Ivan Ermilov

540 total citations
13 papers, 96 citations indexed

About

Ivan Ermilov is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Ivan Ermilov has authored 13 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Ivan Ermilov's work include Semantic Web and Ontologies (9 papers), Data Quality and Management (4 papers) and Scientific Computing and Data Management (4 papers). Ivan Ermilov is often cited by papers focused on Semantic Web and Ontologies (9 papers), Data Quality and Management (4 papers) and Scientific Computing and Data Management (4 papers). Ivan Ermilov collaborates with scholars based in Germany, United States and Austria. Ivan Ermilov's co-authors include Axel-Cyrille Ngonga Ngomo, Muhammad Saleem, Ali Hasnain, Claus Stadler, Sören Auer, Sebastian Hellmann, Martin Brümmer, Jens Lehmann, Dimitris Kontokostas and Edgard Marx and has published in prestigious journals such as SHILAP Revista de lepidopterología, Semantic Web and ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway).

In The Last Decade

Ivan Ermilov

10 papers receiving 84 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Ermilov Germany	5	72	43	27	25	12	13	96
Mohsen Taheriyan United States	5	91 1.3×	42 1.0×	46 1.7×	27 1.1×	10 0.8×	7	113
Knud Möller Ireland	7	76 1.1×	22 0.5×	47 1.7×	20 0.8×	12 1.0×	11	93
Joshua Shinavier United States	5	66 0.9×	20 0.5×	34 1.3×	28 1.1×	15 1.3×	9	109
Laurens Rietveld Netherlands	6	65 0.9×	22 0.5×	31 1.1×	13 0.5×	20 1.7×	11	85
Avanika Narayan United States	3	66 0.9×	37 0.9×	28 1.0×	15 0.6×	6 0.5×	5	102
Ines Chami United States	3	72 1.0×	31 0.7×	19 0.7×	15 0.6×	17 1.4×	6	111
Damien Graux Germany	6	48 0.7×	30 0.7×	21 0.8×	18 0.7×	9 0.8×	18	76
Pavlos Fafalios Greece	8	117 1.6×	41 1.0×	59 2.2×	21 0.8×	22 1.8×	31	150
Edgard Marx Germany	7	216 3.0×	45 1.0×	58 2.1×	21 0.8×	19 1.6×	23	247
Francesco Corcoglioniti Italy	8	141 2.0×	23 0.5×	41 1.5×	19 0.8×	19 1.6×	28	174

Countries citing papers authored by Ivan Ermilov

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Ermilov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Ermilov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Ermilov. A scholar is included among the top collaborators of Ivan Ermilov 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 Ivan Ermilov. Ivan Ermilov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Ermilov, Ivan, et al.. (2022). Export acceleration as a promising direction of state support for Russian exports of non-primary non-energy goods. Экономика и предпринимательство. 51–54. 1 indexed citations

2.

Ermilov, Ivan, et al.. (2022). The Tale of Sansa Spark. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

3.

Saleem, Muhammad, et al.. (2018). An evaluation of SPARQL federation engines over multiple endpoints. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 1 indexed citations

4.

Jabeen, Hajira, et al.. (2017). Big Data Europe.. EDBT/ICDT Workshops. 1 indexed citations

5.

Ermilov, Ivan, et al.. (2016). LDWPO A Lightweight Ontology for Linked Data Management.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 59–70.

6.

Saleem, Muhammad, et al.. (2016). A fine-grained evaluation of SPARQL endpoint federation systems. Semantic Web. 7(5). 493–518. 46 indexed citations

7.

Mouromtsev, Dmitry, et al.. (2015). Study of current approaches for Web publishing of open scientific data. SHILAP Revista de lepidopterología. 1081–1087. 7 indexed citations

8.

Ermilov, Ivan, et al.. (2015). LODFlow. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 137–144. 5 indexed citations

9.

Ermilov, Ivan, et al.. (2015). kOre: Using Linked Data for OpenScience Information Integration.. 67–70.

10.

Ermilov, Ivan, et al.. (2015). Data licensing on the cloud. 153–156. 3 indexed citations

11.

Brümmer, Martin, et al.. (2014). DataID. 84–91. 14 indexed citations

12.

Ermilov, Ivan, Sören Auer, & Claus Stadler. (2013). User-driven semantic mapping of tabular data. 105–112. 15 indexed citations

13.

Ermilov, Ivan & Claus Stadler. (2012). Crowd-Sourcing the Large-Scale Semantic Mapping of Tabular Data. 3 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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