M. Brian Blake

3.5k citations
149 papers · 2.2k · h-index 24

Impact in

Papers in

M. Brian Blake

140 papers receiving 2.1k citations

Peers

M. Brian Blake
Comparison fields: 5 of 107
  • Information Systems 1.2k
  • Management Information Systems 349
  • Computer Networks and Communications 824
  • Computer Science Applications 146
  • Artificial Intelligence 696
Replace A.T. Schreiber with:
A.T. Schreiber Netherlands
Terry R. Payne United Kingdom
Stefanos Gritzalis Greece
Agostino Poggi Italy
Steve Vinoski United States
Alessandro Ricci Italy
Aad van Moorsel United Kingdom
Anna Squicciarini United States
Yinong Chen United States
K. Selçuk Candan United States
M. Brian Blake relative to A.T. Schreiber Netherlands A.T. Schreiber's profile →
Citations per field
00.5×4.7×
A.T. Schreiber · 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 2010247
2 2016206
3 2013145
4 201377
5 201462
6 200455
7 200752
8 200852
9 201346
10 200640
11 200940
12 200839
13 201135
14 201234
15 200832
16 200731
17 200330
18 201029
19 200727
20 200526

About M. Brian Blake

M. Brian Blake is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Management Science and Operations Research, having authored 149 papers that have together received 2.2k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (74 papers), Business Process Modeling and Analysis (26 papers), Semantic Web and Ontologies (23 papers), Multi-Agent Systems and Negotiation (22 papers), Advanced Database Systems and Queries (16 papers), Cloud Computing and Resource Management (15 papers), Caching and Content Delivery (15 papers) and Advanced Software Engineering Methodologies (13 papers). The work is most often cited by research in Information Systems (1.2k citations), Management Information Systems (349 citations), Computer Networks and Communications (824 citations), Computer Science Applications (146 citations) and Artificial Intelligence (696 citations). M. Brian Blake has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yi Wei, Iman Saleh, Wei Tan, Schahram Dustdar, Gregory R. Madey, Ajay Bansal, Hassan Gomaa, Gang Huang, Sekou L. Remy and Gopal Gupta. Their work appears in journals such as IEEE Internet Computing, IEEE Transactions on Services Computing, Decision Support Systems, Clinical Pharmacology & Therapeutics and Computer.

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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