Taavi Hupponen

9 total papers · 438 total citations
5 papers, 313 citations indexed

About

Taavi Hupponen is a scholar working on Molecular Biology, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Taavi Hupponen has authored 5 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Information Systems and Management and 2 papers in Computer Networks and Communications. Recurrent topics in Taavi Hupponen's work include Scientific Computing and Data Management (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Taavi Hupponen is often cited by papers focused on Scientific Computing and Data Management (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Taavi Hupponen collaborates with scholars based in Finland, Netherlands and Switzerland. Taavi Hupponen's co-authors include Eija Korpelainen, Jarno Tuimala, Ilari Scheinin, Petri Klemelä, Massimiliano Gentile, Teresa K. Attwood, Steve Pettifer, Gert Vriend, Jan Christian Bryne and D. J. Thorne and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Genomics.

In The Last Decade

Taavi Hupponen

5 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Taavi Hupponen	211	54	50	36	32	5	313
Petri Klemelä	235 1.1×	61 1.1×	48 1.0×	37 1.0×	32 1.0×	3	342
Arne Stabenau	249 1.2×	41 0.8×	33 0.7×	21 0.6×	15 0.5×	6	314
Maria Krestyaninova	292 1.4×	24 0.4×	33 0.7×	13 0.4×	24 0.8×	9	351
Marshall J. Levesque	284 1.3×	36 0.7×	12 0.2×	14 0.4×	12 0.4×	9	325
Ricardo Wurmus	304 1.4×	104 1.9×	11 0.2×	15 0.4×	10 0.3×	10	352
Parul Kudtarkar	174 0.8×	24 0.4×	41 0.8×	18 0.5×	5 0.2×	9	332
Radek Štěpán	191 0.9×	17 0.3×	20 0.4×	8 0.2×	6 0.2×	4	247
Sirkku Karinen	139 0.7×	47 0.9×	12 0.2×	29 0.8×	24 0.8×	8	329
Marcin Pilarczyk	192 0.9×	34 0.6×	6 0.1×	44 1.2×	36 1.1×	6	305
Lars Nilse	197 0.9×	26 0.5×	11 0.2×	15 0.4×	42 1.3×	6	284

Countries citing papers authored by Taavi Hupponen

Since Specialization

Citations

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

Fields of papers citing papers by Taavi Hupponen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taavi Hupponen

This figure shows the co-authorship network connecting the top 25 collaborators of Taavi Hupponen. A scholar is included among the top collaborators of Taavi Hupponen 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 Taavi Hupponen. Taavi Hupponen 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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