Virginia L. Ballarin

887 citations
68 papers · 557 indexed · h-index 14

Virginia L. Ballarin

63 papers receiving 522 citations

Peers

Virginia L. Ballarin
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 150
  • Agronomy and Crop Science 35
  • Soil Science 32
  • Media Technology 29
  • Artificial Intelligence 93
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Countries citing papers authored by Virginia L. Ballarin

Since Specialization
Citations

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

Fields of papers citing papers by Virginia L. Ballarin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia L. Ballarin. 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 Virginia L. Ballarin. The network helps show where Virginia L. Ballarin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20222
3 20200
4 20188
5
Interval type-2 fuzzy predicates for brain magnetic resonance image segmentation
20171
6 201722
7 20160
8 20152
9 201438
10 20146
11 201116
12
Automatic marker determination algorithm for watershed segmentation using clustering
20098
13 200948
14 20098
15 200935
16
CLASSIFICATION OF DYNAMIC SPECKLE SIGNALS THROUGH GRANULOMETRIC SIZE DISTRIBUTION
20095
17
Segmentation of Medical Images using Fuzzy Mathematical Morphology
200731
18 200521
19
Enhancement techniques in fingerprints as a tool in dactyloscopy
20031
20 19989

About Virginia L. Ballarin

Virginia L. Ballarin is a scholar working on Computer Vision and Pattern Recognition, Medical Laboratory Technology, Biophysics, Computational Theory and Mathematics and Physiology, having authored 68 papers that have together received 557 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers), Digital Imaging for Blood Diseases (9 papers), Rough Sets and Fuzzy Logic (7 papers), Retinal Imaging and Analysis (6 papers), Fuzzy Logic and Control Systems (5 papers), Neural Networks and Applications (5 papers) and Thermoregulation and physiological responses (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Agronomy and Crop Science (35 citations), Soil Science (32 citations), Media Technology (29 citations) and Artificial Intelligence (93 citations). Virginia L. Ballarin has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Juan Ignacio Pastore, Marcel Brun, Gustavo J. Meschino, Lori A. Dalton, E. G. Gregorich, Malcolm J. Morrison, Astrid Perlade, X. Lemoine, Samuel Forest and Gustavo A. Abraham. Their work appears in journals such as Metallurgical and Materials Transactions A, Signal Processing, Information Sciences, Knowledge-Based Systems and Nutrient Cycling in Agroecosystems.

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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