Pouria Amirian

1.1k citations
25 papers · 652 indexed · h-index 10

Pouria Amirian

25 papers receiving 606 citations

Peers

Pouria Amirian
Comparison fields: 5 of 70
  • Geography, Planning and Development 89
  • Transportation 86
  • Signal Processing 134
  • Industrial and Manufacturing Engineering 79
  • Building and Construction 105
Replace Huan Li with:
Huan Li China
Dragan Stojanović Serbia
Meng Chen China
Christian Vetter Switzerland
Yasir Mehmood Germany
Sébastien Faye Luxembourg
Zipei Fan Japan
Julien Eberle Switzerland
Christophe Cruz France
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Citations per year

Countries citing papers authored by Pouria Amirian

Since Specialization
Citations

This map shows the geographic impact of Pouria Amirian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pouria Amirian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pouria Amirian more than expected).

Fields of papers citing papers by Pouria Amirian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pouria Amirian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pouria Amirian. The network helps show where Pouria Amirian may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pouria Amirian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pouria Amirian Line = papers co-authored together Pouria Amirian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20171
2 2017214
3 201719
4 201616
5 201657
6 201522
7
Intersection of geospatial big data, geocomputation and cloud computing
20151
8 201423
9
Landmark-based pedestrian navigation
20134
10
NoSQL storage and management of geospatial data with emphasis onserving geospatial data using standard geospatial web services
20131
11
Beginning ArcGIS for Desktop Development using .NET
20133
12 20123
13 20123
14 201016
15 20102
16
A Service Oriented Framework for Disseminating Geospatial Data to Mobile, Desktop and Web Clients
20088
17 20088
18
Analyzing the Status of Hazardous Waste in Fars Province of Iran
20082
19
Implementation of a Geospatial Web service Using Web Services Technologies and Native XML Databases
20083
20
INVESTIGATION OF INDUSTRIAL HAZARDOUS WASTE: A CASE STUDY OF FARS PROVINCE
20071

About Pouria Amirian

Pouria Amirian is a scholar working on Geography, Planning and Development, Signal Processing and Health Information Management, having authored 25 papers that have together received 652 indexed citations. Recurring topics across this work include Data Management and Algorithms (14 papers), Geographic Information Systems Studies (11 papers), Advanced Computational Techniques and Applications (5 papers), Advanced Database Systems and Queries (4 papers), Service-Oriented Architecture and Web Services (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Spatial Cognition and Navigation (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Geography, Planning and Development (89 citations), Transportation (86 citations) and Signal Processing (134 citations). Pouria Amirian has collaborated with scholars based in Ireland, United Kingdom and Iran. Frequent co-authors include Anahid Basiri, Adam C. Winstanley, Terry Moore, Theodoros Anagnostopoulos, Arkady Zaslavsky, Jeremy Morley, Alexey Medvedev, Kostas Kolomvatsos, Ali Asghar Alesheikh and Pekka Peltola.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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