M. Fischler

513 total citations
34 papers, 307 citations indexed

About

M. Fischler is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, M. Fischler has authored 34 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nuclear and High Energy Physics, 14 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in M. Fischler's work include Particle physics theoretical and experimental studies (13 papers), Distributed and Parallel Computing Systems (12 papers) and Particle Detector Development and Performance (9 papers). M. Fischler is often cited by papers focused on Particle physics theoretical and experimental studies (13 papers), Distributed and Parallel Computing Systems (12 papers) and Particle Detector Development and Performance (9 papers). M. Fischler collaborates with scholars based in United States. M. Fischler's co-authors include Ashok Das, M. Roček, Christopher T. Hill, Ralph Roskies, I. Gaines, T. Nash, J. Biel, D. Husby, H. Areti and T. Zmuda and has published in prestigious journals such as Nuclear Physics B, IEEE Transactions on Information Theory and Physics Letters B.

In The Last Decade

M. Fischler

29 papers receiving 287 citations

Peers

M. Fischler
Comparison fields: 5 of 29
  • Nuclear and High Energy Physics 263
  • Astronomy and Astrophysics 92
  • Computer Networks and Communications 54
  • Statistical and Nonlinear Physics 54
  • Hardware and Architecture 21
Replace J. Klappert with:
J. Klappert Germany
C. Studerus Switzerland
Giuseppe Marchesini Italy
K. Katō Japan
Peter J. Braam United States
S. Malik United States
Joseph Lykken United States
A. Sherstnev United Kingdom
Isabella Bierenbaum Germany
Leandro Cieri Italy
J. Klappert Germany View profile →
Citations per field, relative to M. Fischler
M. Fischler · 1×
Citations per year, relative to M. Fischler
M. Fischler · 1×

Countries citing papers authored by M. Fischler

Since Specialization
Citations

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

Fields of papers citing papers by M. Fischler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fischler

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fischler. A scholar is included among the top collaborators of M. Fischler 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 M. Fischler. M. Fischler 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
# Work Indexed citations
1 0
2 24
3 0
4
The ZOOM Fermilab physics class libraries
1
5 1
6 1
7 1
8 1
9 2
10 1
11 2
12
The ACP Multiprocessor System at Fermilab
7
13
The fermilab ACP multi-processor project
2
14 3
15 21
16 8
17 48
18 23
19 42
20 1

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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