Melanie Schranz

781 total citations · 1 hit paper
34 papers, 464 citations indexed

About

Melanie Schranz is a scholar working on Computer Networks and Communications, Mechanical Engineering and Management Science and Operations Research. According to data from OpenAlex, Melanie Schranz has authored 34 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 9 papers in Mechanical Engineering and 8 papers in Management Science and Operations Research. Recurrent topics in Melanie Schranz's work include Distributed Control Multi-Agent Systems (11 papers), Modular Robots and Swarm Intelligence (9 papers) and Simulation Techniques and Applications (8 papers). Melanie Schranz is often cited by papers focused on Distributed Control Multi-Agent Systems (11 papers), Modular Robots and Swarm Intelligence (9 papers) and Simulation Techniques and Applications (8 papers). Melanie Schranz collaborates with scholars based in Austria, Italy and Germany. Melanie Schranz's co-authors include Wilfried Elmenreich, Micha Sende, Martina Umlauft, Thomas Schmickl, Farshad Arvin, Y. Ahmet Şekercioğlu, Gianni A. Di, Bernhard Rinner, Mario Huemer and Alessandra Bagnato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Swarm and Evolutionary Computation and Journal of Intelligent & Robotic Systems.

In The Last Decade

Melanie Schranz

28 papers receiving 445 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.

Swarm Robotic Behaviors and Current Applications

2020 248 citations Melanie Schranz, Martina Umlauft et al. Frontiers in Robotics and AI profile →

Peers

Melanie Schranz

CNC

ME

AI

CVPR

AE

Micha Sende Austria

Jan Carlo Barca Australia

Chris Jones United Kingdom

Martina Umlauft Austria

Levent Bayındır Türkiye

Nithin Mathews Belgium

Xingguang Peng China

Arab Ali Chérif France

Giovanni Pini Belgium

Zhongyang Zheng China

Micha Sende Austria

Melanie Schranz

175 ×0.8

CNC

127 ×0.9

ME

68 ×0.7

AI

71 ×0.8

CVPR

69 ×0.9

AE

Citations per year, relative to Melanie Schranz Melanie Schranz (= 1×) peers Micha Sende

Countries citing papers authored by Melanie Schranz

Since Specialization

Citations

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

Fields of papers citing papers by Melanie Schranz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Schranz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ghasemi, Abdorasoul, et al.. (2025). Swarm Intelligence-Based Algorithm for Workload Placement in Edge-Fog-Cloud Continuum. Pure (Coventry University). 310–317.

2.

Palumbo, Francesca, Alessandra Bagnato, Jerónimo Castrillón, et al.. (2024). MYRTUS: Multi-layer 360° dYnamic orchestration and interopeRable design environmenT for compute-continUum Systems. UvA-DARE (University of Amsterdam). 101–106. 2 indexed citations

3.

Umlauft, Martina & Melanie Schranz. (2024). Using NetLogo to Simulate Large Production Plants: Simulation Performance: A Case Study. 297–304.

4.

Schranz, Melanie, et al.. (2024). Preserving Privacy in Logistics by Using Swarm Intelligence from the Bottom-Up. 1–7. 1 indexed citations

5.

Ghasemi, Abdorasoul & Melanie Schranz. (2024). Bottom-Up Resource Orchestration in Edge Computing: An Agent-Based Modeling Approach. 1–7.

6.

Umlauft, Martina, et al.. (2023). Bottom-Up Bio-Inspired Algorithms for Optimizing Industrial Plants. 59–70.

7.

Schranz, Melanie, et al.. (2023). Reinforcement Learning-Based Countermeasures Against Attacking UAV Swarms. 647–653. 4 indexed citations

8.

Elmenreich, Wilfried, et al.. (2021). An Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up. 296–303. 1 indexed citations

9.

Sende, Micha, et al.. (2021). Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench. Journal of Intelligent & Robotic Systems. 102(4). 5 indexed citations

10.

Schranz, Melanie, Martina Umlauft, & Wilfried Elmenreich. (2021). Bottom-up Job Shop Scheduling with Swarm Intelligence in Large Production Plants. 327–334. 1 indexed citations

11.

Schranz, Melanie, et al.. (2020). A study using the low-cost swarm robotics platform spiderino in education. SHILAP Revista de lepidopterología. 1. 100017–100017. 11 indexed citations

12.

Schranz, Melanie, Martina Umlauft, Micha Sende, & Wilfried Elmenreich. (2020). Swarm Robotic Behaviors and Current Applications. Frontiers in Robotics and AI. 7. 36–36. 248 indexed citations breakdown →

13.

Schranz, Melanie, Gianni A. Di, Thomas Schmickl, et al.. (2020). Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends. Swarm and Evolutionary Computation. 60. 100762–100762. 109 indexed citations

14.

Schranz, Melanie, et al.. (2020). Modeling CPS Swarms. ACM SIGAda Ada Letters. 40(1). 60–63. 1 indexed citations

15.

Schranz, Melanie, Alessandra Bagnato, Davide Conzon, et al.. (2019). The CPSwarm Technology for Designing Swarms of Cyber-Physical Systems. CEUR Workshop Proceedings. 85–90. 3 indexed citations

16.

Elmenreich, Wilfried, et al.. (2019). Swarm Intelligence Layer to Control Autonomous Agents (SWILT).. CEUR Workshop Proceedings. 91–96. 1 indexed citations

17.

Schranz, Melanie & Torsten Andre. (2018). Towards Resource-Aware Hybrid Camera Systems. 1–7. 2 indexed citations

18.

Bagnato, Alessandra, Dario Bonino, Claudio Pastrone, et al.. (2017). Designing Swarms of Cyber-Physical Systems. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 305–312. 12 indexed citations

19.

Schranz, Melanie, et al.. (2017). Self-calibration and Cooperative State Estimation in a Resource-aware Visual Sensor Network. 101–106. 2 indexed citations

20.

Schranz, Melanie, et al.. (2016). Multi-camera object tracking using surprisal observations in visual sensor networks. EURASIP Journal on Advances in Signal Processing. 2016(1). 11 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.

Explore authors with similar magnitude of impact