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Institution

University of Haifa

EducationHaifa, Israel
About: University of Haifa is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 7558 authors who have published 27141 publications receiving 711629 citations. The organization is also known as: Haifa University & Universiṭat Ḥefah.


Papers
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Journal ArticleDOI
TL;DR: This article conducted a meta-analysis of all the studies reported in them and found that the overall mean weighted effect size was 0.53 (medium effect), which is quite similar to the average effect size of traditional, face-to-face therapy.
Abstract: Internet-based psychotherapeutic interventions have been used for more than a decade, but no comprehensive review and no extensive meta-analysis of their effectiveness have been conducted. We have collected all of the empirical articles published up to March 2006 (n = 64) that examine the effectiveness of online therapy of different forms and performed a meta-analysis of all the studies reported in them (n = 92). These studies involved a total of 9,764 clients who were treated through various Internet-based psychological interventions for a variety of problems, whose effectiveness was assessed by different types of measures. The overall mean weighted effect size was found to be 0.53 (medium effect), which is quite similar to the average effect size of traditional, face-to-face therapy. Next, we examined interacting effects of various possible relevant moderators of the effects of online therapy, including type of therapy (self-help web-based therapy versus online communication-based etherapy), ty...

1,142 citations

Book
01 Jan 1972

1,135 citations

Book ChapterDOI
Wil M. P. van der Aalst1, Wil M. P. van der Aalst2, A Arya Adriansyah1, Ana Karla Alves de Medeiros3, Franco Arcieri4, Thomas Baier5, Tobias Blickle6, Jagadeesh Chandra Bose1, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs1, Andrea Burattin7, Josep Carmona8, Malu Castellanos9, Jan Claes10, Jonathan Cook11, Nicola Costantini, Francisco Curbera12, Ernesto Damiani13, Massimiliano de Leoni1, Pavlos Delias, Boudewijn F. van Dongen1, Marlon Dumas14, Schahram Dustdar15, Dirk Fahland1, Diogo R. Ferreira16, Walid Gaaloul17, Frank van Geffen18, Sukriti Goel19, CW Christian Günther, Antonella Guzzo20, Paul Harmon, Arthur H. M. ter Hofstede2, Arthur H. M. ter Hofstede1, John Hoogland, Jon Espen Ingvaldsen, Koki Kato21, Rudolf Kuhn, Akhil Kumar22, Marcello La Rosa2, Fabrizio Maria Maggi1, Donato Malerba23, RS Ronny Mans1, Alberto Manuel, Martin McCreesh, Paola Mello24, Jan Mendling25, Marco Montali26, Hamid Reza Motahari-Nezhad9, Michael zur Muehlen27, Jorge Munoz-Gama8, Luigi Pontieri28, Joel Ribeiro1, A Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda29, Jim Sinur, Pnina Soffer30, Minseok Song31, Alessandro Sperduti7, Giovanni Stilo4, Casper Stoel, Keith D. Swenson21, Maurizio Talamo4, Wei Tan12, Christopher Turner32, Jan Vanthienen33, George Varvaressos, Eric Verbeek1, Marc Verdonk34, Roberto Vigo, Jianmin Wang35, Barbara Weber36, Matthias Weidlich37, Ton Weijters1, Lijie Wen35, Michael Westergaard1, Moe Thandar Wynn2 
01 Jan 2012
TL;DR: This manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users to increase the maturity of process mining as a new tool to improve the design, control, and support of operational business processes.
Abstract: Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.

1,135 citations

Journal ArticleDOI
TL;DR: It is proposed that the term 'stress' should be restricted to conditions where an environmental demand exceeds the natural regulatory capacity of an organism, in particular situations that include unpredictability and uncontrollability.

1,126 citations


Authors

Showing all 7747 results

NameH-indexPapersCitations
Markku Laakso162945142292
M.-Marsel Mesulam15055890772
Michael Levin11198645667
Peter Schmidt10563861822
Eviatar Nevo9584840066
Uri Alon9144254822
Dan Roth8552328166
Simon G. Potts8224931557
Russell G. Foster7931823206
Leo Radom7960434075
Stevan E. Hobfoll7427135870
Larry Davidson6945920177
Alan R. Templeton6724928320
Uri Gneezy6521129671
Benny Pinkas6415621122
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202394
2022304
20211,979
20201,822
20191,579
20181,505