Nicolas Pröllochs

102 total papers · 1.6k total citations
47 papers, 803 citations indexed

About

Nicolas Pröllochs is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Nicolas Pröllochs has authored 47 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Sociology and Political Science and 15 papers in Communication. Recurrent topics in Nicolas Pröllochs's work include Misinformation and Its Impacts (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Social Media and Politics (14 papers). Nicolas Pröllochs is often cited by papers focused on Misinformation and Its Impacts (21 papers), Sentiment Analysis and Opinion Mining (14 papers) and Social Media and Politics (14 papers). Nicolas Pröllochs collaborates with scholars based in Germany, Switzerland and United Kingdom. Nicolas Pröllochs's co-authors include Stefan Feuerriegel, Dirk Neumann, Dominik Bär, Bernhard Lutz, Claire Robertson, Jay J. Van Bavel, Philip Pärnamets, Marc T. P. Adam, Gabriele Lenzini and Josh A. Goldstein and has published in prestigious journals such as PLoS ONE, Scientific Reports and Communications of the ACM.

In The Last Decade

Nicolas Pröllochs

44 papers receiving 710 citations

Hit Papers

Negativity drives online ... 2023 2026 2024 2023 2025 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Nicolas Pröllochs 436 339 199 121 86 47 803
Lian Jian 471 1.1× 124 0.4× 296 1.5× 101 0.8× 77 0.9× 23 721
Yinping Yang 420 1.0× 229 0.7× 112 0.6× 57 0.5× 46 0.5× 42 850
Gerhard Heyer 273 0.6× 437 1.3× 211 1.1× 105 0.9× 31 0.4× 58 989
Yaniv Dover 692 1.6× 160 0.5× 83 0.4× 135 1.1× 73 0.8× 27 1.0k
Ni Huang 713 1.6× 131 0.4× 199 1.0× 77 0.6× 30 0.3× 43 1.1k
Jonathan Bright 401 0.9× 161 0.5× 353 1.8× 80 0.7× 61 0.7× 67 939
Roel Popping 219 0.5× 142 0.4× 84 0.4× 58 0.5× 55 0.6× 49 821
Andrew Tsou 271 0.6× 112 0.3× 154 0.8× 248 2.0× 110 1.3× 23 1.0k
Luca Iandoli 284 0.7× 169 0.5× 234 1.2× 97 0.8× 72 0.8× 54 1.0k
Lu Yan 471 1.1× 102 0.3× 199 1.0× 59 0.5× 38 0.4× 42 893

Countries citing papers authored by Nicolas Pröllochs

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Pröllochs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Pröllochs

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