Thomas B. Jablin

2.0k citations
26 papers · 904 indexed · 1 hit paper · h-index 15
Topics
Parallel Computing and Optimization Techniques (24 papers)Distributed systems and fault tolerance (11 papers)Advanced Data Storage Technologies (11 papers)

In The Last Decade

Thomas B. Jablin

25 papers receiving 866 citations

Hit Papers

Ten Lessons From Three Generations Shaped Google’s TPUv4i...2021202620222024202150100150

Peers

Thomas B. Jablin
Comparison fields: 5 of 60
  • Hardware and Architecture 677
  • Computer Networks and Communications 614
  • Information Systems 192
  • Electrical and Electronic Engineering 144
  • Artificial Intelligence 129
Replace Michael Gerndt with:
Michael Gerndt Germany
Gregory Diamos United States
Jesper Larsson Träff Austria
Ravi Nair United States
Rajesh Bordawekar United States
Marco Vanneschi Italy
Sunpyo Hong United States
Christopher J. Rossbach United States
Björn Franke United Kingdom
Thomas B. Jablin relative to Michael Gerndt Germany Michael Gerndt's profile →
Citations per field
00.5×1.5×2.5×
Michael Gerndt · 1×
Citations per year

Countries citing papers authored by Thomas B. Jablin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B. Jablin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B. Jablin. 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 Thomas B. Jablin. The network helps show where Thomas B. Jablin may publish in the future.

Co-authorship network of co-authors of Thomas B. Jablin

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas B. Jablin. A scholar is included among the top collaborators of Thomas B. Jablin 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 Thomas B. Jablin. Thomas B. Jablin 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
#WorkIndexed citations
1
Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Productbreakdown →
199
2 2
3 9
4 5
5 1
6 21
7 14
8 9
9 62
10 0
11 96
12 57
13 69
14 47
15 7
16 58
17 22
18
R S P M M E
16
19 3
20 26

About Thomas B. Jablin

Thomas B. Jablin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 904 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Distributed systems and fault tolerance (11 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Hardware and Architecture (677 citations), Computer Networks and Communications (614 citations) and Information Systems (192 citations). Thomas B. Jablin has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include David I. August, Prakash Prabhu, Nick Johnson, Arun Raman, Hanjun Kim, Thomas R. Mason, Wen‐mei Hwu, Neil Vachharajani, Matthew J. Bridges and James Laudon. Their work appears in journals such as IEEE Signal Processing Magazine, ACM SIGPLAN Notices and IEEE Micro.

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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