Nils Blach

418 citations
4 papers · 173 indexed · 1 hit paper · h-index 3
Topics
Advanced Graph Neural Networks (2 papers)Topic Modeling (2 papers)Interconnection Networks and Systems (1 paper)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Nils Blach

3 papers receiving 167 citations

Hit Papers

Graph of Thoughts: Solving Elaborate Problems with Large ...202420262025202450100150

Peers

Nils Blach
Comparison fields: 5 of 53
  • Artificial Intelligence 106
  • Computer Vision and Pattern Recognition 32
  • Information Systems 22
  • Computer Networks and Communications 15
  • Health Informatics 10
Replace H. Niewiadomski with:
H. Niewiadomski Switzerland
Ales Kubicek Switzerland
Piotr Nyczyk Switzerland
Samuel Weinbach United States
Yeganeh Kordi United States
Christopher Akiki Germany
Daniel Hesslow France
Ohad Rubin Israel
Shijie Wang China
Yuxian Gu China
Nils Blach relative to H. Niewiadomski Switzerland H. Niewiadomski's profile →
Citations per field
00.5×1.5×
H. Niewiadomski · 1×
Citations per year

Countries citing papers authored by Nils Blach

Since Specialization
Citations

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

Fields of papers citing papers by Nils Blach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Blach

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 0
2 5
3
Graph of Thoughts: Solving Elaborate Problems with Large Language Modelsbreakdown →
161
4 7

About Nils Blach

Nils Blach is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 173 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Topic Modeling (2 papers) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (106 citations) and Software (8 citations). Nils Blach has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Maciej Besta, Torsten Hoefler, Michał Podstawski, Ales Kubicek, Robert Gerstenberger, Piotr Nyczyk, H. Niewiadomski, Lukas Gianinazzi, Laura Monroe and Marc Fischer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

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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