D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 83 Citations 77,186 195 World Ranking 369 National Ranking 222

Research.com Recognitions

Awards & Achievements

2017 - ACM Fellow For contributions to high-performance computing, distributed systems, and scientific data management


What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Artificial intelligence

Carl Kesselman mostly deals with Distributed computing, Grid computing, World Wide Web, Grid Security Infrastructure and Service. His study on Metacomputing is often connected to Replica as part of broader study in Distributed computing. His Grid computing research incorporates themes from The Internet, Semantic grid and Data science.

His Data science research integrates issues from Storage Resource Broker and Interoperability. The various areas that Carl Kesselman examines in his Open Grid Services Architecture study include Web service, Instrumentation and Commodity computing. The study incorporates disciplines such as Grid application and Utility computing in addition to DRMAA.

His most cited work include:

  • The Grid 2: Blueprint for a New Computing Infrastructure (7258 citations)
  • The Anatomy of the Grid: Enabling Scalable Virtual Organizations (6490 citations)
  • The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration (3083 citations)

What are the main themes of his work throughout his whole career to date?

Carl Kesselman mainly focuses on Distributed computing, Grid computing, Data science, World Wide Web and Workflow. The Distributed computing study which covers Data grid that intersects with GridFTP. His Grid computing study deals with Semantic grid intersecting with Shared resource.

His work carried out in the field of Data science brings together such families of science as Terabyte, Data management, Interoperability and Big data. His work in World Wide Web addresses issues such as Service, which are connected to fields such as Context. His biological study spans a wide range of topics, including Executable and Computer graphics.

He most often published in these fields:

  • Distributed computing (22.26%)
  • Grid computing (23.67%)
  • Data science (20.49%)

What were the highlights of his more recent work (between 2012-2021)?

  • Data science (20.49%)
  • Big data (3.53%)
  • Metadata (6.36%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Data science, Big data, Metadata, Data management and World Wide Web. Carl Kesselman combines subjects such as Grid computing, Data-driven and Translational medicine with his study of Data science. His study in Big data is interdisciplinary in nature, drawing from both Resource, Software, Analytics and Interoperability.

His studies in Metadata integrate themes in fields like Cell culture, Service, Relational database, Relational database management system and Workflow. He has researched Service in several fields, including Entity–relationship model and Metadata management. His World Wide Web research is multidisciplinary, relying on both Context and Data warehouse.

Between 2012 and 2021, his most popular works were:

  • A physical sciences network characterization of non-tumorigenic and metastatic cells (115 citations)
  • Conserved and Divergent Features of Human and Mouse Kidney Organogenesis (93 citations)
  • Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations (63 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Artificial intelligence
  • The Internet

His main research concerns Data science, Big data, Metadata, Cell culture and Cell biology. Carl Kesselman interconnects Disparate system, Resource and Workflow in the investigation of issues within Data science. His Resource study which covers Faceted search that intersects with Bioinformatics.

While the research belongs to areas of Big data, he spends his time largely on the problem of Data management, intersecting his research to questions surrounding Terabyte, Usability, Interoperability, Cloud computing and Machine learning. The subject of his Metadata research is within the realm of World Wide Web. His Cell culture research incorporates elements of Kidney and Neuroscience.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Grid 2: Blueprint for a New Computing Infrastructure

Ian Foster;Carl Kesselman.
gbnc (1998)

13053 Citations

The Anatomy of the Grid: Enabling Scalable Virtual Organizations

Ian Foster;Carl Kesselman;Steven Tuecke.
ieee international conference on high performance computing data and analytics (2001)

12277 Citations

The Physiology of the Grid

Ian Foster;Ian Foster;Carl Kesselman;Jeffrey M. Nick;Steven Tuecke.

5139 Citations

Globus: a Metacomputing Infrastructure Toolkit

Ian Foster;Carl Kesselman.
ieee international conference on high performance computing data and analytics (1997)

5136 Citations

The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration

Ian Foster;Carl Kesselman;Jeffrey M. Nick;Steven Tuecke.

5012 Citations

Grid information services for distributed resource sharing

K. Czajkowski;S. Fitzgerald;I. Foster;C. Kesselman.
high performance distributed computing (2001)

2379 Citations

Grid services for distributed system integration

I. Foster;C. Kesselman;J.M. Nick;S. Tuecke.
IEEE Computer (2002)

2148 Citations

A security architecture for computational grids

Ian Foster;Carl Kesselman;Gene Tsudik;Steven Tuecke.
computer and communications security (1998)

2019 Citations

The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets

Ann Chervenak;Ian Foster;Carl Kesselman;Charles Salisbury.
Journal of Network and Computer Applications (2000)

1693 Citations

Pegasus: A framework for mapping complex scientific workflows onto distributed systems

Ewa Deelman;Gurmeet Singh;Mei-Hui Su;James Blythe.
Scientific Programming (2005)

1530 Citations

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Best Scientists Citing Carl Kesselman

Ian Foster

Ian Foster

University of Chicago

Publications: 284

Rajkumar Buyya

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University of Melbourne

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Ewa Deelman

Ewa Deelman

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Geoffrey C. Fox

Geoffrey C. Fox

Indiana University

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Hai Jin

Hai Jin

Huazhong University of Science and Technology

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Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

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Omer F. Rana

Omer F. Rana

Cardiff University

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Domenico Talia

Domenico Talia

University of Calabria

Publications: 88

David Abramson

David Abramson

University of Queensland

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Thomas Fahringer

Thomas Fahringer

University of Innsbruck

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Dennis Gannon

Dennis Gannon

Indiana University

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Minglu Li

Minglu Li

Zhejiang Normal University

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Manish Parashar

Manish Parashar

University of Utah

Publications: 74

Miron Livny

Miron Livny

University of Wisconsin–Madison

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Péter Kacsuk

Péter Kacsuk

MTA SZTAKI Laboratory of Parallel and Distributed Systems

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Carole Goble

Carole Goble

University of Manchester

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