Michael Baeriswyl

40 total papers · 517 total citations
11 papers, 249 citations indexed

About

Michael Baeriswyl is a scholar working on Artificial Intelligence, Management, Monitoring, Policy and Law and Information Systems. According to data from OpenAlex, Michael Baeriswyl has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management, Monitoring, Policy and Law and 2 papers in Information Systems. Recurrent topics in Michael Baeriswyl's work include Environmental Education and Sustainability (4 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (2 papers). Michael Baeriswyl is often cited by papers focused on Environmental Education and Sustainability (4 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (2 papers). Michael Baeriswyl collaborates with scholars based in Switzerland. Michael Baeriswyl's co-authors include Claudiu Musat, Theus Hossmann, Martin Jaggi, Athanasios Giannakopoulos, Philip N. Garner, Alexandros Lazaridis, Thorsten Staake, Claire-Michelle Loock, Robert West and Wojtek Przepiorka and has published in prestigious journals such as Journal of the Association for Information Systems, Language Resources and Evaluation and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Michael Baeriswyl

11 papers receiving 230 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Baeriswyl 190 37 29 20 16 11 249
Fengmei Jin 190 1.0× 54 1.5× 25 0.9× 10 0.5× 18 1.1× 11 253
Jacky Casas 177 0.9× 26 0.7× 9 0.3× 16 0.8× 14 0.9× 11 315
Siham Yousfi 197 1.0× 54 1.5× 16 0.6× 7 0.3× 24 1.5× 15 321
Monalisa Jena 179 0.9× 38 1.0× 10 0.3× 7 0.3× 15 0.9× 8 266
Ashraf Kamal 179 0.9× 48 1.3× 23 0.8× 17 0.8× 3 0.2× 8 210
Geetanjali Garg 247 1.3× 69 1.9× 19 0.7× 19 0.9× 6 0.4× 7 316
Erdenebileg Batbaatar 177 0.9× 32 0.9× 22 0.8× 63 3.1× 29 1.8× 16 320
Christophe Laprun 147 0.8× 17 0.5× 52 1.8× 16 0.8× 10 0.6× 7 195
Lalita Bhanu Murthy Neti 219 1.2× 114 3.1× 14 0.5× 11 0.6× 9 0.6× 21 321
Scott M. Freundschuh 38 0.2× 9 0.2× 40 1.4× 21 1.1× 5 0.3× 14 248

Countries citing papers authored by Michael Baeriswyl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Baeriswyl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Baeriswyl

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