J. Barba

476 citations
31 papers · 375 · h-index 10

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Medical Image Segmentation Techniques
    • Digital Imaging for Blood Diseases
    • Image Retrieval and Classification Techniques
    • Advanced Data Compression Techniques

Papers in

J. Barba

30 papers receiving 356 citations

Peers

J. Barba
Comparison fields: 5 of 80
  • Biophysics 92
  • Computer Vision and Pattern Recognition 215
  • Artificial Intelligence 146
  • Media Technology 36
  • Reproductive Medicine 19
Replace Qiufu Li with:
Qiufu Li China
Iringo Kovacs Netherlands
Yixin Li China
Sumit K. Nath United States
Anton Böhm Germany
D. P. Huijsmans Netherlands
Dirk Padfield United States
N. K. Timofeeva Netherlands
Fethallah Benmansour Switzerland
Marek Kowal Poland
J. Barba relative to Qiufu Li China Qiufu Li's profile →
Citations per field
00.5×5.5×
Qiufu Li · 1×
Citations per year

Countries citing papers authored by J. Barba

Since Specialization
Citations

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

Fields of papers citing papers by J. Barba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199887
2 199857
3 199339
4 199832
5 199419
6 198918
7 199517
8 199613
9 199212
10 19929
11 19939
12 19968
13 20177
14 19966
15
Morphometric analysis of benign and malignant adrenal pheochromocytomas.
19936
16 19846
17 19845
18 19923
19 19883
20 19863

About J. Barba

J. Barba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 375 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), AI in cancer detection (9 papers), Advanced Data Compression Techniques (6 papers), Digital Imaging for Blood Diseases (4 papers), Analog and Mixed-Signal Circuit Design (4 papers), Image Processing Techniques and Applications (3 papers), Cell Image Analysis Techniques (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (92 citations), Computer Vision and Pattern Recognition (215 citations), Artificial Intelligence (146 citations), Media Technology (36 citations) and Reproductive Medicine (19 citations). J. Barba has collaborated with scholars based in United States and Colombia. Frequent co-authors include J. Gil, Haishan Wu, Huihui Wu, Liane Deligdisch, Joan Gil, Joan Gil, Hongkai Wu, Paul E. Fenster, Pamela D. Unger and Andrew J. Einstein. Their work appears in journals such as Journal of Microscopy, Electronics Letters, American Journal of Veterinary Research, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact