Dominic Pacher

1.7k citations
6 papers · 990 indexed · 1 hit paper · h-index 6

Dominic Pacher

6 papers receiving 987 citations

Hit Papers

HaploGrep 2: mitochondrial haplogroup classification in t...5182016202620192022100200300400500

Peers

Dominic Pacher
Comparison fields: 5 of 95
  • Archeology 302
  • Genetics 678
  • Paleontology 137
  • Clinical Biochemistry 101
  • Molecular Biology 429
Replace Seyed H. Hosseini with:
Seyed H. Hosseini United States
José M Larruga Spain
Raphael Sung United States
Toni M. Diegoli United States
Natalia Volodko Russia
Matthew C. Dulik United States
Cristina Albarrán Spain
Ivane Nasidze Germany
K Omoto Japan
Bao Do United States
Dominic Pacher relative to Seyed H. Hosseini United States Seyed H. Hosseini's profile →
Citations per field
00.5×10×13×
Seyed H. Hosseini · 1×
Citations per year

Countries citing papers authored by Dominic Pacher

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Pacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

6 of 6 papers shown
#Work
1
HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencingbreakdown →
2016518
2 201535
3 201446
4
SpiderStore: A Native Main Memory Approach for Graph Storage
20116
5 2010376
6
SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying
20109

About Dominic Pacher

Dominic Pacher is a scholar working on Genetics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 6 papers that have together received 990 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Forensic and Genetic Research (3 papers), Graph Theory and Algorithms (2 papers), Semantic Web and Ontologies (2 papers), Advanced Database Systems and Queries (2 papers), RNA modifications and cancer (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Identification and Quantification in Food (1 paper). The work is most often cited by research in Archeology (302 citations), Genetics (678 citations) and Paleontology (137 citations). Dominic Pacher has collaborated with scholars based in Austria, Germany and Thailand. Frequent co-authors include Hansi Weißensteiner, Sebastian Schönherr, Anita Kloss‐Brandstätter, Florian Kronenberg, Günther Specht, Lukas Forer, Robert Binna, Hans‐Jürgen Bandelt, Antonio Salas and Gertraud Erhart. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Human Mutation.

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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