Philipp Hold

960 total citations · 1 hit paper
17 papers, 632 citations indexed

About

Philipp Hold is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management of Technology and Innovation. According to data from OpenAlex, Philipp Hold has authored 17 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management of Technology and Innovation. Recurrent topics in Philipp Hold's work include Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (12 papers) and Manufacturing Process and Optimization (5 papers). Philipp Hold is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (12 papers) and Manufacturing Process and Optimization (5 papers). Philipp Hold collaborates with scholars based in Austria and Germany. Philipp Hold's co-authors include Wilfried Sihn, Selim Erol, K.O. Ott, Andreas Jäger, Fazel Ansari, Fabian Ranz, Vera Hummel, Martin Hennig, Detlef Gerhard and Alexandra Mazak and has published in prestigious journals such as Journal of Intelligent Manufacturing, International Journal of Industrial Ergonomics and CIRP journal of manufacturing science and technology.

In The Last Decade

Philipp Hold

17 papers receiving 601 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production

2016 408 citations Selim Erol, Andreas Jäger et al. Procedia CIRP profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Hold Austria	10	435	102	92	85	61	17	632
Sebastian Schlund Austria	14	337 0.8×	85 0.8×	84 0.9×	64 0.8×	44 0.7×	63	614
Josef Basl Czechia	14	318 0.7×	116 1.1×	103 1.1×	71 0.8×	78 1.3×	42	567
Marina Crnjac Croatia	10	309 0.7×	64 0.6×	63 0.7×	64 0.8×	34 0.6×	20	467
Nikola Gjeldum Croatia	16	436 1.0×	131 1.3×	113 1.2×	89 1.0×	39 0.6×	32	647
Eduardo B. Pinto Portugal	11	301 0.7×	90 0.9×	178 1.9×	114 1.3×	72 1.2×	23	634
Amr Adel Australia	8	263 0.6×	72 0.7×	64 0.7×	51 0.6×	35 0.6×	18	604
Christian Ramsauer Austria	10	267 0.6×	93 0.9×	70 0.8×	66 0.8×	34 0.6×	69	457
Manuel Woschank Austria	14	362 0.8×	157 1.5×	160 1.7×	69 0.8×	59 1.0×	55	705
Ana Pereira Portugal	7	530 1.2×	211 2.1×	158 1.7×	86 1.0×	88 1.4×	8	759
Michael Tisch Germany	13	694 1.6×	151 1.5×	93 1.0×	112 1.3×	22 0.4×	25	998

Countries citing papers authored by Philipp Hold

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Hold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Hold

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

All Works

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17 of 17 papers shown

Hold, Philipp, et al.. (2024). Flexible BPMN-Steuerung für Robotersysteme/Flexible BPMN-based control for robotic systems. wt Werkstattstechnik online. 114(4). 128–135. 1 indexed citations

Nausch, Monika, et al.. (2024). Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization. Journal of Intelligent Manufacturing. 36(8). 5375–5395. 1 indexed citations

Hold, Philipp, et al.. (2024). Expanding the boundaries of Zero Defect Manufacturing - A systematic literature review. Procedia CIRP. 122. 336–341. 3 indexed citations

Gerdenitsch, Cornelia, et al.. (2022). Augmented reality assisted assembly: An action regulation theory perspective on performance and user experience. International Journal of Industrial Ergonomics. 92. 103384–103384. 4 indexed citations

Hold, Philipp, et al.. (2021). A Methodological Approach for Monitoring Assembly Processes. Procedia CIRP. 104. 1233–1238. 4 indexed citations

Ansari, Fazel, et al.. (2020). A knowledge-based approach for representing jobholder profile toward optimal human–machine collaboration in cyber physical production systems. CIRP journal of manufacturing science and technology. 28. 87–106. 44 indexed citations

Hennig, Martin, et al.. (2019). TU Wien Pilot Factory Industry 4.0. Procedia Manufacturing. 31. 200–205. 25 indexed citations

Egger-Lampl, Sebastian, et al.. (2019). Assembly Instructions with AR: Towards measuring Interactive Assistance Experience in an Industry 4.0 Context. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 10 indexed citations

Ansari, Fazel, et al.. (2018). AUTODIDACT: Introducing the Concept of Mutual Learning into a Smart Factory Industry 4.0.. International Association for Development of the Information Society. 11 indexed citations

10.

Ranz, Fabian, et al.. (2018). A Morphology of Human Robot Collaboration Systems for Industrial Assembly. Procedia CIRP. 72. 99–104. 28 indexed citations

11.

Hold, Philipp, et al.. (2018). A Concept towards Automated Data-Driven Reconfiguration of Digital Assistance Systems. Procedia Manufacturing. 23. 99–104. 13 indexed citations

12.

Ansari, Fazel, Philipp Hold, & Wilfried Sihn. (2018). Human-Centered Cyber Physical Production System: How Does Industry 4.0 impact on Decision-Making Tasks?. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 10 indexed citations

13.

Hold, Philipp, et al.. (2017). Planning and Evaluation of Digital Assistance Systems. Procedia Manufacturing. 9. 143–150. 44 indexed citations

14.

Erol, Selim & Philipp Hold. (2016). Keeping Track of the Physical in Assembly Processes. 1–4. 4 indexed citations

15.

Hold, Philipp & Wilfried Sihn. (2016). Towards a model to identify the need and the economic efficiency of digital assistance systems in cyber-physical assembly systems. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 53. 1–4. 9 indexed citations

16.

Hold, Philipp, Fabian Ranz, Wilfried Sihn, & Vera Hummel. (2016). Planning Operator Support in Cyber-Physical Assembly Systems. IFAC-PapersOnLine. 49(32). 60–65. 13 indexed citations

17.

Erol, Selim, Andreas Jäger, Philipp Hold, K.O. Ott, & Wilfried Sihn. (2016). Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production. Procedia CIRP. 54. 13–18. 408 indexed citations breakdown →

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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