Miloš Ajčević

1.7k total citations · 1 hit paper
90 papers, 1.1k citations indexed

About

Miloš Ajčević is a scholar working on Epidemiology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Miloš Ajčević has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 22 papers in Neurology and 21 papers in Cognitive Neuroscience. Recurrent topics in Miloš Ajčević's work include Acute Ischemic Stroke Management (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Stroke Rehabilitation and Recovery (9 papers). Miloš Ajčević is often cited by papers focused on Acute Ischemic Stroke Management (25 papers), EEG and Brain-Computer Interfaces (14 papers) and Stroke Rehabilitation and Recovery (9 papers). Miloš Ajčević collaborates with scholars based in Italy, Slovenia and United States. Miloš Ajčević's co-authors include Paolo Manganotti, Giovanni Furlanis, Alex Buoite Stella, Agostino Accardo, Marcello Naccarato, Paola Caruso, Aleksandar Miladinović, Maja Ukmar, Maria Assunta Cova and Mauro Giuffrè and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Miloš Ajčević

79 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

2024 79 citations Mauro Giuffrè, Miloš Ajčević et al. npj Digital Medicine profile →

Peers

Miloš Ajčević

NEURO

EPIDE

PMH

PRM

Giovanni Furlanis Italy

Anne Chan Hong Kong

Şerefnur Öztürk Türkiye

Matthew A. Koenig United States

Alex Buoite Stella Italy

D.L.J. Tavy Netherlands

Marcello Naccarato Italy

Sophie K. Piper Germany

Seong Hoon Lim South Korea

Yeo Jin Kim South Korea

Giovanni Furlanis Italy

Miloš Ajčević

468 ×1.2

NEURO

278 ×1.0

EPIDE

142 ×0.8

225 ×1.8

PMH

109 ×1.0

PRM

Citations per year, relative to Miloš Ajčević Miloš Ajčević (= 1×) peers Giovanni Furlanis

Countries citing papers authored by Miloš Ajčević

Since Specialization

Citations

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

Fields of papers citing papers by Miloš Ajčević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Ajčević

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

All Works

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20 of 20 papers shown

Furlanis, Giovanni, et al.. (2025). Early point-of-care EEG in acute stroke: Prevalence and predictive factors of early post-stroke status epilepticus (e-PSSE). Seizure. 133. 8–15.

Miladinović, Aleksandar, Massimo Zecchin, Chiara Baggio, et al.. (2025). Enhancing differential diagnosis of IHD and DCM using interpretable machine learning in mildly reduced ejection fraction. Journal of Cardiovascular Medicine. 26(11). 640–648.

Giuffrè, Mauro, Kisung You, Zengchang Pang, et al.. (2025). Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. npj Digital Medicine. 8(1). 242–242. 2 indexed citations

Giuffrè, Mauro, Nicola Pugliese, Miloš Ajčević, et al.. (2025). From Guidelines to Real‐Time Conversation: Expert‐Validated Retrieval‐Augmented and Fine‐Tuned GPT ‐4 for Hepatitis C Management. Liver International. 45(10). e70349–e70349.

Miladinović, Aleksandar, Giovanni Furlanis, Marcello Naccarato, et al.. (2024). Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques. Procedia Computer Science. 246. 4600–4609.

Furlanis, Giovanni, et al.. (2024). Neurological long-COVID: Associations among fatigue, dysautonomia, depression, and subjective memory complaints. Clinical Neurology and Neurosurgery. 246. 108522–108522. 2 indexed citations

Zabetta, Carlos D. Coda, et al.. (2024). A Method for Compensating Hemoglobin Interference in Total Serum Bilirubin Measurement Using a Simple Two-Wavelength Reflectance Photometer. Sensors. 24(20). 6749–6749.

Miladinović, Aleksandar, et al.. (2024). Non-Invasive Recording of Ocular-Following Responses in Children: A Promising Tool for Stereo Deficiency Evaluation. Journal of Clinical Medicine. 13(6). 1596–1596.

Zabetta, Carlos D. Coda, et al.. (2024). Optimization of an Algorithm for Hemoglobin Interference Compensation on a Simple Photometer for Bilirubin Measurement. 45. 1–6. 1 indexed citations

10.

Miladinović, Aleksandar, et al.. (2024). Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness. Sensors. 24(18). 6125–6125. 7 indexed citations

11.

Marušič, Uroš, Aleš Holobar, Klaus Gramann, et al.. (2023). Neuromuscular assessment of force development, postural, and gait performance under cognitive-motor dual-tasking in healthy older adults and early Parkinson's disease patients: Study protocol for a cross-sectional Mobile Brain/Body Imaging (MoBI) study. Open Research Europe. 3. 58–58.

12.

Reale, Giuseppe, Chiara Iacovelli, Marco Rabuffetti, et al.. (2023). Actigraphic Sensors Describe Stroke Severity in the Acute Phase: Implementing Multi-Parametric Monitoring in Stroke Unit. Journal of Clinical Medicine. 12(3). 1178–1178. 3 indexed citations

13.

Miladinović, Aleksandar, et al.. (2022). Naive Bayesian-based Nomogram for Identification of Early Asymptomatic Dilated Cardiomyopathy. Computing in cardiology.

14.

Miladinović, Aleksandar, et al.. (2021). Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?. arXiv (Cornell University). 1 indexed citations

15.

Dinoto, Alessandro, Miloš Ajčević, Franca Dore, et al.. (2021). ASL MRI and 18F-FDG-PET in autoimmune limbic encephalitis: clues from two paradigmatic cases. Neurological Sciences. 42(8). 3423–3425. 8 indexed citations

16.

Ajčević, Miloš, Giovanni Furlanis, Marcello Naccarato, et al.. (2021). e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic. International Journal of Medical Informatics. 152. 104442–104442. 12 indexed citations

17.

Ajčević, Miloš, Riccardo Candido, Roberta Assaloni, Agostino Accardo, & Maria Pia Francescato. (2020). Personalized Approach for the Management of Exercise-Related Glycemic Imbalances in Type 1 Diabetes: Comparison with Reference Method. Journal of Diabetes Science and Technology. 15(5). 1153–1160. 1 indexed citations

18.

Granato, Antonio, et al.. (2020). A novel computed tomography perfusion-based quantitative tool for evaluation of perfusional abnormalities in migrainous aura stroke mimic. Neurological Sciences. 41(11). 3321–3328. 12 indexed citations

19.

Miladinović, Aleksandar, et al.. (2020). Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study. Computer Methods and Programs in Biomedicine. 198. 105808–105808. 27 indexed citations

20.

Francescato, Maria Pia, Miloš Ajčević, & Agostino Accardo. (2019). Carbohydrate Requirement for Exercise in Type 1 Diabetes: Effects of Insulin Concentration. Journal of Diabetes Science and Technology. 14(6). 1116–1121. 5 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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