David A. Klein

745 citations
36 papers · 469 · h-index 12

Impact in

Papers in

    • AI-based Problem Solving and Planning 6
    • Security and Verification in Computing 4
    • Model-Driven Software Engineering Techniques 3

David A. Klein

31 papers receiving 419 citations

Peers

David A. Klein
Comparison fields: 5 of 92
  • Human-Computer Interaction 38
  • Artificial Intelligence 180
  • General Decision Sciences 8
  • Architecture 7
  • Information Systems and Management 29
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Citations per field
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Citations per year

Countries citing papers authored by David A. Klein

Since Specialization
Citations

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

Fields of papers citing papers by David A. Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Klein. 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 David A. Klein. The network helps show where David A. Klein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2
Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition
199442
3
YES/MVS: a continuous real time expert system
198437
4 198631
5 200326
6 200324
7 199423
8
Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning.
202022
9 200520
10 198617
11 202116
12 200213
13
Interpretive value analysis
19899
14 20229
15 20228
16
Ada: Buildings as Organisms
20036
17 20135
18 19884
19 20234
20
Deploying Contextual Computing in a Campus Setting.
20164

About David A. Klein

David A. Klein is a scholar working on Artificial Intelligence, Software, Information Systems, Signal Processing and Human-Computer Interaction, having authored 36 papers that have together received 469 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Web Application Security Vulnerabilities (5 papers), Advanced Malware Detection Techniques (5 papers), Security and Verification in Computing (4 papers), Distributed and Parallel Computing Systems (3 papers), Model-Driven Software Engineering Techniques (3 papers), Spam and Phishing Detection (3 papers) and Software Engineering and Design Patterns (2 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Artificial Intelligence (180 citations), General Decision Sciences (8 citations), Architecture (7 citations) and Information Systems and Management (29 citations). David A. Klein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Johns, Edward Hance Shortliffe, Keith R. Milliken, S. J. Hong, M. Karnaugh, Gilly Leshed, N. Sadat Shami, Konrad Rieck, Daniel J. Arp and Rodney J. Douglas. Their work appears in journals such as Artificial Intelligence, IBM Systems Journal, Reviews in the Neurosciences, IBM Journal of Research and Development and Applied Artificial Intelligence.

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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