D Mills

1.1k citations
5 papers · 679 indexed · 2 hit papers · h-index 3

Impact in

    • Advanced Database Systems and Queries
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • IoT and Edge/Fog Computing
    • Cloud Computing and Resource Management

Papers in

D Mills

5 papers receiving 647 citations

Hit Papers

The dataflow model 2015 · 302 citations
3022013202620172021100200300

Peers

D Mills
Comparison fields: 5 of 43
  • Computer Networks and Communications 593
  • Information Systems 421
  • Signal Processing 153
  • Information Systems and Management 58
  • Hardware and Architecture 53
Replace Tyler Akidau with:
Tyler Akidau United States
Konstantinos Karanasos United States
Nicola Onose United States
Nabil Hachem United States
Nga Tran United States
Andrey Gubarev United States
Fabian Hueske Germany
Tieying Zhang China
Harold Lim United States
Ingo Müller Switzerland
D Mills relative to Tyler Akidau United States Tyler Akidau's profile →
Citations per field
00.5×1.5×
Tyler Akidau · 1×
Citations per year

Countries citing papers authored by D Mills

Since Specialization
Citations

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

Fields of papers citing papers by D Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside D Mills, 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 D Mills Line = papers co-authored together D Mills links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20232
2 202116
3
The dataflow model
Hit paper breakdown →
2015302
4
MillWheel
Hit paper breakdown →
2013358
5 19611

About D Mills

D Mills is a scholar working on Information Systems and Management, Signal Processing, Biochemistry, Computer Networks and Communications and Analytical Chemistry, having authored 5 papers that have together received 679 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Scientific Computing and Data Management (2 papers), Data Quality and Management (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Data Stream Mining Techniques (1 paper), Cloud Computing and Resource Management (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (593 citations), Information Systems (421 citations), Signal Processing (153 citations), Information Systems and Management (58 citations) and Hardware and Architecture (53 citations). D Mills has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tyler Akidau, Frances Perry, Robert Bradshaw, Rafael J. Fernández-Moctezuma, Eric Schmidt, Craig Chambers, Fabian Hueske, Edmon Begoli, Istvan Cseri and P. V. Elcoate. Their work appears in journals such as Proceedings of the VLDB Endowment, The Journal of Clinical Endocrinology & Metabolism and Proceedings of the ACM on Management of Data.

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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