Carlos Lima

36 papers receiving 351 citations

Peers

Carlos Lima
Comparison fields: 5 of 60
  • Gastroenterology 146
  • Health Informatics 5
  • Oncology 92
  • Computer Vision and Pattern Recognition 65
  • Pulmonary and Respiratory Medicine 85
Replace Yali Zheng with:
Yali Zheng Hong Kong
Andrzej Skalski Poland
Paweł Turcza Poland
Anjany Sekuboyina Germany
Ramesh Sunder Nayak India
Zhan Wu China
Di-Xiu Xue China
Yusuke Kurose Japan
Javier Oliván Bescós Netherlands
Keewon Shin South Korea
Carlos Lima relative to Yali Zheng Hong Kong Yali Zheng's profile →
Citations per field
00.5×1.5×2.3×
Yali Zheng · 1×
Citations per year

Countries citing papers authored by Carlos Lima

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201241
2 200840
3 200927
4 202121
5 200821
6 201918
7 201017
8 201915
9 202213
10 201212
11 201711
12 200711
13 201511
14 202310
15 202210
16 20179
17 20088
18 20108
19 20168
20 20177

About Carlos Lima

Carlos Lima is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine, Oncology, Signal Processing and Artificial Intelligence, having authored 42 papers that have together received 369 indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (13 papers), Colorectal Cancer Screening and Detection (11 papers), Gastric Cancer Management and Outcomes (7 papers), ECG Monitoring and Analysis (7 papers), Speech and Audio Processing (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Speech Recognition and Synthesis (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Gastroenterology (146 citations), Health Informatics (5 citations), Oncology (92 citations), Computer Vision and Pattern Recognition (65 citations) and Pulmonary and Respiratory Medicine (85 citations). Carlos Lima has collaborated with scholars based in Portugal, Brazil and Belgium. Frequent co-authors include Pedro M. Vieira, Daniel Barbosa, J. H. Correia, Adriano Tavares, Jaime Ramos, Carla Rolanda, Filomena Soares, Estêvão Lima, A. Ismael F. Vaz and Dalila Costa. Their work appears in journals such as Artificial Intelligence in Medicine, Electronics, Medical Physics, Annals of Biomedical Engineering and BioMedical Engineering OnLine.

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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