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Business Process Management

Overview of attention for book
Cover of 'Business Process Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Improving Business Processes: Does Anybody have an Idea?
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    Chapter 2 Inspection Coming Due! How to Determine the Service Interval of Your Processes!
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    Chapter 3 Data-Driven Performance Analysis of Scheduled Processes
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    Chapter 4 Specification and Verification of Complex Business Processes - A High-Level Petri Net-Based Approach
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    Chapter 5 Concurrency and Asynchrony in Declarative Workflows
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    Chapter 6 Detecting Inconsistencies Between Process Models and Textual Descriptions
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    Chapter 7 Mining Invisible Tasks in Non-free-choice Constructs
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    Chapter 8 Incorporating Negative Information in Process Discovery
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    Chapter 9 Ensuring Model Consistency in Declarative Process Discovery
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    Chapter 10 Avoiding Over-Fitting in ILP-Based Process Discovery
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    Chapter 11 Estimation of Average Latent Waiting and Service Times of Activities from Event Logs
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    Chapter 12 A Structural Model Comparison for Finding the Best Performing Models in a Collection
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    Chapter 13 Context-Sensitive Textual Recommendations for Incomplete Process Model Elements
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    Chapter 14 Extracting Configuration Guidance Models from Business Process Repositories
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    Chapter 15 Web-Based Modelling and Collaborative Simulation of Declarative Processes
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    Chapter 16 Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution
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    Chapter 17 A Clinical Pathway Mining Approach to Enable Scheduling of Hospital Relocations and Treatment Services
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    Chapter 18 A Framework for Benchmarking BPMN 2.0 Workflow Management Systems
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    Chapter 19 Visually Monitoring Multiple Perspectives of Business Process Compliance
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    Chapter 20 Managing Controlled Violation of Temporal Process Constraints
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    Chapter 21 Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
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    Chapter 22 Business Process Management Skills and Roles: An Investigation of the Demand and Supply Side of BPM Professionals
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    Chapter 23 BPMN Task Instance Streaming for Efficient Micro-task Crowdsourcing Processes
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    Chapter 24 Goal-Aligned Categorization of Instance Variants in Knowledge-Intensive Processes
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    Chapter 25 Process Mining on Databases: Unearthing Historical Data from Redo Logs
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    Chapter 26 Business Process Management
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    Chapter 27 Business Process Management
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    Chapter 28 Mining Project-Oriented Business Processes
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    Chapter 29 Efficient Process Model Discovery Using Maximal Pattern Mining
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    Chapter 30 Log-Based Simplification of Process Models
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
23 X users
patent
1 patent

Citations

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12 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Business Process Management
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-23063-4
ISBNs
978-3-31-923062-7, 978-3-31-923063-4
Authors

Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich

Editors

Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Unspecified 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Unspecified 1 17%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2024.
All research outputs
#1,751,699
of 25,605,018 outputs
Outputs from Lecture notes in computer science
#274
of 8,165 outputs
Outputs of similar age
#23,094
of 360,755 outputs
Outputs of similar age from Lecture notes in computer science
#18
of 257 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,165 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.