Eva Klien

739 total citations
11 papers, 395 citations indexed

About

Eva Klien is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Eva Klien has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Geography, Planning and Development and 6 papers in Signal Processing. Recurrent topics in Eva Klien's work include Semantic Web and Ontologies (9 papers), Geographic Information Systems Studies (7 papers) and Data Management and Algorithms (6 papers). Eva Klien is often cited by papers focused on Semantic Web and Ontologies (9 papers), Geographic Information Systems Studies (7 papers) and Data Management and Algorithms (6 papers). Eva Klien collaborates with scholars based in Germany, Austria and Greece. Eva Klien's co-authors include Michael Lutz, W. Kühn, Sebastian Hübner, Jörg Hoffmann, Mihai Datcu, Charalampos Kontoes, Stefan Manegold, Manolis Koubarakis and Karel Charvát and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Geosciences and Proceedings of the VLDB Endowment.

In The Last Decade

Eva Klien

11 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Klien Germany 8 296 251 206 131 37 11 395
Glen Hart United Kingdom 11 234 0.8× 259 1.0× 183 0.9× 74 0.6× 35 0.9× 23 433
Dave Kolas United States 5 233 0.8× 111 0.4× 139 0.7× 81 0.6× 77 2.1× 9 340
Yaser Bishr Germany 5 263 0.9× 291 1.2× 237 1.2× 91 0.7× 51 1.4× 7 439
Javier Lacasta Spain 10 166 0.6× 113 0.5× 88 0.4× 80 0.6× 30 0.8× 44 335
Kostis Kyzirakos Greece 9 162 0.5× 102 0.4× 114 0.6× 46 0.4× 60 1.6× 27 264
Karla A. V. Borges Brazil 11 168 0.6× 243 1.0× 222 1.1× 121 0.9× 67 1.8× 15 379
Pedro R. Muro‐Medrano Spain 10 124 0.4× 152 0.6× 108 0.5× 83 0.6× 54 1.5× 40 315
Margarita Kokla Greece 11 196 0.7× 203 0.8× 165 0.8× 36 0.3× 23 0.6× 29 362
Theodor Foerster Germany 14 105 0.4× 205 0.8× 161 0.8× 110 0.8× 120 3.2× 25 404
Wenli Yang United States 9 150 0.5× 115 0.5× 119 0.6× 147 1.1× 92 2.5× 21 327

Countries citing papers authored by Eva Klien

Since Specialization
Citations

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

Fields of papers citing papers by Eva Klien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Klien

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Klien. A scholar is included among the top collaborators of Eva Klien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Klien. Eva Klien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Klien, Eva, et al.. (2023). A Scalable AI Training Platform for Remote Sensing Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4. 1–6. 1 indexed citations
2.
Klien, Eva, et al.. (2013). PLAN4BUSINESS – A SERVICE PLATFORM FOR AGGREGATION, PROCESSING AND ANALYSIS OF URBAN AND REGIONAL PLANNING DATA. SHILAP Revista de lepidopterología. XL-4/W1. 41–44. 2 indexed citations
3.
Koubarakis, Manolis, et al.. (2012). TELEIOS. Proceedings of the VLDB Endowment. 5(12). 2010–2013. 12 indexed citations
4.
Klien, Eva, et al.. (2010). Efficient Conceptual Schema Translation for Geographic Vector Data Sets. 1 indexed citations
5.
Hoffmann, Jörg, et al.. (2009). Functional description of geoprocessing services as conjunctive datalog queries. GeoInformatica. 15(1). 191–221. 18 indexed citations
6.
Klien, Eva, et al.. (2008). Semantic Execution Meets Geospatial Web Services: A Pilot Application. Transactions in GIS. 12(s1). 59–73. 7 indexed citations
7.
Lutz, Michael, et al.. (2008). Overcoming semantic heterogeneity in spatial data infrastructures. Computers & Geosciences. 35(4). 739–752. 57 indexed citations
8.
Klien, Eva. (2007). A Rule‐Based Strategy for the Semantic Annotation of Geodata. Transactions in GIS. 11(3). 437–452. 38 indexed citations
9.
Lutz, Michael & Eva Klien. (2006). Ontology‐based retrieval of geographic information. International Journal of Geographical Information Systems. 20(3). 233–260. 122 indexed citations
10.
Klien, Eva, Michael Lutz, & W. Kühn. (2005). Ontology-based discovery of geographic information services—An application in disaster management. Computers Environment and Urban Systems. 30(1). 102–123. 108 indexed citations
11.
Lutz, Michael, et al.. (2004). An Architecture for Ontology-Based Discovery and Retrieval of Geographic Information. GI Jahrestagung (2). 574–578. 29 indexed citations

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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