Gabriel Tanase

29 total papers · 546 total citations
15 papers, 211 citations indexed

About

Gabriel Tanase is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gabriel Tanase has authored 15 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gabriel Tanase's work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (6 papers) and Graph Theory and Algorithms (5 papers). Gabriel Tanase is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (6 papers) and Graph Theory and Algorithms (5 papers). Gabriel Tanase collaborates with scholars based in United States, Saudi Arabia and Canada. Gabriel Tanase's co-authors include Lawrence Rauchwerger, Nancy M. Amato, Nathan Thomas, Mauro Bianco, Ioannis Papadopoulos, Olga Pearce, Gheorghe Almási, José E. Moreira, Joefon Jann and Charles J Archer and has published in prestigious journals such as ACM SIGPLAN Notices, Concurrency and Computation Practice and Experience and International Journal of Parallel Programming.

In The Last Decade

Gabriel Tanase

14 papers receiving 193 citations

Author Peers

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

Author						Papers	Cites
Gabriel Tanase	143	134	60	55	54	15	211
Oliver Reiche	178 1.2×	89 0.7×	86 1.4×	15 0.3×	22 0.4×	23	261
J. A. Herdman	187 1.3×	197 1.5×	20 0.3×	52 0.9×	20 0.4×	17	261
Zhaoshi Li	184 1.3×	151 1.1×	57 0.9×	18 0.3×	43 0.8×	19	275
Shi Dong	96 0.7×	122 0.9×	73 1.2×	41 0.7×	62 1.1×	16	223
Atefeh Sohrabizadeh	105 0.7×	46 0.3×	43 0.7×	11 0.2×	30 0.6×	15	191
Renaud Pacalet	127 0.9×	39 0.3×	39 0.7×	28 0.5×	113 2.1×	28	194
Samuel Bayliss	209 1.5×	128 1.0×	22 0.4×	13 0.2×	47 0.9×	18	287
Ian D. Miller	126 0.9×	123 0.9×	63 1.1×	25 0.5×	18 0.3×	17	257
Tom Fitzpatrick	43 0.3×	152 1.1×	28 0.5×	95 1.7×	97 1.8×	15	224
Abid M. Malik	91 0.6×	82 0.6×	31 0.5×	37 0.7×	37 0.7×	26	164

Countries citing papers authored by Gabriel Tanase

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Tanase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Tanase

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