Anusuriya Devaraju

584 citations
36 papers · 364 · h-index 12

Impact in

Papers in

Anusuriya Devaraju

34 papers receiving 338 citations

Peers

Anusuriya Devaraju
Comparison fields: 5 of 93
  • Information Systems and Management 110
  • Information Systems 160
  • Geography, Planning and Development 32
  • Management Science and Operations Research 70
  • Transportation 21
Replace Daniel Nüst with:
Daniel Nüst Germany
Alfonso Quarati Italy
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Barbara Hofer Austria
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Citations per field
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Citations per year

Countries citing papers authored by Anusuriya Devaraju

Since Specialization
Citations

This map shows the geographic impact of Anusuriya Devaraju'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 Anusuriya Devaraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anusuriya Devaraju more than expected).

Fields of papers citing papers by Anusuriya Devaraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anusuriya Devaraju. 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 Anusuriya Devaraju. The network helps show where Anusuriya Devaraju may publish in the future.

Co-authors

The 25 scholars most cited alongside Anusuriya Devaraju, 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 Anusuriya Devaraju Line = papers co-authored together Anusuriya Devaraju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 201831
3 201431
4 202129
5 202128
6 202025
7 200720
8 202017
9 201815
10 201114
11 200813
12 201213
13 201511
14 202110
15
MyLexic : An Assistive Multimedia Courseware for Teaching and Reinforcing Basic Reading Skills among Dyslexics
20079
16 20108
17 20168
18 20215
19
Representing and Reasoning about Geographic Occurrences in the Sensor Web
20125
20 20204

About Anusuriya Devaraju

Anusuriya Devaraju is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Management Science and Operations Research and Geography, Planning and Development, having authored 36 papers that have together received 364 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (11 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (6 papers), Geographic Information Systems Studies (5 papers), Environmental Monitoring and Data Management (4 papers), Data Management and Algorithms (3 papers) and Educational Methods and Technology (3 papers). The work is most often cited by research in Information Systems and Management (110 citations), Information Systems (160 citations), Geography, Planning and Development (32 citations), Management Science and Operations Research (70 citations) and Transportation (21 citations). Anusuriya Devaraju has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Robert Huber, W. Kühn, Chris S. Renschler, Tomi Kauppinen, Michael I. Hartley, Jens Klump, Ben Evans, Markus Stocker, Amir Aryani and Marta Poblet. Their work appears in journals such as Data Science Journal, Scientific Data, ISPRS International Journal of Geo-Information, Computers & Geosciences and Patterns.

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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