Julio Vega

669 total citations
27 papers, 397 citations indexed

About

Julio Vega is a scholar working on Applied Psychology, Neurology and General Health Professions. According to data from OpenAlex, Julio Vega has authored 27 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Applied Psychology, 7 papers in Neurology and 6 papers in General Health Professions. Recurrent topics in Julio Vega's work include Digital Mental Health Interventions (11 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Autism Spectrum Disorder Research (6 papers). Julio Vega is often cited by papers focused on Digital Mental Health Interventions (11 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Autism Spectrum Disorder Research (6 papers). Julio Vega collaborates with scholars based in United States, United Kingdom and Finland. Julio Vega's co-authors include Denzil Ferreira, Kennedy Opoku Asare, Yannik Terhorst, Simon Harper, Caroline Jay, Eemil Lagerspetz, Ella Peltonen, Carissa A. Low, Simo Hosio and Chris Todd and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Future Generation Computer Systems.

In The Last Decade

Julio Vega

26 papers receiving 390 citations

Peers

Julio Vega

ECP

GHP

Peter Gamble United Kingdom

José Ferrão United Kingdom

Agnes Grünerbl Germany

Nelson Roque United States

Kennedy Opoku Asare Finland

Lucile Dupuy France

Sarah Aziz Qatar

Verónica Violant Spain

Talayeh Aledavood Finland

Kiero Guerra-Peña Dominican Republic

Peter Gamble United Kingdom

Julio Vega

132 ×0.9

62 ×0.5

ECP

128 ×1.9

GHP

32 ×0.6

17 ×0.4

Citations per year, relative to Julio Vega Julio Vega (= 1×) peers Peter Gamble

Countries citing papers authored by Julio Vega

Since Specialization

Citations

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

Fields of papers citing papers by Julio Vega

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julio Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Julio Vega. A scholar is included among the top collaborators of Julio Vega 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 Julio Vega. Julio Vega 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

Vega, Julio, et al.. (2023). Transportation Oriented Development Method: literature review. IOP Conference Series Earth and Environmental Science. 1141(1). 12002–12002. 1 indexed citations

Benito‐Garcia, Elizabeth, et al.. (2023). Patient and Physician Perspectives on the Use of a Connected Ecosystem for Diabetes Management: International Cross-Sectional Observational Study. JMIR Formative Research. 7. e47145–e47145. 1 indexed citations

Vega, Julio, et al.. (2023). A Wearable Vibratory Device (The Emma Watch) to Address Action Tremor in Parkinson Disease: Pilot Feasibility Study. PubMed. 8. e40433–e40433. 1 indexed citations

Berkel, Niels van, Francisco Nunes, Julio Vega, et al.. (2023). Exploring crowdsourced self-care techniques: A study on Parkinson’s disease. International Journal of Human-Computer Studies. 177. 103062–103062. 9 indexed citations

Vega, Julio, et al.. (2023). La construcción escolar de la estructura sociolingüística. SHILAP Revista de lepidopterología. 8(1). 1–30. 1 indexed citations

Vega, Julio, et al.. (2023). Computational methods for predicting human behaviour in smart environments. Journal of Ambient Intelligence and Smart Environments. 15(2). 179–205. 2 indexed citations

Ringwald, Whitney R., Julio Vega, Sang Won Bae, et al.. (2022). Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior. Future Generation Computer Systems. 132. 266–281. 12 indexed citations

Asare, Kennedy Opoku, Isaac Moshe, Yannik Terhorst, et al.. (2022). Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis. Pervasive and Mobile Computing. 83. 101621–101621. 47 indexed citations

Vega, Julio, et al.. (2022). Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge Eating. JMIR Mental Health. 9(4). e32146–e32146. 4 indexed citations

10.

Low, Carissa A., Julio Vega, Susan M. Sereika, et al.. (2022). A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial. SHILAP Revista de lepidopterología. 6. e41425–e41425. 7 indexed citations

11.

Ratitch, Bohdana, Isaac R. Rodriguez‐Chavez, Julio Vega, et al.. (2022). Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials. SHILAP Revista de lepidopterología. 6(3). 83–97. 4 indexed citations

12.

Ruissen, Geralyn R., Mark R. Beauchamp, Eli Puterman, et al.. (2022). Continuous-Time Modeling of the Bidirectional Relationship Between Incidental Affect and Physical Activity. Annals of Behavioral Medicine. 56(12). 1284–1299. 26 indexed citations

13.

McNaney, Róisín, Catherine Morgan, Julio Vega, et al.. (2022). Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson’s. CHI Conference on Human Factors in Computing Systems. 1–14. 9 indexed citations

14.

Low, Carissa A., Julio Vega, Denzil Ferreira, et al.. (2021). Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. JMIR Cancer. 7(2). e27975–e27975. 21 indexed citations

15.

Asare, Kennedy Opoku, Yannik Terhorst, Julio Vega, et al.. (2021). Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. JMIR mhealth and uhealth. 9(7). e26540–e26540. 79 indexed citations

16.

Vega, Julio, et al.. (2021). Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health. 3(59). 186–213. 30 indexed citations

17.

Vega, Julio, et al.. (2020). Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness. JMIR mhealth and uhealth. 8(11). e21543–e21543. 21 indexed citations

18.

Bell, Beth T., et al.. (2020). Shaping the Design of Smartphone-Based Interventions for Self-Harm. Research at York St John (York St John University). 1–14. 14 indexed citations

19.

Berkel, Niels van, Julio Vega, Ankit Kariryaa, C. Estelle Smith, & Ye Yuan. (2018). CHI 2018. IEEE Pervasive Computing. 17(3). 58–63. 1 indexed citations

20.

Mueller, Julia, Caroline Jay, Simon Harper, et al.. (2017). Web Use for Symptom Appraisal of Physical Health Conditions: A Systematic Review. Journal of Medical Internet Research. 19(6). e202–e202. 49 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.

Explore authors with similar magnitude of impact