Mark F. Hornick

17 papers receiving 1.1k citations

Hit Papers

An overview of workflow management: From process modeling...19952026200520151995250500750

Peers

Mark F. Hornick
Comparison fields: 5 of 77
  • Management Information Systems 795
  • Information Systems 736
  • Computer Networks and Communications 596
  • Artificial Intelligence 412
  • Information Systems and Management 147
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Stefan Jablonski Germany
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Mark F. Hornick relative to Stefan Jablonski Germany Stefan Jablonski's profile →
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Countries citing papers authored by Mark F. Hornick

Since Specialization
Citations

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

Fields of papers citing papers by Mark F. Hornick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark F. Hornick. 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 Mark F. Hornick. The network helps show where Mark F. Hornick may publish in the future.

Co-authorship network of co-authors of Mark F. Hornick

This figure shows the co-authorship network connecting the top 25 collaborators of Mark F. Hornick. A scholar is included among the top collaborators of Mark F. Hornick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark F. Hornick. Mark F. Hornick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2
Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
6
3
Oracle Big Data Handbook
10
4 24
5 7
6
Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for Architecture, Design, and Implementation
21
7
Oracle Data Mining - Data Mining in the Database Environment.
3
8 12
9 46
10 2
11 42
12
An overview of workflow management: From process modeling to workflow automation infrastructurebreakdown →
894
13 19
14 22
15
A transaction model for active distributed object systems
47
16 90
17
Integrating Heterogeneous, Autonomous, Distributed Applications Using the DOM Prototype.
1
18 109

About Mark F. Hornick

Mark F. Hornick is a scholar working on Management Information Systems, Computer Networks and Communications and Information Systems, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (8 papers), Advanced Database Systems and Queries (7 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Management Information Systems (795 citations), Information Systems (736 citations) and Computer Networks and Communications (596 citations). Mark F. Hornick has collaborated with scholars based in United States, Ireland and Slovenia. Frequent co-authors include Dimitrios Georgakopoulos, Amit Sheth, Stanley B. Zdonik, Frank Manola, Sandra Heiler, Michael L. Brodie, Robert L. Grossman, Pablo Tamayo, M. TAMER ÖZSU and Alejandro Buchmann. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and Artificial Intelligence Review.

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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