo

M.P. Ramo is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pathology and Forensic Medicine, having authored 14 papers that have together received 605 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (6 papers), Ultrasound Imaging and Elastography (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Cardiac Imaging and Diagnostics (3 papers), Hormonal and reproductive studies (2 papers), Cardiovascular and exercise physiology (2 papers), Acute Myocardial Infarction Research (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Endocrinology, Diabetes and Metabolism (117 citations), Media Technology (50 citations), Signal Processing (48 citations) and Computer Graphics and Computer-Aided Design (15 citations). M.P. Ramo has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Timothy R. Spencer, William H. Nailon, Stephen McLaughlin, J Heikkilä, Matti Viitasalo, Jouko Karjalainen, Pia Heikkilä, Matti Mäntysaari, Markku S. Nieminen and Peter Kearney. Their work appears in journals such as Ultrasound in Medicine & Biology, The American Journal of Cardiology, European Heart Journal, Research in Experimental Medicine and Catheterization and Cardiovascular Diagnosis.

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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