Daniel Mack

518 total citations
16 papers, 367 citations indexed

About

Daniel Mack is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel Mack has authored 16 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel Mack's work include Fault Detection and Control Systems (7 papers), Optimization and Packing Problems (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Daniel Mack is often cited by papers focused on Fault Detection and Control Systems (7 papers), Optimization and Packing Problems (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Daniel Mack collaborates with scholars based in United States, Germany and Luxembourg. Daniel Mack's co-authors include Andreas Bortfeldt, Hermann Gehring, Gautam Biswas, Xenofon Koutsoukos, John S. Kinnebrew, Raj Bharadwaj, Douglas C. Schmidt, Douglas C. Schmidt, Hamed Khorasgani and Stephanie Lester and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Automation Science and Engineering and Parallel Computing.

In The Last Decade

Daniel Mack

15 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Mack United States	9	281	85	49	40	36	16	367
Mhand Hifi France	11	425 1.5×	215 2.5×	44 0.9×	115 2.9×	9 0.3×	13	498
Paul J. W. ten Hagen Netherlands	9	103 0.4×	31 0.4×	69 1.4×	36 0.9×	22 0.6×	31	235
René Sitters Netherlands	9	176 0.6×	35 0.4×	16 0.3×	145 3.6×	9 0.3×	38	294
Michael Perregaard Denmark	9	179 0.6×	12 0.1×	29 0.6×	68 1.7×	40 1.1×	10	283
Matúš Mihaľák Switzerland	9	66 0.2×	21 0.2×	9 0.2×	60 1.5×	10 0.3×	37	220
Evangelia Pyrga Germany	6	37 0.1×	39 0.5×	12 0.2×	57 1.4×	11 0.3×	9	228
Gregor Hendel Germany	7	68 0.2×	5 0.1×	52 1.1×	50 1.3×	42 1.2×	11	225
Inmaculada Ventura Spain	9	29 0.1×	84 1.0×	15 0.3×	75 1.9×	5 0.1×	26	234
Christine L. Valenzuela United Kingdom	7	76 0.3×	6 0.1×	89 1.8×	35 0.9×	18 0.5×	9	228
Alain Quilliot France	9	198 0.7×	3 0.0×	12 0.2×	41 1.0×	9 0.3×	29	303

Countries citing papers authored by Daniel Mack

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mack. 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 Daniel Mack. The network helps show where Daniel Mack may publish in the future.

Co-authorship network of co-authors of Daniel Mack

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

All Works

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16 of 16 papers shown

Mack, Daniel, et al.. (2018). Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. at - Automatisierungstechnik. 66(4). 291–307. 3 indexed citations

Mack, Daniel, et al.. (2016). Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models. IEEE Transactions on Automation Science and Engineering. 14(1). 358–369. 28 indexed citations

Kinnebrew, John S., Daniel Mack, & Gautam Biswas. (2013). Mining Temporally-Interesting Learning Behavior Patterns. Educational Data Mining. 252–255. 8 indexed citations

Bharadwaj, Raj, et al.. (2013). Vehicle Integrated Prognostic Reasoner (VIPR) Final Report. NASA Technical Reports Server (NASA). 1 indexed citations

Biswas, Gautam, et al.. (2013). Data Mining for Anomaly Detection. NASA STI Repository (National Aeronautics and Space Administration). 8 indexed citations

Mack, Daniel, et al.. (2012). Fault Isolation for Spacecraft Systems: An Application to a Power Distribution Testbed. IFAC Proceedings Volumes. 45(20). 168–173. 1 indexed citations

Mack, Daniel, et al.. (2011). Deriving Bayesian Classifiers from Flight Data to Enhance Aircraft Diagnosis Models. Annual Conference of the PHM Society. 3(1). 8 indexed citations

Biswas, Gautam, et al.. (2011). Vehicle Integrated Prognostic Reasoner (VIPR) 2010 Annual Final Report. NASA Technical Reports Server (NASA). 1 indexed citations

Koutsoukos, Xenofon, et al.. (2010). Benchmarking the Vehicle Integrated Prognostic Reasoner. Annual Conference of the PHM Society. 2(1). 3 indexed citations

10.

Mack, Daniel, et al.. (2010). Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe Middleware. Network Protocols and Algorithms. 2(3). 9 indexed citations

11.

Mack, Daniel & Andreas Bortfeldt. (2010). A heuristic for solving large bin packing problems in two and three dimensions. Central European Journal of Operations Research. 20(2). 337–354. 20 indexed citations

12.

Mack, Daniel, et al.. (2009). Using machine learning to maintain pub/sub system QoS in dynamic environments. 1–6. 6 indexed citations

13.

Lester, Stephanie, et al.. (2008). Evaluation of Environmental Information Products for Search and Rescue Optimal Planning System (SAROPS) - Version for Public Release. Defense Technical Information Center (DTIC). 3 indexed citations

14.

Bortfeldt, Andreas & Daniel Mack. (2006). A heuristic for the three-dimensional strip packing problem. European Journal of Operational Research. 183(3). 1267–1279. 41 indexed citations

15.

Mack, Daniel, Andreas Bortfeldt, & Hermann Gehring. (2004). A parallel hybrid local search algorithm for the container loading problem. International Transactions in Operational Research. 11(5). 511–533. 88 indexed citations

16.

Bortfeldt, Andreas, Hermann Gehring, & Daniel Mack. (2003). A parallel tabu search algorithm for solving the container loading problem. Parallel Computing. 29(5). 641–662. 139 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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