E. Fischer

20 total papers · 500 total citations
13 papers, 224 citations indexed

About

E. Fischer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Surgery. According to data from OpenAlex, E. Fischer has authored 13 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 3 papers in Surgery. Recurrent topics in E. Fischer's work include Complexity and Algorithms in Graphs (8 papers), Machine Learning and Algorithms (5 papers) and Tissue Engineering and Regenerative Medicine (3 papers). E. Fischer is often cited by papers focused on Complexity and Algorithms in Graphs (8 papers), Machine Learning and Algorithms (5 papers) and Tissue Engineering and Regenerative Medicine (3 papers). E. Fischer collaborates with scholars based in Israel, United States and France. E. Fischer's co-authors include Lance Fortnow, Johann A. Makowsky, Patrick White, Ravi Kumar, Tuğkan Batu, Ronitt Rubinfeld, Goffredo de Portu, E. Roncari, Michael Krivelevich and Márió Szegedy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Healthcare Materials and Discrete Applied Mathematics.

In The Last Decade

E. Fischer

12 papers receiving 199 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
E. Fischer	125	119	42	36	25	13	224
Daniel Johannsen	130 1.0×	214 1.8×	30 0.7×	10 0.3×	5 0.2×	19	253
Stephan Holzer	181 1.4×	101 0.8×	182 4.3×	23 0.6×	7 0.3×	14	260
Alexandra Kolla	80 0.6×	23 0.2×	62 1.5×	24 0.7×	10 0.4×	10	139
Luís Monteiro	45 0.4×	92 0.8×	28 0.7×	54 1.5×		22	180
Carola Winzen	117 0.9×	199 1.7×	26 0.6×	18 0.5×	6 0.2×	17	249
Charilaos Efthymiou	45 0.4×	35 0.3×	170 4.0×	119 3.3×	41 1.6×	16	249
Émilie Devijver	20 0.2×	90 0.8×	9 0.2×	13 0.4×	26 1.0×	21	207
Daisuke Okanohara	17 0.1×	238 2.0×	7 0.2×	16 0.4×	16 0.6×	18	332
Andrea Ceschini	37 0.3×	146 1.2×	14 0.3×	38 1.1×		19	216
Katarzyna Rybarczyk	46 0.4×	27 0.2×	104 2.5×	22 0.6×	5 0.2×	16	158

Countries citing papers authored by E. Fischer

Since Specialization

Citations

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

Fields of papers citing papers by E. Fischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Fischer

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

All Works

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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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