Elgar Pichler

13 total papers · 1.2k total citations
5 papers, 188 citations indexed

About

Elgar Pichler is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Elgar Pichler has authored 5 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Elgar Pichler's work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (2 papers). Elgar Pichler is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (2 papers). Elgar Pichler collaborates with scholars based in United States, Austria and Ireland. Elgar Pichler's co-authors include Matthias Samwald, Michael S. Marshall, Eric Prud’hommeaux, Susie Stephens, Janos Hajagos, Egon Willighagen, Christopher M. L. S. Bouton, Oktie Hassanzadeh, Anja Jentzsch and Helena Deus and has published in prestigious journals such as Journal of Cheminformatics, Pharmacogenomics and Journal of Web Semantics.

In The Last Decade

Elgar Pichler

5 papers receiving 174 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elgar Pichler	132	106	43	31	23	5	188
Sébastien Géhant	205 1.6×	57 0.5×	34 0.8×	21 0.7×	30 1.3×	7	261
Andy Jenkinson	195 1.5×	59 0.6×	29 0.7×	25 0.8×	38 1.7×	8	243
Antonis Loizou	65 0.5×	83 0.8×	28 0.7×	55 1.8×	29 1.3×	13	166
Dazhi Jiao	165 1.3×	78 0.7×	78 1.8×	15 0.5×	26 1.1×	7	207
Jennifer Vendetti	128 1.0×	142 1.3×	14 0.3×	56 1.8×	20 0.9×	8	239
Saminda Abeyruwan	141 1.1×	38 0.4×	108 2.5×	13 0.4×	15 0.7×	10	221
J E Rogers	203 1.5×	184 1.7×	11 0.3×	23 0.7×	18 0.8×	11	280
Fatima Zohra Smaili	127 1.0×	85 0.8×	21 0.5×	14 0.5×	5 0.2×	4	188
O Bodenreider	202 1.5×	182 1.7×	7 0.2×	24 0.8×	12 0.5×	8	262
René Rahn	145 1.1×	67 0.6×	33 0.8×	12 0.4×	17 0.7×	6	233

Countries citing papers authored by Elgar Pichler

Since Specialization

Citations

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

Fields of papers citing papers by Elgar Pichler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elgar Pichler

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

All Works

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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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