William E. Novak

4.2k total citations
3 papers, 3 citations indexed

About

William E. Novak is a scholar working on Information Systems, Safety, Risk, Reliability and Quality and Management Science and Operations Research. According to data from OpenAlex, William E. Novak has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Safety, Risk, Reliability and Quality and 1 paper in Management Science and Operations Research. Recurrent topics in William E. Novak's work include Software Engineering Techniques and Practices (2 papers), Technology Assessment and Management (2 papers) and Complex Systems and Decision Making (1 paper). William E. Novak is often cited by papers focused on Software Engineering Techniques and Practices (2 papers), Technology Assessment and Management (2 papers) and Complex Systems and Decision Making (1 paper). William E. Novak collaborates with scholars based in United States. William E. Novak's co-authors include Linda Levine, Ray Williams and Carol Woody and has published in prestigious journals such as Figshare.

In The Last Decade

William E. Novak

3 papers receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h					Papers	Cites
William E. Novak United States	2	2	1	1	1	3	3
M. Daoudi Algeria	2	2 1.0×				3	3
Shahid Irshad Rao Pakistan	2	2 1.0×		1 1.0×		2	4
Cinzia Luzzi Switzerland	2	2 1.0×		1 1.0×		2	2
Emma Hardy United Kingdom	2	2 1.0×	1 1.0×	1 1.0×		3	4
Rocío Ameneiros Rodríguez Spain	2	2 1.0×				3	2
Alicia V Aleman Uruguay	2	2 1.0×				8	5
D. Vicente Spain	2	2 1.0×	1 1.0×	1 1.0×		3	4
Molly Kemball United States	2	2 1.0×				2	3
Fatima Maqsood Italy	2	2 1.0×				2	4
G. S. Huang China	2	2 1.0×		1 1.0×		3	6

Countries citing papers authored by William E. Novak

Since Specialization

Citations

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

Fields of papers citing papers by William E. Novak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Novak. 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 William E. Novak. The network helps show where William E. Novak may publish in the future.

Co-authorship network of co-authors of William E. Novak

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Novak. A scholar is included among the top collaborators of William E. Novak 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 William E. Novak. William E. Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Novak, William E. & Linda Levine. (2010). Success in Acquisition: Using Archetypes to Beat the Odds. Figshare. 1 indexed citations

2.

Novak, William E. & Ray Williams. (2010). We Have All Been Here Before: Recurring Patterns Across 12 U.S. Air Force Acquisition Programs. 1 indexed citations

3.

Novak, William E., et al.. (2005). Software Acquisition Planning Guidelines. Figshare. 1 indexed citations

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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