Marc Bolaños

943 total citations
32 papers, 444 citations indexed

About

Marc Bolaños is a scholar working on Oncology, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marc Bolaños has authored 32 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marc Bolaños's work include Colorectal Cancer Treatments and Studies (11 papers), Cancer Treatment and Pharmacology (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Marc Bolaños is often cited by papers focused on Colorectal Cancer Treatments and Studies (11 papers), Cancer Treatment and Pharmacology (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Marc Bolaños collaborates with scholars based in Spain, Chile and United States. Marc Bolaños's co-authors include Petia Radeva, Eduardo Aguilar, Beatriz Remeseiro, P. Escudero, Jaime Feliú, Javier de Castro, Ferrán Losa, Joost van de Weijer, Antonieta Salud and Manuel González-Barón and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Marc Bolaños

30 papers receiving 425 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc Bolaños Spain 10 174 99 91 83 53 32 444
Kim Erlend Mortensen Norway 11 143 0.8× 20 0.2× 35 0.4× 28 0.3× 60 1.1× 21 423
Sarah Zhang United States 10 34 0.2× 52 0.5× 83 0.9× 18 0.2× 37 0.7× 21 526
Lina Choridah Indonesia 13 97 0.6× 57 0.6× 23 0.3× 9 0.1× 53 1.0× 58 460
Luisa F. Sánchez‐Peralta Spain 10 135 0.8× 103 1.0× 105 1.2× 13 0.2× 44 0.8× 24 364
Youngwoo Kim South Korea 12 29 0.2× 13 0.1× 37 0.4× 21 0.3× 51 1.0× 41 418
Dongming Jiang United States 12 49 0.3× 21 0.2× 17 0.2× 9 0.1× 31 0.6× 45 582
Caojin Zhang China 11 14 0.1× 166 1.7× 13 0.1× 42 0.5× 118 2.2× 49 573
Helen Frazer Australia 11 57 0.3× 19 0.2× 26 0.3× 73 0.9× 62 1.2× 30 498
Poonam Patil India 7 55 0.3× 6 0.1× 29 0.3× 30 0.4× 52 1.0× 31 356

Countries citing papers authored by Marc Bolaños

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bolaños

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Bolaños

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Bolaños. A scholar is included among the top collaborators of Marc Bolaños 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 Marc Bolaños. Marc Bolaños 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
1.
Bolaños, Marc, et al.. (2024). LOFI: LOng-tailed FIne-Grained Network for Food Recognition. 3750–3760. 3 indexed citations
2.
Bolaños, Marc, et al.. (2023). Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. 43–52. 7 indexed citations
3.
Bolaños, Marc, et al.. (2022). Learning Multi-Subset of Classes for Fine-Grained Food Recognition. 17–26. 13 indexed citations
4.
Aguilar, Eduardo, et al.. (2020). Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. 9–16. 6 indexed citations
5.
Aguilar, Eduardo, et al.. (2020). Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. 9–16. 2 indexed citations
6.
Molina, Raquel, Juan Manuel Sánchez Pérez, Elísabeth Pérez-Ruiz, et al.. (2019). SEOM clinical guidelines to primary prevention of cancer (2018). Clinical & Translational Oncology. 21(1). 106–113. 6 indexed citations
7.
Aguilar, Eduardo, Beatriz Remeseiro, Marc Bolaños, & Petia Radeva. (2018). Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 80 indexed citations
8.
Bolaños, Marc, et al.. (2016). Can a CNN recognize Catalan diet?. AIP conference proceedings. 1773. 20002–20002. 3 indexed citations
9.
Bolaños, Marc, et al.. (2016). LEMoRe: A lifelog engine for moments retrieval at the NTCIR-lifelog LSAT task. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 7 indexed citations
10.
Bolaños, Marc, et al.. (2015). Visual summary of egocentric photostreams by representative keyframes. QRU Quaderns de Recerca en Urbanisme. 1–6. 20 indexed citations
11.
Rosal, Rafael Serrano del, et al.. (2014). Second primary malignancies in patients with neuroendocrine tumors. Clinical & Translational Oncology. 16(10). 921–926. 5 indexed citations
12.
Bolaños, Marc, Maite Garolera, & Petia Radeva. (2013). Active labeling application applied to food-related object recognition. 45–50. 5 indexed citations
13.
Feliú, Jaime, María José Safont, Antonieta Salud, et al.. (2010). Capecitabine and bevacizumab as first-line treatment in elderly patients with metastatic colorectal cancer. British Journal of Cancer. 102(10). 1468–1473. 39 indexed citations
14.
Feliú, Jaime, M. J. Safont, Ferrán Losa, et al.. (2008). First-line treatment with bevacizumab plus capecitabine for elderly patients with metastatic colorectal cancer: BECA trial. Journal of Clinical Oncology. 26(15_suppl). 15120–15120. 6 indexed citations
15.
Feliú, Jaime, Antonieta Salud, P. Escudero, et al.. (2006). XELOX (capecitabine plus oxaliplatin) as first-line treatment for elderly patients over 70 years of age with advanced colorectal cancer. British Journal of Cancer. 94(7). 969–975. 80 indexed citations
16.
Samuel-Lajeunesse, Joel Feliu i, et al.. (2004). A phase II study of capecitabine (X) in elderly patients (p) as 1st line treatment for patients (pts) with advanced or metastatic colorectal cancer (MCRC). Journal of Clinical Oncology. 22(14_suppl). 3567–3567. 3 indexed citations
17.
Sánchez‐Rovira, Pedro, et al.. (2004). Biweekly administration of irinotecan (CPT-11), oxaliplatin (OX) and 5-fluorouracil (5-FU) as first-line treatment of advanced or metastatic colorectal cancer (MCRC). Journal of Clinical Oncology. 22(14_suppl). 3561–3561. 3 indexed citations
18.
López‐Gómez, Luis, Alfonso Yubero, Joel Feliu i Samuel-Lajeunesse, et al.. (2004). XELOX (capecitabine and oxaliplatin) as 1st line treatment for elderly patients (pts) with advanced/metastatic colorectal cancer (MCRC). Journal of Clinical Oncology. 22(14_suppl). 3688–3688.
19.
Feliú, Jaime, P. Escudero, Ferrán Losa, et al.. (2003). 263 A study of capecitabine in elderly patients as first line treatment in advanced or metastatic colorectal cancer. European Journal of Cancer Supplements. 1(5). S81–S81. 4 indexed citations
20.
Feliú, Jaime, Pablo Borrega, P. Escudero, et al.. (2002). Phase II study of a fixed dose-rate infusion of gemcitabine associated with uracil/tegafur in advanced carcinoma of the pancreas. Annals of Oncology. 13(11). 1756–1762. 27 indexed citations

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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