Michael Borkowski

1.3k total citations · 1 hit paper
21 papers, 767 citations indexed

About

Michael Borkowski is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Borkowski has authored 21 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Information Systems and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Borkowski's work include IoT and Edge/Fog Computing (6 papers), Blockchain Technology Applications and Security (6 papers) and Cloud Computing and Resource Management (5 papers). Michael Borkowski is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Blockchain Technology Applications and Security (6 papers) and Cloud Computing and Resource Management (5 papers). Michael Borkowski collaborates with scholars based in Austria, Germany and United States. Michael Borkowski's co-authors include Stefan Schulte, Olena Skarlat, Philipp Leitner, Matteo Nardelli, Marten Sigwart, Christoph Hochreiner, Stefan Tai, Jürgen Cito, Walid Fdhila and Stefanie Rinderle‐Ma and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, Proceedings of the VLDB Endowment and Personal and Ubiquitous Computing.

In The Last Decade

Michael Borkowski

20 papers receiving 732 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.

Optimized IoT service placement in the fog

2017 253 citations Olena Skarlat, Matteo Nardelli et al. Service Oriented Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Borkowski Austria	11	490	386	218	99	70	21	767
Hicham Lakhlef France	9	493 1.0×	318 0.8×	126 0.6×	42 0.4×	164 2.3×	40	686
Yiming Liu China	12	470 1.0×	340 0.9×	283 1.3×	99 1.0×	163 2.3×	47	787
Zhengzhe Xiang China	13	544 1.1×	412 1.1×	138 0.6×	106 1.1×	137 2.0×	34	752
Zohreh Sanaei Malaysia	11	887 1.8×	561 1.5×	327 1.5×	161 1.6×	136 1.9×	13	1.1k
Jinliang Xu China	10	690 1.4×	362 0.9×	207 0.9×	101 1.0×	128 1.8×	14	847
Daniel Díaz Spain	15	207 0.4×	177 0.5×	305 1.4×	41 0.4×	261 3.7×	50	701
Monique Morrow United States	8	557 1.1×	323 0.8×	161 0.7×	58 0.6×	68 1.0×	16	728
Jong Sou Park South Korea	15	562 1.1×	371 1.0×	76 0.3×	46 0.5×	207 3.0×	70	773
Chien‐Chung Shen United States	11	530 1.1×	168 0.4×	331 1.5×	32 0.3×	86 1.2×	33	737

Countries citing papers authored by Michael Borkowski

Since Specialization

Citations

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

Fields of papers citing papers by Michael Borkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Borkowski

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

All Works

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20 of 20 papers shown

1.

Schulte, Stefan, et al.. (2020). Characterizing Efficiency Optimizations in Solidity Smart Contracts. 281–290. 26 indexed citations

2.

Borkowski, Michael, et al.. (2020). A Framework for Assessing and Selecting Blockchains at Runtime. 106–113. 4 indexed citations

3.

Sigwart, Marten, et al.. (2020). A secure and extensible blockchain-based data provenance framework for the Internet of Things. Personal and Ubiquitous Computing. 28(1). 309–323. 29 indexed citations

4.

Friedrich, Max, et al.. (2020). A Multi-UAS Platform to Accelerate Situation Assessment in First Response Missions – Identification of User Needs and System Requirements Using Design Thinking. elib (German Aerospace Center). 15. 1–7. 6 indexed citations

5.

Borkowski, Michael, et al.. (2019). Dextt: Deterministic Cross-Blockchain Token Transfers. reposiTUm (TU Wien). 55 indexed citations

6.

Karagiannis, Vasileios, et al.. (2019). Edge computing with peer to peer interactions. 46–50. 10 indexed citations

7.

Borkowski, Michael, Christoph Hochreiner, & Stefan Schulte. (2019). Minimizing cost by reducing scaling operations in distributed stream processing. Proceedings of the VLDB Endowment. 12(7). 724–737. 10 indexed citations

8.

Sigwart, Marten, et al.. (2019). Blockchain-based Data Provenance for the Internet of Things. 1–8. 34 indexed citations

9.

Karagiannis, Vasileios, et al.. (2019). Edge computing with peer to peer interactions: use cases and impact. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Skarlat, Olena, Matteo Nardelli, Stefan Schulte, Michael Borkowski, & Philipp Leitner. (2017). Optimized IoT service placement in the fog. Service Oriented Computing and Applications. 11(4). 427–443. 253 indexed citations breakdown →

11.

Borkowski, Michael, Walid Fdhila, Matteo Nardelli, Stefanie Rinderle‐Ma, & Stefan Schulte. (2017). Event-based failure prediction in distributed business processes. Information Systems. 81. 220–235. 30 indexed citations

12.

Hochreiner, Christoph, et al.. (2016). Bridging gaps in cloud manufacturing with 3D printing.. WU Research. 1623–1626. 2 indexed citations

13.

Borkowski, Michael, Stefan Schulte, & Christoph Hochreiner. (2016). Predicting cloud resource utilization. 37–42. 41 indexed citations

14.

Skarlat, Olena, Michael Borkowski, & Stefan Schulte. (2016). Towards a methodology and instrumentation toolset for cloud manufacturing. 10. 1–4. 5 indexed citations

15.

Skarlat, Olena, Stefan Schulte, Michael Borkowski, & Philipp Leitner. (2016). Resource Provisioning for IoT Services in the Fog. 32–39. 143 indexed citations

16.

Borkowski, Michael, Olena Skarlat, Stefan Schulte, & Schahram Dustdar. (2016). Prediction-Based Prefetch Scheduling in Mobile Service Applications. 1. 41–48. 2 indexed citations

17.

Borkowski, Michael, et al.. (2003). Microwave module packaging. 1503–1506. 1 indexed citations

18.

Borkowski, Michael, et al.. (2002). Transmit/receive modules. IEEE Transactions on Microwave Theory and Techniques. 50(3). 827–834. 81 indexed citations

19.

Platzker, A., et al.. (2002). A 7.4 to 8.4 GHz high efficiency PHEMT three-stage power amplifier. 2. 947–950. 15 indexed citations

20.

Lyman, P. S., et al.. (2002). A Highly Uniform, and High Throughput, Double Selective pHEMT Process Using an All Wet Etch Chemistry.

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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