Jovan Tanevski

About Jovan Tanevski

Jovan Tanevski, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Computational Biomedicine, Machine Learning, Computational Scientific Discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning tissue representation by identification of persistent local patterns in spatial omics data

Best practices for single-cell analysis across modalities

Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

LIANA+: an all-in-one cell-cell communication framework

Intratumoral heterogeneity in human hepatocellular carcinoma–a protein-based approach

Spatial multi-omic map of human myocardial infarction

Jovan Tanevski Information

University

Position

& Hospital Germany; Jožef Stefan Institute Slovenia

Citations(all)

969

Citations(since 2020)

945

Cited By

121

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Jovan Tanevski Skills & Research Interests

Computational Biomedicine

Machine Learning

Computational Scientific Discovery

Top articles of Jovan Tanevski

Learning tissue representation by identification of persistent local patterns in spatial omics data

bioRxiv

2024

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Best practices for single-cell analysis across modalities

2023/8

Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations

Machine Learning

2023/4

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Jennifer Adams
Jennifer Adams

H-Index: 18

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

arXiv preprint arXiv:2301.01682

2023/1/4

Arezou Rahimi
Arezou Rahimi

H-Index: 1

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

bioRxiv

2023

LIANA+: an all-in-one cell-cell communication framework

BioRxiv

2023

Intratumoral heterogeneity in human hepatocellular carcinoma–a protein-based approach

Zeitschrift für Gastroenterologie

2023/1

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Explainable multiview framework for dissecting spatial relationships from highly multiplexed data

Genome biology

2022/4/14

Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions

Immunity

2021/7/13

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Genome biology

2020/12

Learning surrogates of a radiative transfer model for the sentinel 5p satellite

2020/10/15

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Jennifer Adams
Jennifer Adams

H-Index: 18

Multi-level information fusion for learning a blood pressure predictive model using sensor data

Information Fusion

2020/6/1

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy

Biomedical Optics Express

2020/3/1

Jovan Tanevski
Jovan Tanevski

H-Index: 6

Combinatorial search for selecting the structure of models of dynamical systems with equation discovery

Engineering Applications of Artificial Intelligence

2020/3/1

Jovan Tanevski
Jovan Tanevski

H-Index: 6

See List of Professors in Jovan Tanevski University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

academic-engine