Mark Giampapa

1.9k citations
31 papers · 1.4k · h-index 17

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies

Papers in

Mark Giampapa

30 papers receiving 1.4k citations

Peers

Mark Giampapa
Comparison fields: 5 of 37
  • Hardware and Architecture 618
  • Computer Networks and Communications 381
  • Molecular Biology 96
  • Astronomy and Astrophysics 35
  • Physical and Theoretical Chemistry 5
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Citations per field
00.5×5×11.7×
Manish Vachharajani · 1×
Citations per year

Countries citing papers authored by Mark Giampapa

Since Specialization
Citations

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

Fields of papers citing papers by Mark Giampapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Giampapa, 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 Mark Giampapa Line = papers co-authored together Mark Giampapa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005277
2 2005261
3 2001197
4 2002140
5 200891
6 201067
7 200659
8 200646
9 199434
10 200128
11 200527
12 200626
13
IBM Research Report Design and Analysis of the BlueGene/L Torus Interconnection Network
200325
14 200523
15 200521
16 200620
17 200519
18 200514
19 200813
20 200212

About Mark Giampapa

Mark Giampapa is a scholar working on Hardware and Architecture, Computer Networks and Communications, Astronomy and Astrophysics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Interconnection Networks and Systems (4 papers) and Stellar, planetary, and galactic studies (2 papers). The work is most often cited by research in Hardware and Architecture (618 citations), Computer Networks and Communications (381 citations), Molecular Biology (96 citations), Astronomy and Astrophysics (35 citations) and Physical and Theoretical Chemistry (5 citations). Mark Giampapa has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alan Gara, Pavlos M. Vranas, Matthias A. Blumrich, Todd Takken, P. Coteus, Burkhard Steinmacher-Burow, Daihang Chen, Philip Heidelberger, Satya Narayan Singh and D. Hoenicke. Their work appears in journals such as IBM Journal of Research and Development, The Astronomical Journal, IBM Systems Journal, International Journal of Parallel Programming and Lecture notes in computer science.

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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