Michael Minock

431 citations
21 papers · 152 · h-index 6

Impact in

Papers in

Michael Minock

17 papers receiving 130 citations

Peers

Michael Minock
Comparison fields: 5 of 29
  • Signal Processing 48
  • Artificial Intelligence 112
  • Computer Networks and Communications 60
  • Information Systems 47
  • Geography, Planning and Development 8
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Dan Vodislav France
Akmal B. Chaudhri United States
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Simon Schenk Germany
Leonidas Galanis United States
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Citations per year

Countries citing papers authored by Michael Minock

Since Specialization
Citations

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

Fields of papers citing papers by Michael Minock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michael Minock, 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 Michael Minock Line = papers co-authored together Michael Minock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199676
2 200924
3
Where are the 'Killer Applications' of Restricted Domain Question Answering?
200512
4
A STEP towards realizing Codd's vision of rendezvous with the casual user
20078
5 20135
6 20065
7
Knowledge Representation using Schema Tuple Queries.
20034
8
A natural language interface over the MusicBrainz database
20113
9 20153
10
Phrasal Generator for Describing Relational Database Queries.
20032
11
Does TTS-based pedestrian navigation work?
20142
12 19992
13
The SpaceBook Project : Pedestrian Exploration of the City Using Dialogue Based Interaction over Smartphones
20112
14
Summary of SpaceBook project results
20141
15
Prediction and Scheduling in Navigation Systems
20131
16
Toward an active database platform for guiding urban pedestrians
20121
17 20091
18
In Pursuit of Decidable 'Logical Form'
20140
19 20000
20
Toward scalable and extensible explanation for cooperative information systems
19980

About Michael Minock

Michael Minock is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Geography, Planning and Development, having authored 21 papers that have together received 152 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Natural Language Processing Techniques (6 papers), Service-Oriented Architecture and Web Services (5 papers), Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (4 papers), Speech and dialogue systems (4 papers), Topic Modeling (4 papers) and Geographic Information Systems Studies (4 papers). The work is most often cited by research in Signal Processing (48 citations), Artificial Intelligence (112 citations), Computer Networks and Communications (60 citations), Information Systems (47 citations) and Geography, Planning and Development (8 citations). Michael Minock has collaborated with scholars based in Sweden and United States. Frequent co-authors include Hua Yang, Kuorong Chiang, Wesley W. Chu, Beth Perry, Marek Rusinkiewicz, Johan Boye, Stephen Clark, Oliver Lemon, Stephen Clark and Héctor Geffner. Their work appears in journals such as Journal of Intelligent Information Systems, Data & Knowledge Engineering, Applied Intelligence, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Very Large Data Bases.

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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