Thomas Heinis

2.7k citations
69 papers · 644 · 1 hit paper · h-index 14

Impact in

Papers in

Thomas Heinis

62 papers receiving 605 citations

Thomas Heinis's Hit Papers

The prospect of artificial intelligence to personalize assisted reproductive technology 2024 · 44 citations
440+1Years since publication10203040

Peers

Thomas Heinis
Comparison fields: 5 of 87
  • Information Systems and Management 147
  • Signal Processing 186
  • Computer Networks and Communications 301
  • Information Systems 261
  • Health Informatics 11
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Manasi Vartak United States
Ana Carolina Salgado Brazil
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Anastasia Dimou Belgium
Qiao Huang China
Richard Wettel Switzerland
Panos Constantopoulos Greece
Verena Kantere Greece
Riccardo Martoglia Italy
Birte Glimm Germany
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Heinis

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Heinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Heinis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Heinis Line = papers co-authored together Thomas Heinis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200890
2
The prospect of artificial intelligence to personalize assisted reproductive technology
Hit paper breakdown →
202444
3 200544
4 200638
5 201333
6 201730
7
Just-In-Time Data Virtualization: Lightweight Data Management with ViDa
201529
8 201229
9 200123
10 200523
11 200617
12 201216
13 201916
14 201014
15
JOpera: Autonomic Service Orchestration
200613
16 202213
17 201911
18 20239
19 20158
20 20198

About Thomas Heinis

Thomas Heinis is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 644 indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Advanced Database Systems and Queries (13 papers), Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (9 papers), Time Series Analysis and Forecasting (7 papers), Advanced Data Storage Technologies (7 papers), Algorithms and Data Compression (7 papers) and DNA and Biological Computing (6 papers). The work is most often cited by research in Information Systems and Management (147 citations), Signal Processing (186 citations), Computer Networks and Communications (301 citations), Information Systems (261 citations) and Health Informatics (11 citations). Thomas Heinis has collaborated with scholars based in United Kingdom, Switzerland and France. Frequent co-authors include Gustavo Alonso, Cesare Pautasso, Anastasia Ailamaki, Farhan Tauheed, Jian Pei, Felix Schürmann, Ioannis Alagiannis, Henry Markram, Panagiotis Karras and Ali Abbara. Their work appears in journals such as Proceedings of the VLDB Endowment, Future Generation Computer Systems, Fertility and Sterility, Nature Communications and Proceedings of the ACM on Human-Computer Interaction.

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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