H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,811 99 World Ranking 7714 National Ranking 3628

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Database

His primary scientific interests are in Workflow, Workflow management system, Workflow engine, Workflow technology and XPDL. His study in Workflow is interdisciplinary in nature, drawing from both Role-based access control, Access control and Software engineering. His research integrates issues of World Wide Web and Efficient XML Interchange in his study of Workflow management system.

The various areas that he examines in his Workflow engine study include Business process management and Knowledge management. The Business process management study combines topics in areas such as Process modeling, Business process discovery, Business process modeling, Business intelligence and Data science. His XPDL study is related to the wider topic of Business process.

His most cited work include:

  • Process Mining Manifesto (684 citations)
  • Hierarchical quorum consensus: a new algorithm for managing replicated data (203 citations)
  • XML-Based Schema Definition for Support of Interorganizational Workflow (192 citations)

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

His primary areas of study are Workflow, Process, Distributed computing, Business process and Knowledge management. In his work, Data science is strongly intertwined with World Wide Web, which is a subfield of Workflow. His Process research incorporates elements of Work in process, Correctness and Artificial intelligence.

Akhil Kumar focuses mostly in the field of Distributed computing, narrowing it down to matters related to Supply chain and, in some cases, Network topology and Web service. His primary area of study in Business process is in the field of Business process modeling. His Process modeling research is multidisciplinary, relying on both Business process management, Process mining, Data mining, Representation and Structure.

He most often published in these fields:

  • Workflow (26.28%)
  • Process (18.59%)
  • Distributed computing (16.67%)

What were the highlights of his more recent work (between 2016-2020)?

  • Process (18.59%)
  • Process management (12.18%)
  • Business process (15.38%)

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

Akhil Kumar focuses on Process, Process management, Business process, Business process management and Process modeling. His biological study spans a wide range of topics, including Workflow optimization, Workflow, Correctness, Task and Artificial intelligence. His Workflow research is multidisciplinary, incorporating elements of Schedule, Real-time computing and Operations research.

His Process management study also includes

  • Graph, which have a strong connection to Business rule and Continuation,
  • Business process modeling which connect with Data science. The study incorporates disciplines such as Business logic and Goal orientation in addition to Business process. Akhil Kumar interconnects Business process reengineering, Software engineering, Blockchain and Library science in the investigation of issues within Business process management.

Between 2016 and 2020, his most popular works were:

  • Is Blockchain a Silver Bullet for Supply Chain Management? Technical Challenges and Research Opportunities (33 citations)
  • Controlled violation of temporal process constraints - Models, algorithms and results (15 citations)
  • Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization (14 citations)

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

  • Operating system
  • Artificial intelligence
  • Database

His primary areas of investigation include Business process, Process, Business process management, Theoretical computer science and Blockchain. His Business process research incorporates themes from Matching, Current and Goal orientation. Akhil Kumar combines subjects such as Correctness, Compliance, Natural language, Workflow and Operations research with his study of Process.

His Business process management research includes elements of Business logic and Library science. His Theoretical computer science study integrates concerns from other disciplines, such as Similarity, Process and Computation. His Blockchain research integrates issues from Software engineering and Data management.

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.

Top Publications

Process Mining Manifesto

Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
business process management (2012)

1028 Citations

XML-Based Schema Definition for Support of Interorganizational Workflow

W. M. P. van der Aalst;Akhil Kumar.
Information Systems Research (2003)

328 Citations

Hierarchical quorum consensus: a new algorithm for managing replicated data

A. Kumar.
IEEE Transactions on Computers (1991)

312 Citations

Research Commentary: Workflow Management Issues in e-Business

Amit Basu;Akhil Kumar.
Information Systems Research (2002)

273 Citations

Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions

Kang Zhao;A Kumar;T P Harrison;J Yen.
IEEE Systems Journal (2011)

240 Citations

A dynamic warehouse for XML Data of the Web.

Vassilis Christophides;Richard Hull;Akhil Kumar;Jérôme Siméon.
IEEE Data(base) Engineering Bulletin (2001)

227 Citations

W-RBAC — A Workflow Security Model Incorporating Controlled Overriding of Constraints

Jacques Wainer;Paulo Barthelmess;Akhil Kumar.
International Journal of Cooperative Information Systems (2003)

223 Citations

An analysis and taxonomy of unstructured workflows

Rong Liu;Akhil Kumar.
business process management (2005)

199 Citations

A reference model for team-enabled workflow management systems

W. M. P. van der Aalst;A. Kumar.
data and knowledge engineering (2001)

182 Citations

Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance

Akhil Kumar;Wil M. P. Van Der Aalst;Eric M. W. Verbeek.
Journal of Management Information Systems (2002)

175 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Akhil Kumar

Wil M. P. van der Aalst

Wil M. P. van der Aalst

RWTH Aachen University

Publications: 86

Manfred Reichert

Manfred Reichert

University of Ulm

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Arthur H. M. ter Hofstede

Arthur H. M. ter Hofstede

Queensland University of Technology

Publications: 38

Stefanie Rinderle-Ma

Stefanie Rinderle-Ma

Technical University of Munich

Publications: 37

Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

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Barbara Weber

Barbara Weber

University of St. Gallen

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Hajo A. Reijers

Hajo A. Reijers

Utrecht University

Publications: 25

Marlon Dumas

Marlon Dumas

University of Tartu

Publications: 23

Paul Grefen

Paul Grefen

Eindhoven University of Technology

Publications: 21

Mathias Weske

Mathias Weske

Hasso Plattner Institute

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Fabrizio Maria Maggi

Fabrizio Maria Maggi

Free University of Bozen-Bolzano

Publications: 17

Marco Montali

Marco Montali

Free University of Bozen-Bolzano

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Jianmin Wang

Jianmin Wang

Tsinghua University

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Avishai Wool

Avishai Wool

Tel Aviv University

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Dirk Fahland

Dirk Fahland

Eindhoven University of Technology

Publications: 14

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