M. Brian Blake

3.2k citations
149 papers · 2.5k · h-index 25

Impact in

Papers in

M. Brian Blake

142 papers receiving 2.4k citations

Peers

M. Brian Blake
Comparison fields: 5 of 62
  • Information Systems 1.0k
  • Computer Science Applications 77
  • Management Information Systems 99
  • Computer Networks and Communications 118
  • Software 20
Replace Nancy R. Mead with:
Nancy R. Mead United States
Helen Ashman Australia
Gerard O’Regan Kyrgyzstan
Ian Gorton United States
Lukasz Golab Canada
Claudio A. Ardagna Italy
Πάνος Λουρίδας Greece
Matt Bishop United States
Florian Rosenberg Austria
Paolo Ciancarini Italy
M. Brian Blake relative to Nancy R. Mead United States Nancy R. Mead's profile →
Citations per field
00.5×2×3.4×
Nancy R. Mead · 1×
Citations per year

Countries citing papers authored by M. Brian Blake

Since Specialization
Citations

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

Fields of papers citing papers by M. Brian Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Brian Blake. 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 M. Brian Blake. The network helps show where M. Brian Blake may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010298
2 2017188
3 2013179
4 201386
5 201465
6 200863
7 200761
8 200961
9 200460
10 200849
11 200648
12 201348
13 201138
14 201237
15 200836
16 201036
17 200735
18 200332
19 200330
20 200529

About M. Brian Blake

M. Brian Blake is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 149 papers that have together received 2.5k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (54 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Multi-Agent Systems and Negotiation (9 papers), Cloud Computing and Resource Management (6 papers), Advanced Software Engineering Methodologies (5 papers), Caching and Content Delivery (3 papers), Data Mining Algorithms and Applications (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Information Systems (1.0k citations), Computer Science Applications (77 citations), Management Information Systems (99 citations), Computer Networks and Communications (118 citations) and Software (20 citations). M. Brian Blake has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Iman Saleh, Wei Tan, Schahram Dustdar, Ajay Bansal, Gregory R. Madey, Hassan E. M. Gomaa, Steffen Bleul, Thomas Weise, Sekou L. Remy and Gang Huang. Their work appears in journals such as IEEE Internet Computing, Decision Support Systems, IEEE Transactions on Knowledge and Data Engineering, The Knowledge Engineering Review and Science China Information Sciences.

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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