G.J. Tretmans

32 total papers · 400 total citations
14 papers, 173 citations indexed

About

G.J. Tretmans is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, G.J. Tretmans has authored 14 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Software, 5 papers in Computational Theory and Mathematics and 3 papers in Hardware and Architecture. Recurrent topics in G.J. Tretmans's work include Software Testing and Debugging Techniques (7 papers), Formal Methods in Verification (5 papers) and Software Reliability and Analysis Research (3 papers). G.J. Tretmans is often cited by papers focused on Software Testing and Debugging Techniques (7 papers), Formal Methods in Verification (5 papers) and Software Reliability and Analysis Research (3 papers). G.J. Tretmans collaborates with scholars based in France and Netherlands. G.J. Tretmans's co-authors include Lars Frantzen, Tim A. C. Willemse, Arend Rensink, Luís Ferreira Pires, Nicolae Goga, Theo C. Ruys, Sjouke Mauw, Loe Feijs, Joost-Pieter Katoen and Axel Belinfante and has published in prestigious journals such as Journal of Colloid and Interface Science, Lecture notes in computer science and Data Archiving and Networked Services (DANS).

In The Last Decade

G.J. Tretmans

13 papers receiving 146 citations

Author Peers

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

Author						Papers	Cites
G.J. Tretmans	164	103	35	31	28	14	173
Jan Springintveld	145 0.9×	164 1.6×	56 1.6×	17 0.5×	16 0.6×	11	214
Willibald Krenn	130 0.8×	51 0.5×	32 0.9×	24 0.8×	59 2.1×	18	160
William J. Majurski	209 1.3×	123 1.2×	24 0.7×	19 0.6×	55 2.0×	9	229
Oscar Slotosch	140 0.9×	85 0.8×	81 2.3×	23 0.7×	51 1.8×	19	207
Matthias Heizmann	96 0.6×	95 0.9×	68 1.9×	21 0.7×	27 1.0×	15	148
Peter Schrammel	81 0.5×	84 0.8×	45 1.3×	29 0.9×	19 0.7×	22	136
Bertrand Jeannet	68 0.4×	124 1.2×	73 2.1×	19 0.6×	15 0.5×	14	164
Jochen Hoenicke	106 0.6×	113 1.1×	98 2.8×	33 1.1×	30 1.1×	17	165
Roberto Cavada	91 0.6×	147 1.4×	84 2.4×	10 0.3×	11 0.4×	10	170
Stanislaw Budkowski	85 0.5×	103 1.0×	63 1.8×	69 2.2×	42 1.5×	13	216

Countries citing papers authored by G.J. Tretmans

Since Specialization

Citations

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

Fields of papers citing papers by G.J. Tretmans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.J. Tretmans. 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 G.J. Tretmans. The network helps show where G.J. Tretmans may publish in the future.

Co-authorship network of co-authors of G.J. Tretmans

This figure shows the co-authorship network connecting the top 25 collaborators of G.J. Tretmans. A scholar is included among the top collaborators of G.J. Tretmans 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 G.J. Tretmans. G.J. Tretmans 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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