Manuela Fischer

813 total citations
12 papers, 332 citations indexed

About

Manuela Fischer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Manuela Fischer has authored 12 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Manuela Fischer's work include Complexity and Algorithms in Graphs (9 papers), Cryptography and Data Security (7 papers) and Optimization and Search Problems (6 papers). Manuela Fischer is often cited by papers focused on Complexity and Algorithms in Graphs (9 papers), Cryptography and Data Security (7 papers) and Optimization and Search Problems (6 papers). Manuela Fischer collaborates with scholars based in Switzerland, United States and Germany. Manuela Fischer's co-authors include Mike Paterson, Mohsen Ghaffari, Jara Uitto, Fabian Kühn, Yi‐Jun Chang, Slobodan Mitrović, MohammadTaghi Hajiaghayi, Soheil Behnezhad, Richard M. Karp and Mahsa Derakhshan and has published in prestigious journals such as Distributed Computing, ACM Transactions on Algorithms and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Manuela Fischer

12 papers receiving 314 citations

Peers

Manuela Fischer

AI

CTM

MB

CNC

HA

Artūrs Bačkurs United States

Omer Berkman United States

Mireille Régnier France

Alexander Golynski Canada

Tsvi Kopelowitz United States

Christophe Hancart France

Tomasz Kociumaka Poland

Martti Penttonen Finland

Dany Breslauer Denmark

Volker Heun Germany

Artūrs Bačkurs United States

Manuela Fischer

181 ×0.7

AI

97 ×0.4

CTM

76 ×0.8

MB

44 ×0.5

CNC

23 ×0.3

HA

Citations per year, relative to Manuela Fischer Manuela Fischer (= 1×) peers Artūrs Bačkurs

Countries citing papers authored by Manuela Fischer

Since Specialization

Citations

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

Fields of papers citing papers by Manuela Fischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Fischer

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Fischer, Manuela, Slobodan Mitrović, & Jara Uitto. (2022). Deterministic (1+ 𝜀 )-approximate maximum matching with poly(1/ 𝜀 ) passes in the semi-streaming model and beyond. Repository for Publications and Research Data (ETH Zurich). 248–260. 10 indexed citations

2.

Bateni, MohammadHossein, Hossein Esfandiari, Manuela Fischer, & Vahab Mirrokni. (2021). Extreme k-Center Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 3941–3949. 5 indexed citations

3.

Fischer, Manuela, et al.. (2019). Tight Analysis of Parallel Randomized Greedy MIS. ACM Transactions on Algorithms. 16(1). 1–13. 3 indexed citations

4.

Behnezhad, Soheil, Sebastian Brandt, Mahsa Derakhshan, et al.. (2019). Massively Parallel Computation of Matching and MIS in Sparse Graphs. 481–490. 16 indexed citations

5.

Chang, Yi‐Jun, et al.. (2019). The Complexity of (Δ+1) Coloring in Congested Clique, Massively Parallel Computation, and Centralized Local Computation. 471–480. 18 indexed citations

6.

Fischer, Manuela. (2018). Improved deterministic distributed matching via rounding. Distributed Computing. 33(3-4). 279–291. 12 indexed citations

7.

Fischer, Manuela & Mohsen Ghaffari. (2018). A simple parallel and distributed sampling technique: Local glauber dynamics. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

8.

Fischer, Manuela & Mohsen Ghaffari. (2017). Deterministic Distributed Matching: Simpler, Faster, Better.. arXiv (Cornell University). 2 indexed citations

9.

Fischer, Manuela & Mohsen Ghaffari. (2017). Sublogarithmic Distributed Algorithms for Lov\\'asz Local lemma, and the\n Complexity Hierarchy. arXiv (Cornell University). 10 indexed citations

10.

Fischer, Manuela. (2017). Improved Deterministic Distributed Matching via Rounding. arXiv (Cornell University). 15. 6 indexed citations

11.

Fischer, Manuela, Mohsen Ghaffari, & Fabian Kühn. (2017). Deterministic Distributed Edge-Coloring via Hypergraph Maximal Matching. 180–191. 23 indexed citations

12.

Fischer, Manuela & Mike Paterson. (1974). STRING-MATCHING AND OTHER PRODUCTS. DSpace@MIT (Massachusetts Institute of Technology). 226 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.

Explore authors with similar magnitude of impact