Michał Podstawski

828 total citations · 1 hit paper
6 papers, 357 citations indexed

About

Michał Podstawski is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Michał Podstawski has authored 6 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Michał Podstawski's work include Graph Theory and Algorithms (3 papers), Cloud Computing and Resource Management (2 papers) and Advanced Graph Neural Networks (2 papers). Michał Podstawski is often cited by papers focused on Graph Theory and Algorithms (3 papers), Cloud Computing and Resource Management (2 papers) and Advanced Graph Neural Networks (2 papers). Michał Podstawski collaborates with scholars based in Switzerland, Poland and Italy. Michał Podstawski's co-authors include Torsten Hoefler, Maciej Besta, Robert Gerstenberger, Edgar Solomonik, Lukas Gianinazzi, Grzegorz Kwaśniewski, Nils Blach, Ales Kubicek, H. Niewiadomski and Piotr Nyczyk and has published in prestigious journals such as ACM Computing Surveys, Institutional Research Information System (Università degli Studi di Trento) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Michał Podstawski

6 papers receiving 348 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.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

2024 161 citations Maciej Besta, Nils Blach et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michał Podstawski Switzerland	5	172	117	112	107	49	6	357
Lele Yu China	9	253 1.5×	103 0.9×	106 0.9×	138 1.3×	43 0.9×	16	360
Mehreen Afzal Pakistan	9	147 0.9×	151 1.3×	126 1.1×	93 0.9×	22 0.4×	34	362
Xinyu Que United States	7	76 0.4×	118 1.0×	173 1.5×	54 0.5×	55 1.1×	17	281
Harris Papadakis Greece	9	138 0.8×	224 1.9×	186 1.7×	98 0.9×	12 0.2×	35	450
Alastair Green United Kingdom	4	156 0.9×	63 0.5×	138 1.2×	148 1.4×	13 0.3×	4	324
Dafna Sheinwald Israel	9	201 1.2×	99 0.8×	123 1.1×	33 0.3×	75 1.5×	21	326
Nadime Francis France	4	151 0.9×	58 0.5×	128 1.1×	132 1.2×	12 0.2×	7	307
Ke Zhai China	12	215 1.3×	109 0.9×	110 1.0×	40 0.4×	36 0.7×	26	414
Ta Nguyen Binh Duong Singapore	10	72 0.4×	124 1.1×	127 1.1×	52 0.5×	12 0.2×	27	254

Countries citing papers authored by Michał Podstawski

Since Specialization

Citations

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

Fields of papers citing papers by Michał Podstawski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Podstawski

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

All Works

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6 of 6 papers shown

1.

Besta, Maciej, Nils Blach, Ales Kubicek, et al.. (2024). Graph of Thoughts: Solving Elaborate Problems with Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17682–17690. 161 indexed citations breakdown →

2.

Besta, Maciej, Robert Gerstenberger, Marc Fischer, et al.. (2023). The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. 1–18. 7 indexed citations

3.

Besta, Maciej, Robert Gerstenberger, Marc Fischer, et al.. (2023). Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. ACM Computing Surveys. 56(2). 1–40. 30 indexed citations

4.

Besta, Maciej, Paolo Sylos Labini, Saleh Ashkboos, et al.. (2022). ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. Institutional Research Information System (Università degli Studi di Trento). 1–17. 2 indexed citations

5.

Kwaśniewski, Grzegorz, et al.. (2021). SeBS. 64–78. 75 indexed citations

6.

Besta, Maciej, et al.. (2017). To Push or To Pull. 93–104. 82 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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