Johannes Langguth

643 total citations
44 papers, 324 citations indexed

About

Johannes Langguth is a scholar working on Computer Networks and Communications, Hardware and Architecture and Sociology and Political Science. According to data from OpenAlex, Johannes Langguth has authored 44 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 9 papers in Sociology and Political Science. Recurrent topics in Johannes Langguth's work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (9 papers) and Misinformation and Its Impacts (8 papers). Johannes Langguth is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (9 papers) and Misinformation and Its Impacts (8 papers). Johannes Langguth collaborates with scholars based in Norway, Germany and United States. Johannes Langguth's co-authors include Petra Filkuková, Konstantin Pogorelov, Xing Cai, Fredrik Manne, Stefan Brenner, Kim Rand, Peter Ayton, Peter Sanders, Ariful Azad and Scott B. Baden and has published in prestigious journals such as Scientific Reports, Aquaculture and Frontiers in Psychology.

In The Last Decade

Johannes Langguth

42 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johannes Langguth Norway 11 90 89 88 77 54 44 324
Sarah Chasins United States 11 47 0.5× 41 0.5× 37 0.4× 90 1.2× 38 0.7× 28 316
Giovanni Comarela Brazil 10 181 2.0× 26 0.3× 71 0.8× 131 1.7× 24 0.4× 39 420
Adam Bender United States 8 308 3.4× 53 0.6× 182 2.1× 473 6.1× 31 0.6× 12 675
Rob Ennals United States 7 166 1.8× 100 1.1× 57 0.6× 217 2.8× 8 0.1× 9 376
Shyhtsun Felix Wu United States 10 157 1.7× 20 0.2× 48 0.5× 183 2.4× 14 0.3× 22 341
Yuh-Jzer Joung Taiwan 13 437 4.9× 50 0.6× 39 0.4× 97 1.3× 10 0.2× 57 536
Yvonne-Anne Pignolet Switzerland 9 212 2.4× 22 0.2× 17 0.2× 44 0.6× 12 0.2× 54 348
Ahmet Uyar United States 11 222 2.5× 21 0.2× 63 0.7× 90 1.2× 34 0.6× 40 368
Sharad Jaiswal United States 10 397 4.4× 25 0.3× 72 0.8× 101 1.3× 17 0.3× 18 492
Mirjam Wattenhofer Switzerland 8 195 2.2× 8 0.1× 83 0.9× 31 0.4× 35 0.6× 10 337

Countries citing papers authored by Johannes Langguth

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Langguth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Langguth

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

All Works

20 of 20 papers shown
1.
Bruijn, Mirjam de, et al.. (2025). “Aren’t we all journalists?” Citizen journalism, disinformation and the weaponization of social media in conflict torn Mali. Journalism. 26(5). 1027–1046. 1 indexed citations
2.
3.
Trotter, James, et al.. (2023). Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. Digital Collections portal (Koç University). 1–13. 10 indexed citations
4.
Langguth, Johannes, et al.. (2023). Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. 1–16. 3 indexed citations
5.
Trotter, James, Johannes Langguth, & Xing Cai. (2023). Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. Parallel Computing. 118. 103051–103051. 2 indexed citations
6.
Langguth, Johannes, et al.. (2023). COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. Journal of Computational Social Science. 6(2). 443–484. 11 indexed citations
7.
Pogorelov, Konstantin, et al.. (2022). Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. 45–54. 1 indexed citations
8.
Langguth, Johannes, et al.. (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. Scientific Reports. 12(1). 4085–4085. 3 indexed citations
9.
Straume, Hans‐Martin, Frank Asche, Atle Øglend, et al.. (2022). Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. Aquaculture. 561. 738678–738678. 34 indexed citations
10.
Filkuková, Petra, Peter Ayton, Kim Rand, & Johannes Langguth. (2021). What Should I Trust? Individual Differences in Attitudes to Conflicting Information and Misinformation on COVID-19. Frontiers in Psychology. 12. 588478–588478. 26 indexed citations
11.
Filkuková, Petra & Johannes Langguth. (2021). Blinded by Emotions: The Association between Emotional Reactivity and Trust in Fictitious News Stories on Crime. Studia Psychologica. 63(4). 404–416. 2 indexed citations
12.
Langguth, Johannes, et al.. (2021). Incremental Clustering Algorithms for Massive Dynamic Graphs. 18. 360–369. 1 indexed citations
13.
Pogorelov, Konstantin, et al.. (2021). WICO Text. 21–25. 9 indexed citations
14.
Cai, Xing, et al.. (2021). iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. Duo Research Archive (University of Oslo). 162–171. 3 indexed citations
15.
Pogorelov, Konstantin, et al.. (2020). FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020.. MediaEval. 12 indexed citations
16.
Trotter, James, Johannes Langguth, & Xing Cai. (2020). Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix–vector multiplication. Journal of Parallel and Distributed Computing. 144. 189–205. 2 indexed citations
17.
Langguth, Johannes, Qiang Lan, Namit Gaur, & Xing Cai. (2016). Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing. International Journal of Parallel Programming. 45(5). 1236–1258. 4 indexed citations
18.
Halappanavar, Mahantesh, Alex Pothen, Ariful Azad, et al.. (2015). Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer. 48(8). 46–55. 6 indexed citations
19.
Manne, Fredrik, et al.. (2015). Optimizing Approximate Weighted Matching on Nvidia Kepler K40. Bergen Open Research Archive (BORA) (University of Bergen). 105–114. 6 indexed citations
20.
Langguth, Johannes, et al.. (2014). Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes. Journal of Parallel and Distributed Computing. 76. 120–131. 10 indexed citations

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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