Dana Mahr

33 total papers · 665 total citations
11 papers, 355 citations indexed

About

Dana Mahr is a scholar working on Ecological Modeling, Information Systems and Molecular Biology. According to data from OpenAlex, Dana Mahr has authored 11 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecological Modeling, 2 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Dana Mahr's work include Species Distribution and Climate Change (3 papers), European history and politics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Dana Mahr is often cited by papers focused on Species Distribution and Climate Change (3 papers), European history and politics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Dana Mahr collaborates with scholars based in Switzerland, Germany and Denmark. Dana Mahr's co-authors include Bruno J. Strasser, Gabriela Sánchez, Jérôme Baudry, Élise Tancoigne, Sascha Dickel, Alan Irwin, Claudia Göbel, Katrin Vohland, Susanne Hecker and Muki Haklay and has published in prestigious journals such as AI & Society, Digital Health and Science & Technology Studies.

In The Last Decade

Dana Mahr

10 papers receiving 299 citations

Author Peers

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

Author						Papers	Cites
Dana Mahr	139	112	71	34	28	11	355
Claudia Göbel	176 1.3×	98 0.9×	75 1.1×	37 1.1×	17 0.6×	19	383
Barbara Kieslinger	130 0.9×	73 0.7×	70 1.0×	37 1.1×	25 0.9×	36	369
Artemis Skarlatidou	93 0.7×	99 0.9×	35 0.5×	30 0.9×	19 0.7×	21	369
Colin Dixon	120 0.9×	66 0.6×	114 1.6×	19 0.6×	30 1.1×	14	401
Omega Wilson	100 0.7×	177 1.6×	57 0.8×	24 0.7×	62 2.2×	12	376
Carol Boston	140 1.0×	84 0.8×	77 1.1×	15 0.4×	8 0.3×	18	380
Darcy Lewis	209 1.5×	79 0.7×	101 1.4×	25 0.7×	8 0.3×	8	383
Isabelle Arpin	113 0.8×	116 1.0×	79 1.1×	20 0.6×	11 0.4×	31	334
Alison Dyke	156 1.1×	68 0.6×	124 1.7×	20 0.6×	16 0.6×	11	329
Rosa Arias	131 0.9×	41 0.4×	54 0.8×	36 1.1×	8 0.3×	7	298

Countries citing papers authored by Dana Mahr

Since Specialization

Citations

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

Fields of papers citing papers by Dana Mahr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Mahr

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