Martina Seidl

162 total papers · 2.1k total citations
69 papers, 602 citations indexed

About

Martina Seidl is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Martina Seidl has authored 69 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 35 papers in Software and 32 papers in Computational Theory and Mathematics. Recurrent topics in Martina Seidl's work include Formal Methods in Verification (32 papers), Model-Driven Software Engineering Techniques (22 papers) and Logic, programming, and type systems (22 papers). Martina Seidl is often cited by papers focused on Formal Methods in Verification (32 papers), Model-Driven Software Engineering Techniques (22 papers) and Logic, programming, and type systems (22 papers). Martina Seidl collaborates with scholars based in Austria, United States and Germany. Martina Seidl's co-authors include Manuel Wimmer, Armin Biere, Petra Brosch, Philip Langer, Gerti Kappel, Marijn J. H. Heule, Florian Lonsing, Konrad Wieland, Gerti Kappel and Christian Huemer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Journal of Systems and Software.

In The Last Decade

Martina Seidl

60 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Martina Seidl	363	296	261	211	93	69	602
Fernando Orejas	305 0.8×	298 1.0×	168 0.6×	215 1.0×	54 0.6×	75	499
Steve Reeves	303 0.8×	144 0.5×	181 0.7×	179 0.8×	112 1.2×	86	570
Tihamér Levendovszky	396 1.1×	505 1.7×	364 1.4×	69 0.3×	136 1.5×	85	696
András Pataricza	226 0.6×	334 1.1×	224 0.9×	82 0.4×	130 1.4×	62	506
Zinovy Diskin	343 0.9×	329 1.1×	280 1.1×	64 0.3×	118 1.3×	37	516
Francesco Parisi-Presicce	474 1.3×	189 0.6×	289 1.1×	115 0.5×	143 1.5×	48	689
Roelf J. Wieringa	349 1.0×	167 0.6×	391 1.5×	97 0.5×	98 1.1×	70	689
Thomas A. Alspaugh	261 0.7×	160 0.5×	305 1.2×	92 0.4×	72 0.8×	43	550
Roger Duke	296 0.8×	261 0.9×	226 0.9×	188 0.9×	71 0.8×	40	546
Christophe Ponsard	295 0.8×	138 0.5×	328 1.3×	55 0.3×	146 1.6×	80	541

Countries citing papers authored by Martina Seidl

Since Specialization

Citations

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

Fields of papers citing papers by Martina Seidl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Seidl

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