Robert Palovics

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Citations	3293	3098
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i10-index	23	20

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András BenczúrInstitute for Computer Science and ControlVerified email at sztaki.hu
Tony Wyss-CorayStanford UniversityVerified email at stanford.edu
Fabian Kern, Ph.D.Helmholtz Institute for Pharmaceutical Research SaarlandVerified email at helmholtz-hips.de
Andreas KellerProfessor for Clinical Bioinformatics, Center for Bioinformatics, Saarland Informatics CampusVerified email at ccb.uni-saarland.de
Jian LuoPAVIR, VA Palo Alto Health Care SystemVerified email at stanford.edu
Patricia Morán LosadaSenior Research ScientistVerified email at stanford.edu
Andrew Chris YangUCSFVerified email at ucsf.edu
Oliver HahnPrincipal Investigator, Calico Life Sciences LLCVerified email at calicolabs.com
Nannan LuStanford UniversityVerified email at stanford.edu
Achint KaurPh.D. Student, Northwestern UniversityVerified email at northwestern.edu
Benoit LehallierAlkahestVerified email at alkahest.com
Erzsébet FrigóSZTAKIVerified email at sztaki.hu
Nicholas SchaumUniversity of CambridgeVerified email at cam.ac.uk
Kruti CalcuttawalaResearch Professional, Stanford UniversityVerified email at caredx.com
Ryan T VestPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
Elizabeth Y. WangUniversity of HawaiiVerified email at hawaii.edu
Michael S. HaneyUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
Domokos Miklós KelenEötvös Loránd UniversityVerified email at sztaki.mta.hu
David Gate, PhDAssistant Professor, Northwestern UniversityVerified email at northwestern.edu
Nathalie KhouryStanford UniversityVerified email at med.miami.edu

Robert Palovics

Instructor, Stanford University

Verified email at stanford.edu

data mining machine learning single-cell data science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A single cell transcriptomic atlas characterizes aging tissues in the mouse Tabula Muris Consortium Nature 583 (7817), 590, 2020	958	2020
A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk AC Yang, RT Vest, F Kern, DP Lee, M Agam, CA Maat, PM Losada, ... Nature 603 (7903), 885-892, 2022	595	2022
Ageing hallmarks exhibit organ-specific temporal signatures N Schaum, B Lehallier, O Hahn, R Pálovics, S Hosseinzadeh, SE Lee, ... Nature 583 (7817), 596-602, 2020	490	2020
Organ aging signatures in the plasma proteome track health and disease HSH Oh, J Rutledge, D Nachun, R Pálovics, O Abiose, P Moran-Losada, ... Nature 624 (7990), 164-172, 2023	221	2023
Young CSF restores oligodendrogenesis and memory in aged mice via Fgf17 T Iram, F Kern, A Kaur, S Myneni, AR Morningstar, H Shin, MA Garcia, ... Nature 605 (7910), 509-515, 2022	167	2022
APOE4/4 is linked to damaging lipid droplets in Alzheimer’s disease microglia MS Haney, R Pálovics, CN Munson, C Long, PK Johansson, O Yip, ... Nature 628 (8006), 154-161, 2024	151	2024
Molecular hallmarks of heterochronic parabiosis at single-cell resolution R Pálovics, A Keller, N Schaum, W Tan, T Fehlmann, M Borja, F Kern, ... Nature 603 (7900), 309-314, 2022	101	2022
Atlas of the aging mouse brain reveals white matter as vulnerable foci O Hahn, AG Foltz, M Atkins, B Kedir, P Moran-Losada, IH Guldner, ... Cell 186 (19), 4117-4133. e22, 2023	92	2023
Exploiting temporal influence in online recommendation R Pálovics, AA Benczúr, L Kocsis, T Kiss, E Frigó Proceedings of the 8th ACM Conference on Recommender systems, 273-280, 2014	76	2014
Recsys challenge 2016: Job recommendations F Abel, A Benczúr, D Kohlsdorf, M Larson, R Pálovics Proceedings of the 10th ACM Conference on Recommender Systems, 425-426, 2016	61	2016
Online Machine Learning in Big Data Streams AA Benczúr, L Kocsis, R Pálovics arXiv preprint arXiv:1802.05872, 2018	56	2018
Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 64, 2019	41	2019
Temporal influence over the Last. fm social network R Pálovics, AA Benczúr Social Network Analysis and Mining 5 (1), 4, 2015	39	2015
Temporal walk based centrality metric for graph streams F Béres, R Pálovics, A Oláh, AA Benczúr Applied network science 3, 1-26, 2018	34	2018
Location-aware online learning for top-k recommendation R Pálovics, P Szalai, J Pap, E Frigó, L Kocsis, AA Benczúr Pervasive and Mobile Computing 38, 490-504, 2017	20	2017
The murine transcriptome reveals global aging nodes with organ-specific phase and amplitude N Schaum, B Lehallier, O Hahn, S Hosseinzadeh, SE Lee, R Sit, DP Lee, ... bioRxiv, 662254, 2019	19	2019
Temporal prediction of retweet count R Pálovics, B Daróczy, AA Benczúr Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International …, 2013	17	2013
Single Cell ADNP Predictive of Human Muscle Disorders: Mouse Knockdown Results in Muscle Wasting O Kapitansky, G Karmon, S Sragovich, A Hadar, M Shahoha, I Jaljuli, ... Cells 9 (10), 2320, 2020	14	2020
APOE4/4 is linked to damaging lipid droplets in Alzheimer’s microglia MS Haney, R Palovics, CN Munson, C Long, P Johansson, O Yip, ... bioRxiv, 2023	13	2023
Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017	13	2017

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