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Thomas Heinis

Thomas Heinis

Imperial College London

H-index: 18

Europe-United Kingdom

Contact Thomas Heinis

About Thomas Heinis

Thomas Heinis, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Scientific Data Management, Big Data, Spatial Data, Data Analysis, Storage.

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

SWIX: A Memory-efficient Sliding Window Learned Index

Fovea Prediction Model in VR

The prospect of artificial intelligence to personalize assisted reproductive technology

Quantifying the variability in the assessment of reproductive hormone levels

In-Network Approximate and E icient Spatiotemporal Range eries on Moving Objects

Survey of information encoding techniques for dna

Optimization towards Efficiency and Stateful of dispel4py

Conditional Variational Diffusion Models

Thomas Heinis Information

University

Position

___

Citations(all)

2661

Citations(since 2020)

1464

Cited By

2082

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

27

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Thomas Heinis Skills & Research Interests

Scientific Data Management

Big Data

Spatial Data

Data Analysis

Storage

Top articles of Thomas Heinis

SWIX: A Memory-efficient Sliding Window Learned Index

Proceedings of the ACM on Management of Data

2024/3/26

Liang Liang
Liang Liang

H-Index: 16

Guang Yang
Guang Yang

H-Index: 5

Luis Alberto Croquevielle
Luis Alberto Croquevielle

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

Fovea Prediction Model in VR

2024/3/21

Daniele Giunchi
Daniele Giunchi

H-Index: 4

Nitesh Bhatia
Nitesh Bhatia

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

Anthony Steed
Anthony Steed

H-Index: 34

The prospect of artificial intelligence to personalize assisted reproductive technology

2024/3/1

Ali Abbara
Ali Abbara

H-Index: 20

Margaritis Voliotis
Margaritis Voliotis

H-Index: 12

Krasimira Tsaneva-Atanasova
Krasimira Tsaneva-Atanasova

H-Index: 25

Thomas Heinis
Thomas Heinis

H-Index: 14

Quantifying the variability in the assessment of reproductive hormone levels

Fertility and Sterility

2024/2/1

Ali Abbara
Ali Abbara

H-Index: 20

Thomas Heinis
Thomas Heinis

H-Index: 14

Krasimira Tsaneva-Atanasova
Krasimira Tsaneva-Atanasova

H-Index: 25

Margaritis Voliotis
Margaritis Voliotis

H-Index: 12

In-Network Approximate and E icient Spatiotemporal Range eries on Moving Objects

2024

Guang Yang
Guang Yang

H-Index: 5

Liang Liang
Liang Liang

H-Index: 16

Thomas Heinis
Thomas Heinis

H-Index: 14

Survey of information encoding techniques for dna

ACM Computational Surveys

2023/10/4

Thomas Heinis
Thomas Heinis

H-Index: 14

Optimization towards Efficiency and Stateful of dispel4py

2023/11/12

Liang Liang
Liang Liang

H-Index: 16

Guang Yang
Guang Yang

H-Index: 5

Thomas Heinis
Thomas Heinis

H-Index: 14

Rosa Filgueira
Rosa Filgueira

H-Index: 11

Conditional Variational Diffusion Models

2023/10/13

Gabriel Della Maggiora
Gabriel Della Maggiora

H-Index: 0

Luis Alberto Croquevielle
Luis Alberto Croquevielle

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

Artur Yakimovich
Artur Yakimovich

H-Index: 10

Optimizing oocyte yield: unveiling the ideal follicle sizes on the day of trigger using interpretable machine learning

Fertility and Sterility

2023/10/1

Ali Abbara
Ali Abbara

H-Index: 20

Artsiom Hramyka
Artsiom Hramyka

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

P-623 Using machine learning to determine follicle sizes on the day of trigger most likely to yield oocytes

Human Reproduction

2023/6/1

Tom Kelsey
Tom Kelsey

H-Index: 26

Speech-Augmented Cone-of-Vision for Exploratory Data Analysis

2023/4/19

Daniele Giunchi
Daniele Giunchi

H-Index: 4

Ludwig Sidenmark
Ludwig Sidenmark

H-Index: 5

Hans Gellersen
Hans Gellersen

H-Index: 39

Enrico Costanza
Enrico Costanza

H-Index: 18

Thomas Heinis
Thomas Heinis

H-Index: 14

COAX: Correlation-Aware Indexing

2023/4/3

Taiyi Wang
Taiyi Wang

H-Index: 9

Thomas Heinis
Thomas Heinis

H-Index: 14

Towards Migration-Free" Just-in-Case" Data Archival for Future Cloud Data Lakes Using Synthetic DNA

Proceedings of the VLDB Endowment

2023/4/1

Yiqing Yan
Yiqing Yan

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

FLIRT: A Fast Learned Index for Rolling Time frames.

2023

Guang Yang
Guang Yang

H-Index: 5

Liang Liang
Liang Liang

H-Index: 16

Thomas Heinis
Thomas Heinis

H-Index: 14

Quantitative approaches in clinical reproductive endocrinology

2022/12/1

Margaritis Voliotis
Margaritis Voliotis

H-Index: 12

Ali Abbara
Ali Abbara

H-Index: 20

Thomas Heinis
Thomas Heinis

H-Index: 14

Krasimira Tsaneva-Atanasova
Krasimira Tsaneva-Atanasova

H-Index: 25

Cone of vision as a behavioural cue for VR collaboration

Proceedings of the ACM on Human-Computer Interaction

2022/11/11

Daniele Giunchi
Daniele Giunchi

H-Index: 4

Anthony Steed
Anthony Steed

H-Index: 34

Enrico Costanza
Enrico Costanza

H-Index: 18

Thomas Heinis
Thomas Heinis

H-Index: 14

Follicle Sizes That are Most Likely to Yield Oocytes During In Vitro Fertilisation (IVF) Treatment

Endocrine Abstracts

2022/10/27

Ali Abbara
Ali Abbara

H-Index: 20

Tom Kelsey
Tom Kelsey

H-Index: 26

Thomas Heinis
Thomas Heinis

H-Index: 14

Quantifying the Variability in the Outpatient Assessment of Reproductive Hormone levels

Endocrine Abstracts

2022/10/27

Margaritis Voliotis
Margaritis Voliotis

H-Index: 12

Krasimira Tsaneva-Atanasova
Krasimira Tsaneva-Atanasova

H-Index: 25

Thomas Heinis
Thomas Heinis

H-Index: 14

Ali Abbara
Ali Abbara

H-Index: 20

Digital Preservation with Synthetic DNA

2022

Yiqing Yan
Yiqing Yan

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

Oligoarchive-dsm: Columnar design for error-tolerant database archival using synthetic dna

bioRxiv

2022

Yiqing Yan
Yiqing Yan

H-Index: 1

Thomas Heinis
Thomas Heinis

H-Index: 14

See List of Professors in Thomas Heinis University(Imperial College London)