Uday Kurkure

760 total citations
25 papers, 520 citations indexed

About

Uday Kurkure is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Uday Kurkure has authored 25 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Uday Kurkure's work include Medical Image Segmentation Techniques (10 papers), Cloud Computing and Resource Management (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Uday Kurkure is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Cloud Computing and Resource Management (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Uday Kurkure collaborates with scholars based in United States, India and Finland. Uday Kurkure's co-authors include Ioannis A. Kakadiaris, Amol Pednekar, T. K. Callahan, Yanbing Li, Scott D. Flamm, Raja Muthupillai, Gerd Brunner, Deepak R. Chittajallu, Manos Papadakis and Morteza Naghavi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Lecture notes in computer science and Computerized Medical Imaging and Graphics.

In The Last Decade

Uday Kurkure

21 papers receiving 484 citations

Peers

Uday Kurkure
Comparison fields: 5 of 56
  • Radiology, Nuclear Medicine and Imaging 220
  • Hardware and Architecture 177
  • Computer Vision and Pattern Recognition 150
  • Computer Networks and Communications 135
  • Biomedical Engineering 127
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Citations per field, relative to Uday Kurkure
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Citations per year, relative to Uday Kurkure
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Countries citing papers authored by Uday Kurkure

Since Specialization
Citations

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

Fields of papers citing papers by Uday Kurkure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uday Kurkure

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kurkure. A scholar is included among the top collaborators of Uday Kurkure based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uday Kurkure. Uday Kurkure is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 9
6 4
7 2
8 1
9 2
10 2
11 1
12 42
13 47
14 3
15
Computational methods for non-invasive cardiovascular image analysis
1
16 50
17 35
18 101
19
Adaptive Fuzzy Connectedness-Based Medical Image Segmentation.
13
20 180

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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