Daniel P. Miranker

2.9k citations
100 papers · 1.5k · h-index 21

Impact in

Papers in

Daniel P. Miranker

95 papers receiving 1.4k citations

Peers

Daniel P. Miranker
Comparison fields: 5 of 100
  • Computer Networks and Communications 682
  • Artificial Intelligence 947
  • Software 111
  • Signal Processing 261
  • Information Systems 363
Replace Michael L. Brodie with:
Michael L. Brodie United States
Eric Lo Hong Kong
Kathleen Fisher United States
Mariano P. Consens Canada
Dennis McLeod United States
David S. Warren United States
Mary Fernández United States
Mike Loukides United States
Joachim W. Schmidt Germany
Nikolaus Augsten Austria
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Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Miranker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Miranker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TREAT: a better match algorithm for AI production systems
1987150
2
Treat: A New and Efficient Match Algorithm for Ai Production Systems
1988101
3 201386
4 201278
5
On the performance of lazy matching in production systems
199056
6 200956
7 199155
8
A complexity analysis of space-bounded learning algorithms for the constraint satisfaction problem
199652
9 198442
10 201138
11 199334
12
Effects of Database Size on Rule System Performance: Five Case Studies
199133
13 201132
14 200932
15 201331
16 200429
17
On the space-time trade-off in solving constraint satisfaction problems
199527
18 200627
19 198626
20 199624

About Daniel P. Miranker

Daniel P. Miranker is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Molecular Biology, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (36 papers), Semantic Web and Ontologies (28 papers), Data Management and Algorithms (23 papers), AI-based Problem Solving and Planning (22 papers), Algorithms and Data Compression (14 papers), Service-Oriented Architecture and Web Services (12 papers), Data Mining Algorithms and Applications (11 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Computer Networks and Communications (682 citations), Artificial Intelligence (947 citations), Software (111 citations), Signal Processing (261 citations) and Information Systems (363 citations). Daniel P. Miranker has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Juan Sequeda, Roberto J. Bayardo, David A. Brant, Salvatore J. Stolfo, Mayank Kejriwal, Weijia Xu, Marcelo Arenas, Rui Mao, James C. Browne and Smriti Ramakrishnan. Their work appears in journals such as Bioinformatics, Journal of Web Semantics, Journal of Parallel and Distributed Computing, BMC Bioinformatics and ACM SIGMOD Record.

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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