Don Haderle

1.2k citations
5 papers · 700 · 1 hit paper · h-index 3

Impact in

    • Parallel Computing and Optimization Techniques
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Advanced Database Systems and Queries
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery

Papers in

Don Haderle

4 papers receiving 638 citations

Don Haderle's Hit Papers

ARIES 1992 · 652 citations
6520+11+22Years since publication200400600

Peers

Don Haderle
Comparison fields: 5 of 25
  • Hardware and Architecture 200
  • Computer Networks and Communications 677
  • Information Systems 210
  • Signal Processing 69
  • Artificial Intelligence 75
Replace Anisoara Nica with:
Anisoara Nica United States
Venkateshwaran Venkataramani United States
Sang Kyun South Korea
Seth J. White United States
Cristian Diaconu United States
Kaladhar Voruganti United States
Spyridon Triantafyllis United States
Willis Lang United States
Tobias Mühlbauer Germany
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Citations per field
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Anisoara Nica · 1×
Citations per year

Countries citing papers authored by Don Haderle

Since Specialization
Citations

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

Fields of papers citing papers by Don Haderle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Don Haderle, 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 Don Haderle Line = papers co-authored together Don Haderle links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
ARIES
Hit paper breakdown →
1992652
2 198429
3 200217
4
Engagements: Building Eventually ACiD Business Transactions.
20132
5 20020

About Don Haderle

Don Haderle is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Distributed systems and fault tolerance (4 papers), Data Management and Algorithms (2 papers), Advanced Data Storage Technologies (2 papers), Service-Oriented Architecture and Web Services (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (200 citations), Computer Networks and Communications (677 citations), Information Systems (210 citations), Signal Processing (69 citations) and Artificial Intelligence (75 citations). Don Haderle has collaborated with scholars based in United States and Canada. Frequent co-authors include C. Mohan, Peter Schwarz, Hamid Pirahesh, Bruce G. Lindsay, Balakrishna R. Iyer and Pat Helland. Their work appears in journals such as IBM Systems Journal, ACM Transactions on Database Systems and Conference on Innovative Data Systems Research.

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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