Eric N. Hanson

1.9k citations
37 papers · 1.1k indexed · h-index 16

Impact in

Papers in

Eric N. Hanson

34 papers receiving 1.0k citations

Peers

Eric N. Hanson
Comparison fields: 5 of 45
  • Signal Processing 468
  • Computer Networks and Communications 950
  • Information Systems 403
  • Artificial Intelligence 411
  • Management Information Systems 77
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Countries citing papers authored by Eric N. Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Eric N. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric N. Hanson. 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 Eric N. Hanson. The network helps show where Eric N. Hanson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 201550
3
Columnar Storage in SQL Server 2012
201214
4
Statement from the Treasurer.
19990
5
Selection predicate placement in database discrimination networks
19982
6 199642
7
Active database systems
1995166
8
Rule processing in active database systems
199315
9 199364
10 19931
11
Active Data/Knowledge Bases Research At the University of Florida.
19927
12 19907
13 198733
14 1987100
15
Efficient support for rules and derived objects in relational database systems
19879
16 1987106
17 198746
18
An Analysis of Rule Indexing Implementations in Data Base Systems.
198643
19 19841
20 198440

About Eric N. Hanson

Eric N. Hanson is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (13 papers), Distributed systems and fault tolerance (11 papers), Data Mining Algorithms and Applications (9 papers), Advanced Data Storage Technologies (8 papers), Parallel Computing and Optimization Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Signal Processing (468 citations), Computer Networks and Communications (950 citations), Information Systems (403 citations), Artificial Intelligence (411 citations) and Management Information Systems (77 citations). Eric N. Hanson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jennifer Widom, Michael Stonebraker, Umeshwar Dayal, Per-Åke Larson, Theodore Johnson, Yuwang Wang, Chang‐Ho Kim, Susan Price, Timos Sellis and Vassilis Papadimos. Their work appears in journals such as ACM SIGMOD Record, Proceedings of the VLDB Endowment, Information Systems, The Knowledge Engineering Review and Software Practice and Experience.

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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