Venet Osmani

3.3k total citations · 1 hit paper
68 papers, 2.0k citations indexed

About

Venet Osmani is a scholar working on Applied Psychology, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Venet Osmani has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Applied Psychology, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Epidemiology. Recurrent topics in Venet Osmani's work include Digital Mental Health Interventions (16 papers), Machine Learning in Healthcare (11 papers) and Sepsis Diagnosis and Treatment (10 papers). Venet Osmani is often cited by papers focused on Digital Mental Health Interventions (16 papers), Machine Learning in Healthcare (11 papers) and Sepsis Diagnosis and Treatment (10 papers). Venet Osmani collaborates with scholars based in Italy, Germany and Austria. Venet Osmani's co-authors include Oscar Mayora, Seyedmostafa Sheikhalishahi, Paul Lukowicz, Joel T. Dudley, Fabio Rinaldi, Riccardo Miotto, Alberto Lavelli, Agnes Grünerbl, Christian Häring and Amir Muaremi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Critical Care Medicine.

In The Last Decade

Venet Osmani

66 papers receiving 1.9k 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.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

2019 324 citations Seyedmostafa Sheikhalishahi, Riccardo Miotto et al. JMIR Medical Informatics profile →

Peers

Countries citing papers authored by Venet Osmani

Since Specialization

Citations

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

Fields of papers citing papers by Venet Osmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venet Osmani

This figure shows the co-authorship network connecting the top 25 collaborators of Venet Osmani. A scholar is included among the top collaborators of Venet Osmani 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 Venet Osmani. Venet Osmani 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	Generative AI mitigates representation bias and improves model fairness through synthetic health data 2025 ·PLoS Computational Biology ·(unknown), (unknown), (unknown), Sebastiano Barbieri, Giuseppe Jurman, Venet Osmani	3
2	Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study 2025 ·European Journal of Neurology ·Maria Chiara Malaguti, (unknown), Monica Moroni, (unknown), (unknown), Marco Chierici, Lorenzo Gios, Laura Avanzino, Roberta Marchese, Francesca Di Biasio, Matteo Pardini, (unknown), Paola Mandich, (unknown), Antonio Uccelli, Bruno Giometto, Giuseppe Jurman, Venet Osmani, (unknown)	1
3	Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients 2025 ·European Journal of Neurology ·Valentina Poretto, (unknown), Matteo Betti, (unknown), Angelo Bellinvia, (unknown), Caterina Lapucci, Monica Moroni, (unknown), Emilio Portaccio, (unknown), Lorenzo Gios, Marco Chierici, Giuseppe Jurman, Bruno Giometto, Matilde Inglese, Venet Osmani, (unknown), Antonio Uccelli, Maria Pia Amato	0
4	An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care 2023 ·Artificial Intelligence in Medicine ·Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi, Venet Osmani	11
5	The impact of ethnic background on ICU care and outcome in sepsis and septic shock – A retrospective multicenter analysis on 17,949 patients 2023 ·BMC Infectious Diseases ·Andreas Koköfer, Behrooz Mamandipoor, Maria Flamm, Richard Rezar, Sarah Wernly, Christian Datz, Christian Jung, Venet Osmani, Bernhard Wernly, Raphael Romano Bruno	4
6	Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis 2022 ·Medical Principles and Practice ·Daniel Dankl, Richard Rezar, Behrooz Mamandipoor, Zhichao Zhou, Sarah Wernly, Bernhard Wernly, Venet Osmani	21
7	Delirium prediction in the ICU: designing a screening tool for preventive interventions 2022 ·JAMIA Open ·Anirban Bhattacharyya, Seyedmostafa Sheikhalishahi, Heather Torbic, (unknown), Tiffany Wang, (unknown), Abhijit Duggal, Leo Anthony Celi, Venet Osmani	18
8	COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients 2022 ·SHILAP Revista de lepidopterología ·Behrooz Mamandipoor, Raphael Romano Bruno, Bernhard Wernly, Georg Wolff, Jesper Fjølner, Antonio Artigas, Bernardo Bollen Pinto, Joerg C. Schefold, Malte Kelm, Michael Beil, Sigal Sviri, Susannah Leaver, Dylan W. de Lange, Bertrand Guidet, Hans Flaatten, Wojciech Szczeklik, Christian Jung, Venet Osmani	4
9	Hyperlactatemia and altered lactate kinetics are associated with excess mortality in sepsis 2022 ·Wiener klinische Wochenschrift ·Richard Rezar, Behrooz Mamandipoor, (unknown), Christian Jung, Michael Lichtenauer, Uta C. Hoppe, (unknown), Venet Osmani, Bernhard Wernly	4
10	The Evolution of Personalized Healthcare and the Pivotal Role of European Regions in its Implementation 2021 ·Personalized Medicine ·Christine Nardini, Venet Osmani, (unknown), (unknown), Mauro Turrini, Christos Lionis, Thomas Neumuth, Wolfgang Ballensiefen, Elio Borgonovi, (unknown)	26
11	Underweight but not overweight is associated with excess mortality in septic ICU patients 2021 ·Wiener klinische Wochenschrift ·Thomas Danninger, Richard Rezar, Behrooz Mamandipoor, Daniel Dankl, Andreas Koköfer, Christian Jung, Bernhard Wernly, Venet Osmani	16
12	Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma 2021 ·Journal of Personalized Medicine ·Georg Semmler, Sarah Wernly, Bernhard Wernly, Behrooz Mamandipoor, (unknown), (unknown), Elmar Aigner, Christian Datz, Venet Osmani	9
13	Blood Lactate Concentration Prediction in Critical Care 2020 ·Studies in health technology and informatics ·Behrooz Mamandipoor, (unknown), Monica Moz, Venet Osmani	3
14	Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation 2020 ·International Journal of Medical Informatics ·Bernhard Wernly, Behrooz Mamandipoor, (unknown), Christian Jung, Venet Osmani	35
15	Sex-specific outcomes and management in critically ill septic patients 2020 ·European Journal of Internal Medicine ·Bernhard Wernly, Raphael Romano Bruno, Behrooz Mamandipoor, Christian Jung, Venet Osmani	8
16	Benchmarking machine learning models on multi-centre eICU critical care dataset 2020 ·PLoS ONE ·Seyedmostafa Sheikhalishahi, (unknown), Venet Osmani	41
17	Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review breakdown → 2019 ·JMIR Medical Informatics ·Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani	324
18	Stress modelling and prediction in presence of scarce data 2016 ·Journal of Biomedical Informatics ·Alban Maxhuni, Pablo Hernández-Leal, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora	47
19	Correlation of significant places with self-reported state of bipolar disorder patients 2014 ·(unknown), Venet Osmani, Oscar Mayora, (unknown), Paul Lukowicz	8
20	Speech activity detection using accelerometer 2012 ·PubMed ·Aleksandar Matić, Venet Osmani, Oscar Mayora	20

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