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Obtaining statistical data

Projects / Programmes source: ARIS

Pervasive computing

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Periods
January 1, 2018 - December 31, 2027
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
P175  Natural sciences and mathematics  Informatics, systems theory 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
pervasive computing, new computing paradigms and services, integration of data, services and devices, users and precesses modelling, decision support, security and privacy, context based adaptation
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
6,963.48
A''
1,114.9
A'
2,406.29
A1/2
4,461.35
CI10
6,575
CImax
262
h10
39
A1
23.86
A3
15.49
Data for the last 5 years (citations for the last 10 years) on April 25, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender , archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  395  4,912  4,522  11.45 
Scopus  591  8,377  7,701  13.03 
Researchers (24)
no. Code Name and surname Research area Role Period No. of publications
1.  16154  PhD Marko Bajec  Computer science and informatics  Researcher  2018 - 2024  490 
2.  33188  PhD Neli Blagus  Computer science and informatics  Beginner researcher  2019 - 2020  25 
3.  04967  PhD Andrej Brodnik  Computer intensive methods and applications  Researcher  2018 - 2024  449 
4.  19515  PhD Patricio Bulić  Computer science and informatics  Researcher  2018 - 2024  209 
5.  13982  PhD Mojca Ciglarič  Computer science and informatics  Researcher  2021 - 2024  368 
6.  38175  Aleks Huč  Computer science and informatics  Researcher  2018 - 2024  7 
7.  32040  PhD David Jelenc  Computer science and informatics  Researcher  2018 - 2024  32 
8.  18337  PhD Branko Matjaž Jurič  Computer science and informatics  Researcher  2018 - 2024  709 
9.  55767  Timotej Knez  Computer science and informatics  Junior researcher  2021 - 2024  13 
10.  25526  PhD Dejan Lavbič  Computer science and informatics  Researcher  2018 - 2024  194 
11.  21404  PhD Iztok Lebar Bajec  Computer science and informatics  Researcher  2018 - 2024  192 
12.  29198  PhD Miha Moškon  Computer science and informatics  Researcher  2018 - 2024  258 
13.  13442  PhD Miha Mraz  Computer science and informatics  Researcher  2018 - 2024  366 
14.  37955  PhD Veljko Pejović  Computer science and informatics  Researcher  2018  132 
15.  56164  PhD Ratko Pilipović  Computer science and informatics  Researcher  2022 - 2024  26 
16.  15294  PhD Rok Rupnik  Computer science and informatics  Researcher  2018 - 2024  379 
17.  53629  Lidija Stanovnik  Computer science and informatics  Junior researcher  2019 - 2024  20 
18.  30918  PhD Lovro Šubelj  Computer science and informatics  Researcher  2018  119 
19.  11077  PhD Denis Trček  Computer science and informatics  Head  2018 - 2024  323 
20.  06795  PhD Mira Trebar  Computer science and informatics  Researcher  2018 - 2024  197 
21.  21393  PhD Damjan Vavpotič  Computer science and informatics  Researcher  2018 - 2021  216 
22.  36470  PhD Gregor Weiss  Computer science and informatics  Junior researcher  2018 - 2019  10 
23.  05957  PhD Nikolaj Zimic  Computer science and informatics  Researcher  2018 - 2024  326 
24.  34156  PhD Slavko Žitnik  Computer science and informatics  Researcher  2018 - 2024  123 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,242 
Abstract
Abstract of research of Pervasive computing programme ­- strategic orientation  According to definition, pervasive (ubiquitous) computing covers strongly interconnected structures of various computing devices and services, which autonomously or collaboratively collect and process data and information in order to provide users and organisations with adapted support in various environments and contexts ranging from private, public to business life ­- all this in a reliable manner and by ensuring security and privacy.  Therefore this is a multidisciplinary field that requires expertise from mathematics and logic areas (combinatorial optimization, multivalued logics), to hardware (recently mostly sensors and actuators), to communications technologies (internet, wireless communications, sensor networks), and to services providing information systems level (services oriented architectures, advanced information systems development), where user adapted modeling and user adapted interactions are needed.  Key theoretical premises that are at the core of the research program Pervasive computing, and which are internationally relevant, are new computing paradigms, new algorithms for computationally hard problems, new effective methods for communication and integration of heterogeneous devices and services, new approaches to users modeling, and adapted interactions for context focused users and organisations support.
Significance for science
Pervasive computing is a research domain that has been enabled by technological advances in integration of electronic devices, communications, data and services. As a young research domain it has a strong potential for further development, because the majority of new devices and solutions will be right those that are characteristic for pervasive computing. This will lead to changes in our daily life ranging from private to public and business domain. Taking into account the goals of the program these elements are those that are important for the development of science: the development of new computing paradigms to replace or complement traditional electronic integrated circuits (like quantum cell automata or biological computing); new algorithms for solving NP-hard (and also NP-complete) problems) required by exponentially growing amount of data; new protocols for integration of pervasive systems; new services and new architectures for their integration with existing systems; new methods for users and processes modelling for adaptive support of individuals, groups and organisations in private, public and business settings.
Significance for the country
The importance of the Pervasive computing program for the socio-­economic development of Slovenia is as follows: research and development of advanced pervasive computing solutions; quality publications in respected international journals and collaboration in international research consortia; knowledge transfer into study curriculum, education and care for young colleagues careers; active contributions to preserving and promoting Slovene culture and heritage; transfer of successful and promising solutions on the market through collaboration with the industry; establishing new hi-tech companies (spin-offs).
Most important scientific results Interim report
Most important socioeconomically and culturally relevant results Interim report
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