Eva-Maria Jakobs

184 total papers · 1.0k total citations
83 papers, 361 citations indexed

About

Eva-Maria Jakobs is a scholar working on Sociology and Political Science, Language and Linguistics and Human-Computer Interaction. According to data from OpenAlex, Eva-Maria Jakobs has authored 83 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 15 papers in Language and Linguistics and 10 papers in Human-Computer Interaction. Recurrent topics in Eva-Maria Jakobs's work include Linguistic research and analysis (14 papers), Linguistic Education and Pedagogy (9 papers) and Social Acceptance of Renewable Energy (7 papers). Eva-Maria Jakobs is often cited by papers focused on Linguistic research and analysis (14 papers), Linguistic Education and Pedagogy (9 papers) and Social Acceptance of Renewable Energy (7 papers). Eva-Maria Jakobs collaborates with scholars based in Germany, Switzerland and Czechia. Eva-Maria Jakobs's co-authors include Martina Ziefle, Daniel Perrin, Sarah Mennicken, Jan Borchers, Clay Spinuzzi, Gregory P. Pogue, Carsten Röcker, Thomas Schmitz‐Rode, Otto Kruse and Sabina Jeschke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pragmatics and Environmental Innovation and Societal Transitions.

In The Last Decade

Eva-Maria Jakobs

72 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Eva-Maria Jakobs 77 44 43 43 35 83 361
Phil Turner 82 1.1× 182 4.1× 20 0.5× 7 0.2× 26 0.7× 36 404
Joanne Kuzma 83 1.1× 15 0.3× 13 0.3× 17 0.4× 12 0.3× 35 338
Patrik Wikström 125 1.6× 6 0.1× 26 0.6× 8 0.2× 19 0.5× 48 382
Xuan Wang 95 1.2× 17 0.4× 41 1.0× 54 1.3× 3 0.1× 39 338
Gabriel Jacobs 117 1.5× 20 0.5× 16 0.4× 22 0.5× 73 2.1× 44 373
Heidi Schelhowe 46 0.6× 131 3.0× 13 0.3× 6 0.1× 16 0.5× 39 366
Isabel Pedersen 64 0.8× 103 2.3× 29 0.7× 4 0.1× 6 0.2× 52 341
Stewart Marshall 37 0.5× 6 0.1× 47 1.1× 38 0.9× 19 0.5× 46 351
Michaël Petit 125 1.6× 16 0.4× 16 0.4× 4 0.1× 12 0.3× 37 365
Kyoichi Kijima 61 0.8× 4 0.1× 11 0.3× 10 0.2× 47 1.3× 74 366

Countries citing papers authored by Eva-Maria Jakobs

Since Specialization
Citations

This map shows the geographic impact of Eva-Maria Jakobs'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 Jakobs 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 Jakobs more than expected).

Fields of papers citing papers by Eva-Maria Jakobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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