Steven A. Harp
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Co-authors
- Tarıq SamadKamakshi LakshminarayanAloke GuhaPanagiotis TsiamyrtzisVassilios MorellasIoannis PavlidisRobert P. GoldmanMark Boddy
- Topics
- Neural Networks and Applications (6 papers)Advanced Malware Detection Techniques (5 papers)Network Security and Intrusion Detection (4 papers)
- Partner nations
- United StatesBulgariaItaly
In The Last Decade
Steven A. Harp
25 papers receiving 974 citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 550
- Computer Vision and Pattern Recognition 209
- Information Systems 183
- Computer Networks and Communications 143
- Signal Processing 118
Countries citing papers authored by Steven A. Harp
This map shows the geographic impact of Steven A. Harp'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 Steven A. Harp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Harp more than expected).
Fields of papers citing papers by Steven A. Harp
This network shows the impact of papers produced by Steven A. Harp. 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 Steven A. Harp. The network helps show where Steven A. Harp may publish in the future.
Co-authorship network of co-authors of Steven A. Harp
This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Harp. A scholar is included among the top collaborators of Steven A. Harp 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 Steven A. Harp. Steven A. Harp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | Model-based Intrusion Assessment in Common Lisp | 4 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Course of action generation for cyber security using classical planning | 81 |
| 7 | Automated Vulnerability Analysis Using AI Planning. | 3 |
| 8 | 0 | |
| 9 | 41 | |
| 10 | 145 | |
| 11 | 78 | |
| 12 | Imputation of missing data using machine learning techniques | 73 |
| 13 | DRIVER-ADAPTIVE WARNING SYSTEM | 6 |
| 14 | Optimizing neural networks with genetic algorithms | 21 |
| 15 | 64 | |
| 16 | 34 | |
| 17 | Towards the genetic synthesis of neural network | 154 |
| 18 | Designing Application-Specific Neural Networks Using the Genetic Algorithm | 60 |
| 19 | 8 | |
| 20 | 88 |
About Steven A. Harp
Steven A. Harp is a scholar working on Software, Signal Processing and Artificial Intelligence, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Advanced Malware Detection Techniques (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Artificial Intelligence (550 citations), Signal Processing (118 citations) and Computer Vision and Pattern Recognition (209 citations). Steven A. Harp has collaborated with scholars based in United States, Bulgaria and Italy. Frequent co-authors include Tarıq Samad, Kamakshi Lakshminarayan, Aloke Guha, Panagiotis Tsiamyrtzis, Vassilios Morellas, Ioannis Pavlidis, Robert P. Goldman, Mark Boddy, David W. Evans and Arthur P. Ginsburg. Their work appears in journals such as Proceedings of the IEEE, IEEE Control Systems and Optometry and Vision Science.
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.