Toby Bloom

28.1k citations
19 papers · 521 · h-index 9

Impact in

Papers in

Toby Bloom

18 papers receiving 484 citations

Peers

Toby Bloom
Comparison fields: 5 of 79
  • Endocrinology 43
  • Animal Science and Zoology 83
  • Immunology 161
  • Hardware and Architecture 46
  • Computer Networks and Communications 128
Replace Francis Dupont with:
Francis Dupont France
John P. Stevenson United States
Kevin W. Bock United States
Robin Hunter United Kingdom
Hyoung Jun Kim South Korea
Dan Heller Israel
I. González Spain
Chi Yu Chan United States
Xinjie Zhao China
Ming–Wei Lu Taiwan
Toby Bloom relative to Francis Dupont France Francis Dupont's profile →
Citations per field
00.5×9.7×
Francis Dupont · 1×
Citations per year

Countries citing papers authored by Toby Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Toby Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016216
2 198781
3 201866
4 197961
5 198520
6 201018
7
Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis
201511
8
Proceedings of the 12th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
199711
9
Reconfiguration in Argus
19929
10 19865
11 20215
12 20045
13 19874
14 19864
15
Data warehousing: data cleaning and loading
20021
16 20221
17 20011
18 20081
19 19861

About Toby Bloom

Toby Bloom is a scholar working on Computer Networks and Communications, Materials Chemistry, Molecular Biology, Information Systems and Artificial Intelligence, having authored 19 papers that have together received 521 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Distributed systems and fault tolerance (3 papers), Gene expression and cancer classification (2 papers), Metal Alloys Wear and Properties (2 papers), Logic, programming, and type systems (2 papers), Genomics and Rare Diseases (2 papers), Magnesium Oxide Properties and Applications (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Endocrinology (43 citations), Animal Science and Zoology (83 citations), Immunology (161 citations), Hardware and Architecture (46 citations) and Computer Networks and Communications (128 citations). Toby Bloom has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Stanley B. Zdonik, Michael C. Zody, Nischay Mishra, Thomas Briese, Avi Eldar, Japhette Esther Kembou-Ringert, André Corvelo, Mady Hornig, James Ng and Adam D. Nitido. Their work appears in journals such as Drug Information Journal, ACM SIGPLAN Notices, Tourism in Marine Environments, Genome Research and mBio.

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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