Gregor Wiedemann

1.6k total citations · 1 hit paper
25 papers, 814 citations indexed

About

Gregor Wiedemann is a scholar working on Artificial Intelligence, General Social Sciences and Sociology and Political Science. According to data from OpenAlex, Gregor Wiedemann has authored 25 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in General Social Sciences and 5 papers in Sociology and Political Science. Recurrent topics in Gregor Wiedemann's work include Computational and Text Analysis Methods (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Gregor Wiedemann is often cited by papers focused on Computational and Text Analysis Methods (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Gregor Wiedemann collaborates with scholars based in Germany, Switzerland and Belgium. Gregor Wiedemann's co-authors include Gerhard Heyer, Andreas Niekler, Daniel Maier, Thomas Häußler, Hannah Schmid-Petri, Annie Waldherr, Peter Miltner, Barbara Pfetsch, Ueli Reber and Silke Adam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cognitive Science and Psychological Research.

In The Last Decade

Gregor Wiedemann

20 papers receiving 764 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

2018 531 citations Daniel Maier, Annie Waldherr et al. Communication Methods and Measures profile →

Peers

Countries citing papers authored by Gregor Wiedemann

Since Specialization

Citations

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

Fields of papers citing papers by Gregor Wiedemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Wiedemann

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Wiedemann. A scholar is included among the top collaborators of Gregor Wiedemann 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 Gregor Wiedemann. Gregor Wiedemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Concept and challenges of a social media observatory as a DIY research infrastructure 2023 ·Publizistik ·Gregor Wiedemann, (unknown), (unknown), (unknown), Jan Schmidt	0
2	SPICE model extension to simulate the transient coupled electro-thermal behaviour for several power electronic components on system level - modelling approach and experimental validation 2022 ·Gregor Wiedemann, (unknown)	0
3	Forum 4.0: An Open-Source User Comment Analysis Framework 2021 ·(unknown), (unknown), Chris Biemann, Wiebke Loosen, (unknown), (unknown), Christian Stöcker, Gregor Wiedemann, (unknown), Walid Maalej	1
4	On Classifying whether Two Texts are on the Same Side of an Argument 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·(unknown), Gregor Wiedemann, (unknown), Gerhard Heyer, Martin Potthast	5
5	The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments 2020 ·Datenbank-Spektrum ·Ringo Baumann, Gregor Wiedemann, (unknown), (unknown), Gerhard Heyer	0
6	Multi-modal page stream segmentation with convolutional neural networks 2019 ·Language Resources and Evaluation ·Gregor Wiedemann, Gerhard Heyer	16
7	Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings 2019 ·Gregor Wiedemann, Steffen Remus, (unknown), Chris Biemann	11
8	Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data. 2019 ·Cognitive Science ·Markus Werning, (unknown), Gregor Wiedemann	2
9	UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection 2019 ·Gregor Wiedemann, (unknown), Chris Biemann	8
10	Proportional Classification Revisited: Automatic Content Analysis of Political Manifestos Using Active Learning 2018 ·Social Science Computer Review ·Gregor Wiedemann	15
11	Topics and topical phases in German social media communication during a disaster 2018 ·Natural Language Engineering ·(unknown), (unknown), Gregor Wiedemann, Gerhard Heyer	28
12	Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology breakdown → 2018 ·Communication Methods and Measures ·Daniel Maier, Annie Waldherr, Peter Miltner, Gregor Wiedemann, Andreas Niekler, (unknown), Barbara Pfetsch, Gerhard Heyer, Ueli Reber, Thomas Häußler, Hannah Schmid-Petri, Silke Adam	531
13	Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. 2017 ·Gregor Wiedemann, Andreas Niekler	9
14	Text Mining for Qualitative Data Analysis in the Social Sciences 2016 ·Gregor Wiedemann	37
15	Text Mining in den Sozialwissenschaften 2015 ·DIAL (Catholic University of Leuven) ·Matthias Lemke, Gregor Wiedemann	13
16	Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis 2014 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Andreas Niekler, Gregor Wiedemann, Gerhard Heyer	1
17	Opening Up to Big Data : Computer-Assisted Analysis of Textual Data in Social Sciences 2013 ·Historical social research ·Gregor Wiedemann	74
18	Postdemokratie und Neoliberalismus - Zur Nutzung neoliberaler Argumentationen in der Bundesrepublik Deutschland 1949-2011 2013 ·Gregor Wiedemann, (unknown), Andreas Niekler	3
19	Postdemokratie und Neoliberalismus: zur Nutzung neoliberaler Argumentationen in der Bundesrepublik Deutschland 1949-2011; ein Werkstattbericht 2013 ·Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) ·Gregor Wiedemann, Matthias Lemke, Andreas Niekler	5
20	Source detection with the scaling index method. 1997 ·Gregor Wiedemann, H. Scheingraber, W. Voges	1

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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