Daniel Serfaty

1.5k total citations
54 papers, 682 citations indexed

About

Daniel Serfaty is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Daniel Serfaty has authored 54 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 19 papers in Control and Systems Engineering and 15 papers in Social Psychology. Recurrent topics in Daniel Serfaty's work include Systems Engineering Methodologies and Applications (16 papers), Complex Systems and Decision Making (13 papers) and Team Dynamics and Performance (11 papers). Daniel Serfaty is often cited by papers focused on Systems Engineering Methodologies and Applications (16 papers), Complex Systems and Decision Making (13 papers) and Team Dynamics and Performance (11 papers). Daniel Serfaty collaborates with scholars based in United States, Australia and Germany. Daniel Serfaty's co-authors include Elliot E. Entin, David L. Kleinman, Jean MacMillan, Eileen B. Entin, Krishna R. Pattipati, Peter B. Luh, J. C. Deckert, Petros Kapasouris, Jared Freeman and Susan P. Hocevar and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Journal of Guidance Control and Dynamics and Experimental Thermal and Fluid Science.

In The Last Decade

Daniel Serfaty

49 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Serfaty United States 10 428 126 102 85 62 54 682
Elliot E. Entin United States 12 460 1.1× 103 0.8× 93 0.9× 56 0.7× 75 1.2× 36 826
Dana M. Milanovich United States 4 478 1.1× 92 0.7× 38 0.4× 80 0.9× 66 1.1× 5 722
Randall L. Oser United States 13 356 0.8× 91 0.7× 32 0.3× 105 1.2× 95 1.5× 31 789
Richard McMaster United Kingdom 9 683 1.6× 116 0.9× 106 1.0× 94 1.1× 64 1.0× 21 992
Cheryl A. Bolstad United States 18 527 1.2× 58 0.5× 50 0.5× 110 1.3× 29 0.5× 40 893
Jasmine L. Duran United States 4 327 0.8× 84 0.7× 43 0.4× 80 0.9× 24 0.4× 8 459
Rebecca Stewart United Kingdom 6 396 0.9× 64 0.5× 79 0.8× 57 0.7× 34 0.5× 8 550
Henrik Artman Sweden 15 248 0.6× 81 0.6× 43 0.4× 77 0.9× 15 0.2× 58 690
Haydee M. Cuevas United States 13 370 0.9× 77 0.6× 39 0.4× 131 1.5× 12 0.2× 53 732
Lynne Martin United States 15 498 1.2× 85 0.7× 109 1.1× 49 0.6× 52 0.8× 84 994

Countries citing papers authored by Daniel Serfaty

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Serfaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Serfaty

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

All Works

20 of 20 papers shown
1.
Serfaty, Daniel, et al.. (2024). Data repairing and resolution enhancement using data-driven modal decomposition and deep learning. Experimental Thermal and Fluid Science. 157. 111241–111241.
2.
Levchuk, Georgiy, Adam Fouse, Krishna R. Pattipati, Daniel Serfaty, & Robert McCormack. (2018). Active learning and structure adaptation in teams of heterogeneous agents: designing organizations of the future. 15. 4–4. 2 indexed citations
3.
Serfaty, Daniel, Jean MacMillan, Elliot E. Entin, & Eileen B. Entin. (2014). 3 The Decision-Making Expertise of Battle Commanders. 253–266.
4.
Serfaty, Daniel, et al.. (2014). Naturalistic Decision Making in Command and Control. 91–100. 2 indexed citations
5.
Pattipati, Krishna R., et al.. (2005). SPEYES: Sensing and Patrolling Enablers Yielding Effective SASO. Zenodo (CERN European Organization for Nuclear Research). 1–19. 1 indexed citations
6.
Johnston, Joan H., Daniel Serfaty, & Jared Freeman. (2003). Performance Measurement for Diagnosing and Debriefing Distributed Command and Control Teams. Defense Technical Information Center (DTIC). 4 indexed citations
7.
Lintern, Gavan, Frederick J. Diedrich, & Daniel Serfaty. (2003). Engineering the community of practice for maintenance of organizational knowledge. 6–7. 3 indexed citations
8.
Kleinman, David L., et al.. (2003). The effects of team size on team coordination. 28. 880–886. 1 indexed citations
9.
MacMillan, Jean, et al.. (2002). Human fusion of image and numeric information in machine-aided target recognition. 2. 1734–1738. 1 indexed citations
10.
Luh, Peter B., et al.. (2002). Hierarchical team coordination in dynamic decision-making. 33. 2041–2047. 1 indexed citations
11.
MacMillan, Jean, et al.. (2002). Situation awareness and human performance in target recognition. 4. 3833–3837. 2 indexed citations
12.
Entin, Eileen B., et al.. (2001). DMT-RNet: An Internet-Based Infrastructure for Distributed Multidisciplinary Investigations of C2 Performance. Defense Technical Information Center (DTIC). 4 indexed citations
13.
Hess, Stephen, Susan P. Hocevar, Elliot E. Entin, et al.. (2000). Building Adaptive Organizations: A Bridge from Basic Research to Operational Exercises. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 10 indexed citations
14.
Paley, Michael J., et al.. (1999). Designing Optimal Organizational Structures for Combat Information Centers in the Next Generation of Navy Ships. Defense Technical Information Center (DTIC). 1 indexed citations
15.
Entin, Elliot E. & Daniel Serfaty. (1999). Adaptive Team Coordination. Human Factors The Journal of the Human Factors and Ergonomics Society. 41(2). 312–325. 410 indexed citations
16.
MacMillan, Jean, et al.. (1999). Designing the Best Team for the Task: A Method that Combines Algorithms, Heuristics, and Expert Judgment. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 43(3). 298–302. 1 indexed citations
17.
Serfaty, Daniel, et al.. (1997). Sequential revision of belief: an application to complex decision making situations. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 27(3). 289–301. 12 indexed citations
18.
MacMillan, Jean, Eileen B. Entin, & Daniel Serfaty. (1993). Evaluating Expertise in a Complex Domain–Measures Based on Theory. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 37(17). 1152–1155. 6 indexed citations
19.
Serfaty, Daniel, et al.. (1993). Adaptation to Stress in Team Decision-Making and Coordination. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 37(18). 1228–1232. 63 indexed citations
20.
Bar‐Itzhack, Itzhack Y., et al.. (1982). Doppler-Aided Low-Accuracy Strapdown Inertial Navigation System. Journal of Guidance Control and Dynamics. 5(3). 236–242. 4 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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