Michael Burke

5.1k citations
115 papers · 2.3k indexed · h-index 26

Michael Burke

110 papers receiving 2.1k citations

Peers

Michael Burke
Comparison fields: 5 of 147
  • Hardware and Architecture 988
  • Software 534
  • Computer Networks and Communications 685
  • Artificial Intelligence 954
  • Information Systems 450
Replace Wolfgang Schröder‐Preikschat with:
Wolfgang Schröder‐Preikschat Germany
Craig Zilles United States
Philip K. McKinley United States
Richard C. Waters United States
Pedro Peris‐Lopez Spain
Rüdiger Kapitza Germany
Nan Guan China
Murali Annavaram United States
Ayan Banerjee United States
J.H. Aylor United States
Michael Burke relative to Wolfgang Schröder‐Preikschat Germany Wolfgang Schröder‐Preikschat's profile →
Citations per field
00.5×
Wolfgang Schröder‐Preikschat · 1×
Citations per year

Countries citing papers authored by Michael Burke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20239
3 20231
4
Residual Learning from Demonstration.
20202
5
Vid2Param: Online system identification from video for robotics applications
20192
6
Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video.
20194
7
New hemophilia B gene therapy appears effective
20181
8
Seeing movies with guns piques kids’ interest in using them
20181
9 201631
10
Beta-lactam or macrolide monotherapy for CAP?
20151
11
Normal fecal calprotectin level rules out likelihood of IBD
20131
12
Young men are increasingly abusing 2 new designer drugs
20131
13 201317
14 20121
15 201017
16
Do-it-yourself milk recording as a viable alternative to supervised milk recording in Ireland
20068
17
Peer counseling for Mom fosters breastfeeding of premature infants
20061
18
Strong Domain Variation and Treebank-Induced LFG Resources
20053
19
Treebank-Based Acquisition of a Chinese Lexical-Functional Grammar
200414
20
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
20011

About Michael Burke

Michael Burke is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Logic, programming, and type systems (15 papers), Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers), Distributed and Parallel Computing Systems (8 papers), Software Testing and Debugging Techniques (8 papers), Formal Methods in Verification (7 papers) and Advanced Database Systems and Queries (6 papers). The work is most often cited by research in Hardware and Architecture (988 citations), Software (534 citations) and Computer Networks and Communications (685 citations). Michael Burke has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Jong-Deok Choi, Ron K. Cytron, Paul Carini, Vivek Sarkar, Michael Hind, Jeanne Ferrante, Vugranam C. Sreedhar, Andy Way, Josef van Genabith and Aoife Cahill. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, IEEE Robotics and Automation Letters, Computational Linguistics and Hospital Pediatrics.

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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