M. Paterno

8.4k citations
28 papers · 293 · h-index 7

Impact in

Papers in

M. Paterno

23 papers receiving 287 citations

Peers

M. Paterno
Comparison fields: 5 of 37
  • Instrumentation 46
  • Astronomy and Astrophysics 160
  • Nuclear and High Energy Physics 106
  • Information Systems and Management 34
  • Computer Networks and Communications 71
Replace Jim Kowalkowski with:
Jim Kowalkowski United States
James Annis United States
Siyu He United States
Oliver Keeble Switzerland
Aniruddha R. Thakar United States
E. Seidel United States
William O’Mullane Spain
L. P. Guy Switzerland
Lukasz Wesolowski United States
Pritish Jetley United States
M. Paterno relative to Jim Kowalkowski United States Jim Kowalkowski's profile →
Citations per field
00.5×1.5×
Jim Kowalkowski · 1×
Citations per year

Countries citing papers authored by M. Paterno

Since Specialization
Citations

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

Fields of papers citing papers by M. Paterno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Paterno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Paterno Line = papers co-authored together M. Paterno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2014170
2 201226
3 201810
4 20179
5 20167
6 20117
7 20147
8 20136
9 20216
10 20126
11 20196
12 20105
13 20175
14 20144
15 19984
16 20193
17 20153
18 20152
19 20212
20 20231

About M. Paterno

M. Paterno is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Hardware and Architecture and Astronomy and Astrophysics, having authored 28 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Distributed and Parallel Computing Systems (11 papers), Particle Detector Development and Performance (10 papers), Particle physics theoretical and experimental studies (7 papers), Scientific Computing and Data Management (7 papers), Parallel Computing and Optimization Techniques (6 papers), Astrophysics and Cosmic Phenomena (3 papers) and Neutrino Physics Research (2 papers). The work is most often cited by research in Instrumentation (46 citations), Astronomy and Astrophysics (160 citations), Nuclear and High Energy Physics (106 citations), Information Systems and Management (34 citations) and Computer Networks and Communications (71 citations). M. Paterno has collaborated with scholars based in United States, Switzerland and New Zealand. Frequent co-authors include Jim Kowalkowski, Saba Sehrish, Scott Dodelson, Douglas H. Rudd, J. Zuntz, Sarah Bridle, A. Manzotti, Elise Jennings, M. Fischler and L. Garren. Their work appears in journals such as Journal of Computational Science, Computing in Science & Engineering, Parallel Computing, IEEE Transactions on Nuclear Science and Physical Review Letters.

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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