Daniel Nilsson

4.6k total citations
107 papers, 3.1k citations indexed

About

Daniel Nilsson is a scholar working on Ocean Engineering, Safety, Risk, Reliability and Quality and Social Psychology. According to data from OpenAlex, Daniel Nilsson has authored 107 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Ocean Engineering, 39 papers in Safety, Risk, Reliability and Quality and 17 papers in Social Psychology. Recurrent topics in Daniel Nilsson's work include Evacuation and Crowd Dynamics (76 papers), Traffic and Road Safety (21 papers) and Fire dynamics and safety research (20 papers). Daniel Nilsson is often cited by papers focused on Evacuation and Crowd Dynamics (76 papers), Traffic and Road Safety (21 papers) and Fire dynamics and safety research (20 papers). Daniel Nilsson collaborates with scholars based in Sweden, New Zealand and United States. Daniel Nilsson's co-authors include Enrico Ronchi, Ruggiero Lovreglio, Håkan Frantzich, Karl Fridolf, Anders Johansson, Jonathan Wahlqvist, Xilei Zhao, Joakim Eriksson, Erica D. Kuligowski and Maria Johansson and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journals of Gerontology Series A and Accident Analysis & Prevention.

In The Last Decade

Daniel Nilsson

96 papers receiving 2.9k 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 Nilsson Sweden 33 2.4k 1.3k 646 494 389 107 3.1k
Enrico Ronchi Sweden 38 3.0k 1.3× 1.6k 1.3× 929 1.4× 445 0.9× 325 0.8× 133 3.8k
Ruggiero Lovreglio New Zealand 37 2.2k 0.9× 895 0.7× 774 1.2× 443 0.9× 583 1.5× 120 3.5k
S. Gwynne United Kingdom 28 2.2k 0.9× 990 0.8× 682 1.1× 172 0.3× 86 0.2× 128 2.6k
Edwin R. Galea United Kingdom 32 2.9k 1.2× 1.9k 1.5× 951 1.5× 591 1.2× 70 0.2× 239 4.4k
Max Kinateder Canada 20 1.1k 0.5× 493 0.4× 305 0.5× 340 0.7× 337 0.9× 50 1.7k
Håkan Frantzich Sweden 20 1.1k 0.5× 783 0.6× 278 0.4× 171 0.3× 67 0.2× 81 1.4k
Dorine C. Duives Netherlands 18 873 0.4× 497 0.4× 890 1.4× 95 0.2× 72 0.2× 62 1.6k
Majid Sarvi Australia 48 2.8k 1.2× 2.6k 2.0× 3.2k 4.9× 240 0.5× 48 0.1× 261 6.2k
Weiguo Song China 28 2.2k 0.9× 1.5k 1.1× 850 1.3× 43 0.1× 32 0.1× 118 2.6k
Michael Spearpoint New Zealand 24 848 0.4× 1.4k 1.1× 117 0.2× 57 0.1× 92 0.2× 169 2.3k

Countries citing papers authored by Daniel Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nilsson. A scholar is included among the top collaborators of Daniel Nilsson 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 Nilsson. Daniel Nilsson 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.
Nilsson, Daniel, et al.. (2025). Fast and high-resolution X-ray nano tomography for failure analysis in advanced packaging. Microelectronics Reliability. 168. 115694–115694.
2.
Feng, Zhenan, et al.. (2025). Real-time human pose estimation and tracking on monocular videos: A systematic literature review. Neurocomputing. 655. 131309–131309.
3.
Nilsson, Daniel, et al.. (2024). In-lab X-ray particle velocimetry for multiphase flows: Design principles and demonstration of O(1 kHz) XPV. Flow Measurement and Instrumentation. 96. 102536–102536. 3 indexed citations
4.
Zhao, Xilei, et al.. (2024). Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires. Transportation Research Part A Policy and Practice. 190. 104242–104242. 4 indexed citations
5.
Nilsson, Daniel, et al.. (2024). Improved Resolution in Advanced Packaging Metrology Through Advanced Nano-Focus X-Ray Sources. 1–3. 1 indexed citations
6.
Nilsson, Daniel, et al.. (2024). In-line and at-line battery CT enabled by MetalJet sources. SHILAP Revista de lepidopterología. 29(3). 2 indexed citations
7.
Nilsson, Daniel, et al.. (2024). X-Ray Nanotomography Enabling Submicron Resolution Failure Analysis for Advanced Packaging. Proceedings - International Symposium for Testing and Failure Analysis. 84918. 169–174. 1 indexed citations
8.
Lovreglio, Ruggiero, et al.. (2023). Predicting and Assessing Wildfire Evacuation Decision-Making Using Machine Learning: Findings from the 2019 Kincade Fire. Fire Technology. 59(2). 793–825. 22 indexed citations
9.
Thompson, Peter, et al.. (2023). A novel approach to the investigation and quantification of the stop/start process for pedestrian traffic using motion capture devices. Travel Behaviour and Society. 34. 100659–100659. 2 indexed citations
10.
Thompson, Peter, et al.. (2022). Experimental analyses of step extent and contact buffer in pedestrian dynamics. Physica A Statistical Mechanics and its Applications. 593. 126927–126927. 7 indexed citations
11.
Xu, Yiming, Xilei Zhao, Ruggiero Lovreglio, et al.. (2022). A highway vehicle routing dataset during the 2019 Kincade Fire evacuation. Scientific Data. 9(1). 608–608. 4 indexed citations
12.
Lovreglio, Ruggiero, Enrico Ronchi, & Daniel Nilsson. (2015). A mixed-ordered Logit approach to investigate correlations among different affordances in fire evacuation. Lund University Publications (Lund University). 6 indexed citations
13.
Ronchi, Enrico, et al.. (2015). A Virtual Reality Experiment on Flashing Lights at Emergency Exit Portals for Road Tunnel Evacuation. Fire Technology. 52(3). 623–647. 144 indexed citations
14.
Conde, Vladimir, et al.. (2014). A rapid deployment instrument network for temporarily monitoring volcanic SO 2 emissions – a case study from Telica volcano. Geoscientific instrumentation, methods and data systems. 3(2). 127–134. 5 indexed citations
15.
Ronchi, Enrico, et al.. (2013). Employing validation and verification tests as an integral part of evacuation model development.. Lund University Publications (Lund University). 3 indexed citations
16.
Becker, Per, et al.. (2013). Approaches to doctoral supervision in relation to student expectations. 1 indexed citations
17.
Fridolf, Karl, Daniel Nilsson, & Håkan Frantzich. (2012). Train evacuation inside a tunnel: An interview study with senior citizens and people with disabilities. Lund University Publications (Lund University). 5 indexed citations
18.
Fridolf, Karl & Daniel Nilsson. (2011). People's Subjective Estimation of Fire Growth: An Experimental Study of Young Adults. Fire Safety Science. 10. 161–172. 7 indexed citations
19.
Nilsson, Daniel, et al.. (2011). Design of Evacuation Systems for Elevator Evacuation in High-Rise Buildings. Journal of Disaster Research. 6(6). 600–609. 13 indexed citations
20.
Frantzich, Håkan & Daniel Nilsson. (2004). Evacuation experiments in a smoke filled tunnel. Lund University Publications (Lund University). 33 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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