Luis Mancera

607 citations
20 papers · 380 · h-index 12

Impact in

Papers in

Luis Mancera

20 papers receiving 369 citations

Peers

Luis Mancera
Comparison fields: 5 of 85
  • Clinical Biochemistry 71
  • Media Technology 74
  • Computer Vision and Pattern Recognition 143
  • Molecular Medicine 30
  • Computational Mechanics 83
Replace Wei Jin with:
Wei Jin China
Qinglin Ma China
Krister Wiklund Sweden
Chi-Sing Ho United States
Lena Blackmon United States
Oleg Ryabchykov Germany
Huijie Huang China
Xingchen Lin China
Xiquan Cui United States
Kiyohiko Itoh Japan
Luis Mancera relative to Wei Jin China Wei Jin's profile →
Citations per field
00.5×4.9×
Wei Jin · 1×
Citations per year

Countries citing papers authored by Luis Mancera

Since Specialization
Citations

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

Fields of papers citing papers by Luis Mancera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200791
2 200354
3 200637
4 200724
5 202323
6 201820
7 201618
8 202217
9 200814
10 200913
11 202413
12 202312
13 202011
14 202110
15 20216
16 20224
17 20054
18 20094
19 20233
20 20092

About Luis Mancera

Luis Mancera is a scholar working on Clinical Biochemistry, Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Medicine and Molecular Biology, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (11 papers), Image and Signal Denoising Methods (7 papers), Advanced Image Processing Techniques (5 papers), Antibiotic Resistance in Bacteria (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Image Fusion Techniques (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Clinical Biochemistry (71 citations), Media Technology (74 citations), Computer Vision and Pattern Recognition (143 citations), Molecular Medicine (30 citations) and Computational Mechanics (83 citations). Luis Mancera has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Javier Portilla, Noboru Takeuchi, W. de la Cruz, J.A. Dı́az, G. Soto, Belén Rodríguez‐Sánchez, Michael Wuczkowski, Gerald Stübiger, Patricia Muñóz and S. Derin Babacan. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Physics and Chemistry of Solids, Journal of Fungi, IEEE Transactions on Image Processing and Emerging Microbes & Infections.

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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