Daniel R. Ries

709 citations
19 papers · 477 · h-index 9

Impact in

    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Advanced Database Systems and Queries
    • Optimization and Search Problems
    • Distributed and Parallel Computing Systems
    • Parallel Computing and Optimization Techniques
    • Real-Time Systems Scheduling

Papers in

Daniel R. Ries

16 papers receiving 411 citations

Peers

Daniel R. Ries
Comparison fields: 5 of 17
  • Computer Networks and Communications 473
  • Hardware and Architecture 96
  • Management Information Systems 49
  • Signal Processing 32
  • Information Systems 54
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Citations per year

Countries citing papers authored by Daniel R. Ries

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Ries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Ries. 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 Daniel R. Ries. The network helps show where Daniel R. Ries may publish in the future.

Co-authors

The 11 scholars most cited alongside Daniel R. Ries, 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 Daniel R. Ries Line = papers co-authored together Daniel R. Ries links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1982105
2 197777
3 197974
4 198352
5
Locking granularity revisited
198641
6
Data-Pach: Integrating Inconsistent Copies of a Database After a Partition.
198330
7 198328
8
The Effects of Concurrency Control on the Performance of a Distributed Data Management System.
197922
9
The effects of concurrency control on the performance of database management systems.
197912
10
Supporting a Semantic Data Model in a Distributed Database System
19838
11
The Effects of Concurrency Control on Database Management System Performance,
19707
12 19827
13 19833
14 19823
15 19832
16 19842
17 19832
18 19821
19
Scientific data base management at Lawrence Livermore Laboratory: needs and a prototype system
19771

About Daniel R. Ries

Daniel R. Ries is a scholar working on Computer Networks and Communications, Management Science and Operations Research, Signal Processing, Information Systems and Management and Computational Theory and Mathematics, having authored 19 papers that have together received 477 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (15 papers), Advanced Database Systems and Queries (11 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (5 papers), Data Quality and Management (3 papers), Data Management and Algorithms (2 papers), Scientific Computing and Data Management (1 paper) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Computer Networks and Communications (473 citations), Hardware and Architecture (96 citations), Management Information Systems (49 citations), Signal Processing (32 citations) and Information Systems (54 citations). Daniel R. Ries has collaborated with scholars based in United States. Frequent co-authors include Michael Stonebraker, Arvola Chan, Stephen Fox, Umeshwar Dayal, Dale Skeen, Nathan Goodman, Barbara Blaustein, Héctor García-Molina, Tim Allen and Stephen B. Fox. Their work appears in journals such as ACM Transactions on Database Systems, IEEE Transactions on Software Engineering, ACM SIGMIS Database the DATABASE for Advances in Information Systems, ACM SIGMOD Record and IEEE Data(base) Engineering Bulletin.

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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