Eva Maria Prem

22 total papers · 432 total citations
18 papers, 314 citations indexed

About

Eva Maria Prem is a scholar working on Molecular Biology, Building and Construction and Biomedical Engineering. According to data from OpenAlex, Eva Maria Prem has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Building and Construction and 7 papers in Biomedical Engineering. Recurrent topics in Eva Maria Prem's work include Anaerobic Digestion and Biogas Production (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Biofuel production and bioconversion (6 papers). Eva Maria Prem is often cited by papers focused on Anaerobic Digestion and Biogas Production (11 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Biofuel production and bioconversion (6 papers). Eva Maria Prem collaborates with scholars based in Austria and Slovenia. Eva Maria Prem's co-authors include Paul Illmer, Andreas Otto Wagner, Rudolf Markt, Nina Lackner, Mira Mutschlechner, Christoph Reitschuler, Nadine Praeg, Blaž Stres, Rüdiger Kaufmann and Judith Ascher‐Jenull and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Biotechnology and Bioengineering.

In The Last Decade

Eva Maria Prem

16 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
Eva Maria Prem	160	158	111	52	39	18	314
W. Zerr	116 0.7×	182 1.2×	89 0.8×	96 1.8×	68 1.7×	8	330
W.H.J. Hattingh	81 0.5×	210 1.3×	73 0.7×	67 1.3×	41 1.1×	13	349
Balázs Kakuk	82 0.5×	129 0.8×	90 0.8×	31 0.6×	36 0.9×	25	306
Michael Barbosa Viana	149 0.9×	145 0.9×	108 1.0×	42 0.8×	22 0.6×	19	271
Johanna Klang	136 0.8×	235 1.5×	110 1.0×	96 1.8×	82 2.1×	11	348
Ashutosh Gupta	142 0.9×	72 0.5×	88 0.8×	74 1.4×	12 0.3×	16	330
Qiang Li	54 0.3×	110 0.7×	63 0.6×	98 1.9×	61 1.6×	19	274
Masaharu Tasaki	65 0.4×	77 0.5×	81 0.7×	72 1.4×	46 1.2×	32	312
T. N. Whitmore	78 0.5×	118 0.7×	57 0.5×	76 1.5×	25 0.6×	18	312
Hadi Nazem‐Bokaee	96 0.6×	57 0.4×	192 1.7×	27 0.5×	43 1.1×	17	320

Countries citing papers authored by Eva Maria Prem

Since Specialization

Citations

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

Fields of papers citing papers by Eva Maria Prem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Prem. 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 Eva Maria Prem. The network helps show where Eva Maria Prem may publish in the future.

Co-authorship network of co-authors of Eva Maria Prem

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Prem. A scholar is included among the top collaborators of Eva Maria Prem 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 Eva Maria Prem. Eva Maria Prem 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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