Greg Barish

640 citations
23 papers · 396 indexed · h-index 10

Greg Barish

21 papers receiving 331 citations

Peers

Greg Barish
Comparison fields: 5 of 46
  • Computer Networks and Communications 287
  • Information Systems 146
  • Signal Processing 59
  • Artificial Intelligence 88
  • Human-Computer Interaction 12
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Citations per year

Countries citing papers authored by Greg Barish

Since Specialization
Citations

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

Fields of papers citing papers by Greg Barish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Greg Barish, 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 Greg Barish Line = papers co-authored together Greg Barish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity.
20112
2
EntityBases: Compiling, Organizing and Querying Massive Entity Repositories.
20072
3 200713
4
Learning value predictors for the speculative execution of information gathering plans
20033
5
Combining Classification and Transduction for Value Prediction in Speculative Plan Execution.
20031
6
Speculative plan execution for information agents
20035
7 200242
8
Speculative execution for information gathering plans
200212
9 20027
10 20014
11 200111
12
Building Scalable and High-Performance Java Web Applications Using J2EE Technology
20019
13
The TheaterLoc Virtual Application
200010
14
Speculative Execution for Information Agents
20001
15
A Dataflow Approach to Agent-based Information Management
20009
16 2000197
17
TheaterLoc: A Case Study in Building An Information Integration System.
19997
18
Immersidata Management: Challenges in Management of Data Generated within an Immersive Environment.
199913
19 19993
20 199835

About Greg Barish

Greg Barish is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Human-Computer Interaction and Artificial Intelligence, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Semantic Web and Ontologies (8 papers), Web Data Mining and Analysis (5 papers), Data Management and Algorithms (5 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers), Peer-to-Peer Network Technologies (3 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Networks and Communications (287 citations), Information Systems (146 citations), Signal Processing (59 citations), Artificial Intelligence (88 citations) and Human-Computer Interaction (12 citations). Greg Barish has collaborated with scholars based in United States. Frequent co-authors include Craig A. Knoblock, Steven Minton, José Luis Ambite, Cyrus Shahabi, Maria Muslea, Jean Oh, Andrew Philpot, Ion Muslea, Roger Zimmermann and Sheila Tejada. Their work appears in journals such as Artificial Intelligence, ACM SIGMETRICS Performance Evaluation Review, IEEE Communications Magazine, ACM SIGMOD Record and CERN Document Server (European Organization for Nuclear 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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