Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing
2016518 citationsHansi Weißensteiner, Dominic Pacher et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Günther Specht
Since
Specialization
Citations
This map shows the geographic impact of Günther Specht'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 Günther Specht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günther Specht more than expected).
This network shows the impact of papers produced by Günther Specht. 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 Günther Specht. The network helps show where Günther Specht may publish in the future.
Co-authorship network of co-authors of Günther Specht
This figure shows the co-authorship network connecting the top 25 collaborators of Günther Specht.
A scholar is included among the top collaborators of Günther Specht 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 Günther Specht. Günther Specht is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zangerle, Eva, Michael Tschuggnall, Günther Specht, Benno Stein, & Martin Potthast. (2019). Overview of the Style Change Detection Task at PAN 2019.. CLEF (Working Notes). 1760–1771.5 indexed citations
3.
Zangerle, Eva, et al.. (2019). Language Models for Next-Track Music Recommendation.. 15–19.1 indexed citations
4.
Kestemont, Mike, Michael Tschuggnall, Efstathios Stamatatos, et al.. (2018). Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection.. CLEF (Working Notes).36 indexed citations
5.
Tschuggnall, Michael, et al.. (2018). Dynamic Parameter Search for Cross-Domain Authorship Attribution: Notebook for PAN at CLEF 2018.. CLEF (Working Notes).1 indexed citations
6.
Tschuggnall, Michael, Efstathios Stamatatos, Ben Verhoeven, et al.. (2017). Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering.. CLEF (Working Notes).14 indexed citations
7.
Tschuggnall, Michael, et al.. (2017). Hierarchical Multilabel Classification and Voting for Genre Classification.. MediaEval.1 indexed citations
8.
Specht, Günther, et al.. (2016). osmpg2java - Konvertierung von OSM-Datenbankelementen zu JTS-Objekten.. 2. 179–184.
Pichl, Martin, Eva Zangerle, & Günther Specht. (2014). Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation. 35–40.10 indexed citations
11.
Tschuggnall, Michael & Günther Specht. (2014). Automatic Decomposition of Multi-Author Documents Using Grammar Analysis.. 17–22.2 indexed citations
12.
Tschuggnall, Michael & Günther Specht. (2014). What Grammar Tells About Gender and Age of Authors. 30–35.
13.
Tschuggnall, Michael & Günther Specht. (2013). Detecting plagiarism in text documents through grammar-analysis of authors. BTW. 241–259.6 indexed citations
Binna, Robert, W. Gässler, Eva Zangerle, Dominic Pacher, & Günther Specht. (2011). SpiderStore: A Native Main Memory Approach for Graph Storage. 91–96.6 indexed citations
16.
Mutschler, Bela & Günther Specht. (2006). Mobile Datenbanksysteme: Architektur, Implementierung, Konzepte (Xpert.press). Springer eBooks.1 indexed citations
17.
Specht, Günther, et al.. (2004). Verarbeitung von Ontologien in mobilen Umgebungen. GI Jahrestagung (1). 303–307.1 indexed citations
18.
Liebig, Thorsten, et al.. (2003). Storing and querying ontologies in logic databases. International Semantic Web Conference. 313–332.8 indexed citations
19.
Freitag, Burkhard, et al.. (1991). LOLA - A Logic Language for Deductive Databases and its Implementation. OpenGrey (Institut de l'Information Scientifique et Technique). 216–225.16 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.