Blake G. Fitch

964 citations
22 papers · 434 indexed · h-index 11

Blake G. Fitch

22 papers receiving 422 citations

Peers

Blake G. Fitch
Comparison fields: 5 of 63
  • Hardware and Architecture 124
  • Computer Networks and Communications 112
  • Spectroscopy 65
  • Molecular Biology 231
  • Statistical and Nonlinear Physics 36
Replace T. J. Christopher Ward with:
T. J. Christopher Ward United States
Mark Giampapa United States
Atsushi Kawai Japan
Jaroslaw Nieplocha United States
Andrey Asadchev United States
Janusz Borkowski Poland
Oleksandr Sudakov Ukraine
Jeff Larkin United States
Hirokazu Takenouchi Japan
Ajay Panyala United States
Blake G. Fitch relative to T. J. Christopher Ward United States T. J. Christopher Ward's profile →
Citations per field
00.5×1.5×
T. J. Christopher Ward · 1×
Citations per year

Countries citing papers authored by Blake G. Fitch

Since Specialization
Citations

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

Fields of papers citing papers by Blake G. Fitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blake G. Fitch. 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 Blake G. Fitch. The network helps show where Blake G. Fitch may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20169
2
Unified high-performance I/O: one stack to rule them all
20137
3 201113
4 20116
5 20111
6 200911
7 200917
8 20093
9 20086
10 20081
11 20081
12 200810
13 20069
14 200636
15 20063
16 200621
17 200515
18 200540
19 20058
20 200353

About Blake G. Fitch

Blake G. Fitch is a scholar working on Hardware and Architecture, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 434 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Protein Structure and Dynamics (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiovascular Function and Risk Factors (6 papers), Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (5 papers), Advanced MRI Techniques and Applications (4 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (124 citations), Computer Networks and Communications (112 citations) and Spectroscopy (65 citations). Blake G. Fitch has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Robert S. Germain, T. J. Christopher Ward, Maria Eleftheriou, Aleksandr Rayshubskiy, Michael C. Pitman, Frank Suits, Jed W. Pitera, Ruhong Zhou, William C. Swope and Mark Giampapa. Their work appears in journals such as The Journal of Physical Chemistry B, IEEE Transactions on Biomedical Engineering and IBM Journal of Research and Development.

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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