Philipp Andelfinger

451 total citations
44 papers, 278 citations indexed

About

Philipp Andelfinger is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Philipp Andelfinger has authored 44 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 19 papers in Computer Networks and Communications and 12 papers in Control and Systems Engineering. Recurrent topics in Philipp Andelfinger's work include Simulation Techniques and Applications (19 papers), Traffic control and management (12 papers) and Transportation Planning and Optimization (10 papers). Philipp Andelfinger is often cited by papers focused on Simulation Techniques and Applications (19 papers), Traffic control and management (12 papers) and Transportation Planning and Optimization (10 papers). Philipp Andelfinger collaborates with scholars based in Germany, Singapore and Italy. Philipp Andelfinger's co-authors include Hannes Hartenstein, Till Neudecker, Alois Knoll, Wentong Cai, David Eckhoff, Jens Mittag, Adelinde M. Uhrmacher, Mingyu Yang, Alessandro Pellegrini and Wen Jun Tan and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Journal of Computational Science.

In The Last Decade

Philipp Andelfinger

42 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Andelfinger Germany 9 140 82 72 55 40 44 278
Shafagh Jafer United States 10 58 0.4× 46 0.6× 142 2.0× 79 1.4× 49 1.2× 48 323
Sunil Thulasidasan United States 10 118 0.8× 19 0.2× 26 0.4× 36 0.7× 23 0.6× 24 205
Zheng Cui China 9 190 1.4× 110 1.3× 21 0.3× 27 0.5× 16 0.4× 25 306
Davide Cerotti Italy 8 120 0.9× 58 0.7× 12 0.2× 26 0.5× 17 0.4× 25 221
Joonho Kwon South Korea 10 172 1.2× 123 1.5× 18 0.3× 107 1.9× 5 0.1× 44 313
Ioannis Refanidis Greece 10 120 0.9× 60 0.7× 30 0.4× 203 3.7× 25 0.6× 40 318
Carlos Brito Brazil 8 156 1.1× 39 0.5× 29 0.4× 87 1.6× 26 0.7× 26 301
Günter Haring Austria 10 216 1.5× 60 0.7× 18 0.3× 24 0.4× 6 0.1× 41 303
Manzhan Gu China 9 100 0.7× 25 0.3× 27 0.4× 85 1.5× 35 0.9× 21 331
Eleni Stai Greece 10 137 1.0× 44 0.5× 11 0.2× 54 1.0× 75 1.9× 58 384

Countries citing papers authored by Philipp Andelfinger

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Andelfinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Andelfinger

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Andelfinger. A scholar is included among the top collaborators of Philipp Andelfinger 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 Philipp Andelfinger. Philipp Andelfinger 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.
Andelfinger, Philipp, et al.. (2024). Sampling Policies for Near-Optimal Device Choice in Parallel Simulations on CPU/GPU Platforms. Cineca Institutional Research Information System (Tor Vergata University). 101–109.
2.
Pellegrini, Alessandro, et al.. (2024). Follow the Leader: Alternating CPU/GPU Computations in PDES. Cineca Institutional Research Information System (Tor Vergata University). 47–51. 3 indexed citations
3.
Andelfinger, Philipp, et al.. (2023). Zero Lookahead? Zero Problem. The Window Racer Algorithm. 1–11. 2 indexed citations
4.
Andelfinger, Philipp, et al.. (2023). Validation Without Data - Formalizing Stylized Facts Of Time Series. 2674–2685. 1 indexed citations
5.
Andelfinger, Philipp & Adelinde M. Uhrmacher. (2023). Synchronous speculative simulation of tightly coupled agents in continuous time on CPUs and GPUs. SIMULATION. 100(1). 5–21. 1 indexed citations
6.
Andelfinger, Philipp, et al.. (2023). Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access. 11. 143190–143211. 5 indexed citations
7.
Andelfinger, Philipp, et al.. (2022). GPU-Accelerated Simulation Ensembles of Stochastic Reaction Networks. 2022 Winter Simulation Conference (WSC). 12. 2570–2581. 2 indexed citations
8.
Andelfinger, Philipp, et al.. (2022). Comparing Speculative Synchronization Algorithms for Continuous-Time Agent-Based Simulations. Cineca Institutional Research Information System (Tor Vergata University). 57–66. 1 indexed citations
9.
Tan, Wen Jun, Philipp Andelfinger, David Eckhoff, Wentong Cai, & Alois Knoll. (2021). Causality and Consistency of State Update Schemes in Synchronous Agent-based Simulations. mediaTUM (Technical University of Munich). 57–68. 1 indexed citations
10.
Wagner, Michael, et al.. (2020). Evaluation of Guidance Systems at Dynamic Public Transport Hubs Using Crowd Simulation. mediaTUM (Technical University of Munich). 4. 123–134. 1 indexed citations
11.
Andelfinger, Philipp, et al.. (2020). Pedal to the Bare Metal. mediaTUM (Technical University of Munich). 117–121. 2 indexed citations
12.
Andelfinger, Philipp, et al.. (2019). A Survey on Agent-based Simulation Using Hardware Accelerators. ACM Computing Surveys. 51(6). 1–35. 40 indexed citations
13.
Andelfinger, Philipp, et al.. (2018). Model preemption based on dynamic analysis of simulation data to accelerate traffic light timing optimisation. Winter Simulation Conference. 652–663. 3 indexed citations
14.
Andelfinger, Philipp, et al.. (2018). MODEL PREEMPTION BASED ON DYNAMIC ANALYSIS OF SIMULATION DATA TO ACCELERATE TRAFFIC LIGHT TIMING OPTIMISATION. 2018 Winter Simulation Conference (WSC). 1998. 652–663. 2 indexed citations
15.
Andelfinger, Philipp, et al.. (2018). Fast-Forwarding Agent States to Accelerate Microscopic Traffic Simulations. mediaTUM (Technical University of Munich). 3. 113–124. 7 indexed citations
16.
Yang, Mingyu, Philipp Andelfinger, Wentong Cai, & Alois Knoll. (2018). Evaluation of Conflict Resolution Methods for Agent-Based Simulations on the GPU. mediaTUM (Technical University of Munich). 11. 129–132. 10 indexed citations
17.
Andelfinger, Philipp, et al.. (2018). Exploring Execution Schemes for Agent-Based Traffic Simulation on Heterogeneous Hardware. mediaTUM (Technical University of Munich). 8. 1–10. 9 indexed citations
18.
Andelfinger, Philipp, et al.. (2017). Time Warp on the GPU. 109–120. 11 indexed citations
19.
Neudecker, Till, et al.. (2016). Consideration of values in the design of access control systems.. 275–288. 2 indexed citations
20.
Andelfinger, Philipp & Hannes Hartenstein. (2013). Towards performance evaluation of conservative distributed discrete-event network simulations using second-order simulation. 221–230. 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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