2026 Berthold Reinwald: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12633	12265	5115	4883	101	4952

Berthold Reinwald publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Berthold Reinwald sits on this spectrum.

32 publications 991+

This scientist: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Berthold Reinwald D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Berthold Reinwald sits on this spectrum.

30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Berthold Reinwald is affiliated with IBM in the United States and has contributed to the fields of Computer Science and Decision Sciences through a variety of research publications. Their work covers multiple subfields, including Artificial Intelligence, Management Science and Operations Research, Molecular Biology, Statistical and Nonlinear Physics, and Computer Networks and Communications.

Their research focuses prominently on topics such as Advanced Graph Neural Networks, Topic Modeling, Data Quality and Management, Machine Learning in Healthcare, Complex Network Analysis Techniques, Semantic Web and Ontologies, and Biomedical Text Mining and Ontologies.

Frequent publication venues for Reinwald include:

arXiv (Cornell University)
Movebank
Proceedings of the AAAI Conference on Artificial Intelligence
The VLDB Journal

Reinwald has collaborated repeatedly with several co-authors, including Nasrullah Sheikh, Xiao Qin, Lingfei Wu, Chuan Lei, and Qin Xiao, reflecting a pattern of joint research activity within the computer science and artificial intelligence communities.

Recent papers authored or co-authored by Berthold Reinwald include:

Relation-aware Graph Attention Model with Adaptive Self-adversarial Training, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention, 2021, arXiv (Cornell University)
Adaptive Multi-Model Reinforcement Learning for Online Database Tuning, 2021, Movebank
A Neural Architecture for Person Ontology population, 2020, arXiv (Cornell University)
Forecasting in multivariate irregularly sampled time series with missing values, 2020, arXiv (Cornell University)

Best Publications

Efficiently Publishing Relational Data as XML Documents

Jayavel Shanmugasundaram;Eugene J. Shekita;Rimon Barr;Michael J. Carey

499
Citations
SystemML: Declarative machine learning on MapReduce

Amol Ghoting;Rajasekar Krishnamurthy;Edwin Pednault;Berthold Reinwald

443
Citations
System and method for adaptive database caching

Mehmet Altinel;Christof Bomhoevd;Chandrasekaran Mohan;Mir Hamid Pirahesh

304
Citations
Clash of the titans: MapReduce vs. Spark for large scale data analytics

Juwei Shi;Yunjie Qiu;Umar Farooq Minhas;Limei Jiao

300
Citations
On synopses for distinct-value estimation under multiset operations

Kevin Beyer;Peter J. Haas;Berthold Reinwald;Yannis Sismanis

218
Citations
SystemML: declarative machine learning on spark

Matthias Boehm;Michael W. Dusenberry;Deron Eriksson;Alexandre V. Evfimievski

214
Citations
System, method, and apparatus for multidimensional exploration of content items in a content store

Akanksha Baid;Berthold Reinwald;Alkis Simitsis;John Sismanis

196
Citations
Cache tables: paving the way for an adaptive database cache

Mehmet Altinel;Christof Bornhövd;Sailesh Krishnamurthy;C. Mohan

194
Citations
GORDIAN: efficient and scalable discovery of composite keys

Yannis Sismanis;Paul Brown;Peter J. Haas;Berthold Reinwald

147
Citations
Platform-independent method and system for graphically presenting the evaluation of a query in a database management system

Tanya Couch;Stefan Bengt Edlund;George Lapis;Guy Maring Lohman

114
Citations
Hybrid parallelization strategies for large-scale machine learning in SystemML

Matthias Boehm;Shirish Tatikonda;Berthold Reinwald;Prithviraj Sen

111
Citations
Systeme und Verfahren zur Verarbeitung von maschinellen Lernalgorithmen in einer Mapreduce-Umgebung

Berthold Reinwald;Shivakumar Vaithyanathan;Vikas Sindhwani;Shirish Tatikonda

105
Citations
Compressed linear algebra for large-scale machine learning

Ahmed Elgohary;Matthias Boehm;Peter J. Haas;Frederick R. Reiss

102
Citations
Adaptive Database Caching with DBCache.

Christof Bornhövd;Mehmet Altinel;C. Mohan;Hamid Pirahesh

101
Citations
Implementing a scalable XML publish/subscribe system using relational database systems

Feng Tian;Berthold Reinwald;Hamid Pirahesh;Tobias Mayr

100
Citations
Towards keyword-driven analytical processing

Ping Wu;Yannis Sismanis;Berthold Reinwald

100
Citations
XML programming with SQL/XML and XQuery

J. E. Funderburk;S. Malaika;B. Reinwald

87
Citations
Automatic generation of database invocation mechanism for external web services

Larry Brown;James C. Kleewein;Rong Qu;Berthold Reinwald

83
Citations
Graph search system and method for querying loosely integrated data

Andrey Balmin;Heasoo Hwang;Mir Hamid Pirahesh;Berthold Reinwald

82
Citations
Invocation of web services from a database

Larry Brown;James C. Kleewein;Berthold Reinwald;Peter M. Schwarz

73
Citations

Frequent Co-Authors

Peter J. Haas University of Massachusetts Amherst

Hamid Pirahesh IBM (United States)

Shivakumar Vaithyanathan IBM (United States)

Chandrasekaran Mohan IBM (United States)

Vikas Sindhwani Google (United States)

Xiao Qin Auburn University

Michael J. Carey University of California, Irvine

Alkis Simitsis Micro Focus (United States)

Rainer Gemulla University of Mannheim

Mir Hamid Pirahesh IBM (United States)

External Links

Personal website of Berthold Reinwald Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens the door to many specialized online degrees and diverse career pathways. Today’s job market values candidates who can combine core computing knowledge with expertise in related industries.

For example, cybersecurity is a critical area for nearly every business. Explore cyber security schools online to find accredited programs that teach essential digital defense skills.

If your interests lean toward managing complex projects, a construction management masters degree online combines technical and management training for roles in growing construction sectors.

For those drawn to protecting communities or analyzing crime trends, the best online criminal justice degree programs offer flexibility to start or advance careers in law enforcement and beyond.

Finally, technology intersects with finance in rewarding fields. Taking online accounting classes can prepare you for jobs analyzing and managing financial data across all industries.

These online study options let you develop in-demand skills while tailoring your pathway—making them a smart complement or next step after a Computer Science education.