Iker Gondra

640 total citations
33 papers, 409 citations indexed

About

Iker Gondra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Iker Gondra has authored 33 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Iker Gondra's work include Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Medical Image Segmentation Techniques (8 papers). Iker Gondra is often cited by papers focused on Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Medical Image Segmentation Techniques (8 papers). Iker Gondra collaborates with scholars based in Canada, United States and Spain. Iker Gondra's co-authors include I. Cabria, Douglas R. Heisterkamp, H. K. Dai, Jing Peng, Tao Xu, Jacob Levman, Emi Takahashi, David Chiu and Pascal N. Tyrrell and has published in prestigious journals such as Frontiers in Neuroscience, Information Fusion and Neural Computing and Applications.

In The Last Decade

Iker Gondra

32 papers receiving 381 citations

Peers

Countries citing papers authored by Iker Gondra

Since Specialization

Citations

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

Fields of papers citing papers by Iker Gondra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iker Gondra

This figure shows the co-authorship network connecting the top 25 collaborators of Iker Gondra. A scholar is included among the top collaborators of Iker Gondra 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 Iker Gondra. Iker Gondra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning 2022 ·Frontiers in Neuroscience ·Jacob Levman, (unknown), (unknown), (unknown), (unknown), (unknown), Iker Gondra, Emi Takahashi	8
2	Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications 2021 ·ACM Transactions on Internet Technology ·David Chiu, (unknown), Iker Gondra	3
3	Hold‐out validation for the assessment of stability and reliability of multivariable regression demonstrated with magnetic resonance imaging of patients with schizophrenia 2021 ·International Journal of Developmental Neuroscience ·Jacob Levman, (unknown), (unknown), (unknown), (unknown), (unknown), Iker Gondra, Emi Takahashi, Pascal N. Tyrrell	9
4	Canny SLIC to Compute Content-Sensitive Superpixels 2018 ·(unknown), Iker Gondra	1
5	MRI segmentation fusion for brain tumor detection 2016 ·Information Fusion ·I. Cabria, Iker Gondra	80
6	A maximum partial entropy-based method for multiple-instance concept learning 2016 ·Applied Intelligence ·(unknown), Iker Gondra, David Chiu	2
7	Future directions in Multiple Instance Learning 2013 ·Applied Computer Science ·David Chiu, Iker Gondra, (unknown)	1
8	Learning spatial relations for object-specific segmentation using Bayesian network model 2012 ·Signal Image and Video Processing ·Iker Gondra, (unknown)	2
9	An efficient parallel neural network-based multi-instance learning algorithm 2012 ·The Journal of Supercomputing ·(unknown), Iker Gondra, (unknown)	9
10	A Mean Shift-Based Initialization Method for K-means 2012 ·I. Cabria, Iker Gondra	9
11	A simple and effective texture characterization for image segmentation 2010 ·Signal Image and Video Processing ·(unknown), Iker Gondra	7
12	Image region re-weighting via multiple instance learning 2009 ·Signal Image and Video Processing ·Iker Gondra, Tao Xu	1
13	Texture map 2009 ·Tao Xu, Iker Gondra	2
14	An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm. 2008 ·IPCV ·(unknown), Iker Gondra	0
15	Adaptive mean shift-based image segmentation using multiple instance learning 2008 ·Iker Gondra, (unknown)	3
16	A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval. 2005 ·Iker Gondra, Douglas R. Heisterkamp	1
17	Learning in Region-Based Image Retrieval with Generalized Support Vector Machines 2005 ·Iker Gondra, Douglas R. Heisterkamp	12
18	Probabilistic Region Relevance Learning for Content-Based Image Retrieval. 2004 ·Iker Gondra, Douglas R. Heisterkamp	6
19	Summarizing inter-query learning in content-based image retrieval via incremental semantic clustering 2004 ·Iker Gondra, Douglas R. Heisterkamp	4
20	Multi-heuristic list scheduling genetic algorithm for task scheduling 2003 ·(unknown), Iker Gondra, H. K. Dai	5

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