Cristina Gomila

32 total papers · 836 total citations
26 papers, 614 citations indexed

About

Cristina Gomila is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Cristina Gomila has authored 26 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Cristina Gomila's work include Video Coding and Compression Technologies (22 papers), Advanced Vision and Imaging (19 papers) and Advanced Image Processing Techniques (10 papers). Cristina Gomila is often cited by papers focused on Video Coding and Compression Technologies (22 papers), Advanced Vision and Imaging (19 papers) and Advanced Image Processing Techniques (10 papers). Cristina Gomila collaborates with scholars based in United States, France and South Korea. Cristina Gomila's co-authors include PoLin Lai, Dong Tian, Antonio Ortega, Peng Yin, Woo-Shik Kim, Wooshik Kim, Florian Meyer, O. Divorra Escoda, Jae Hoon Kim and Chang Wen Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Annals of Telecommunications.

In The Last Decade

Cristina Gomila

25 papers receiving 593 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cristina Gomila 611 471 29 25 13 26 614
PoLin Lai 660 1.1× 533 1.1× 41 1.4× 31 1.2× 13 1.0× 24 676
Martin Winken 669 1.1× 582 1.2× 37 1.3× 12 0.5× 5 0.4× 23 688
Christian Bartnik 538 0.9× 467 1.0× 29 1.0× 15 0.6× 7 0.5× 11 567
Joël Jung 509 0.8× 412 0.9× 50 1.7× 39 1.6× 4 0.3× 42 549
Sehoon Yea 650 1.1× 391 0.8× 91 3.1× 82 3.3× 19 1.5× 40 686
Dirk Farin 501 0.8× 236 0.5× 31 1.1× 27 1.1× 33 2.5× 35 546
D. Farin 540 0.9× 284 0.6× 38 1.3× 40 1.6× 26 2.0× 28 580
Yaowu Xu 571 0.9× 421 0.9× 37 1.3× 8 0.3× 22 1.7× 53 620
Martin Köppel 504 0.8× 175 0.4× 99 3.4× 75 3.0× 8 0.6× 25 552
V. Bhaskaran 448 0.7× 313 0.7× 43 1.5× 5 0.2× 38 2.9× 29 528

Countries citing papers authored by Cristina Gomila

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Gomila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Gomila

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

All Works

Loading papers...

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

Rankless by CCL
2026