Michael Guckert

558 total citations
36 papers, 288 citations indexed

About

Michael Guckert is a scholar working on Artificial Intelligence, Information Systems and Automotive Engineering. According to data from OpenAlex, Michael Guckert has authored 36 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Automotive Engineering. Recurrent topics in Michael Guckert's work include Transportation and Mobility Innovations (7 papers), ECG Monitoring and Analysis (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Michael Guckert is often cited by papers focused on Transportation and Mobility Innovations (7 papers), ECG Monitoring and Analysis (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Michael Guckert collaborates with scholars based in Germany, United Kingdom and United States. Michael Guckert's co-authors include Simon T. Powers, Neil Urquhart, Gabriele Taentzer, Jeremy Pitt, Simon Wells, Till Keller, Peter R. Lewis, The Anh Han, Péter András and Cédric Perret and has published in prestigious journals such as European Heart Journal, Information Fusion and Biological Chemistry.

In The Last Decade

Michael Guckert

30 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Guckert Germany	8	70	44	39	39	38	36	288
Philip Asare United States	10	38 0.5×	35 0.8×	14 0.4×	30 0.8×	12 0.3×	36	308
Amro Najjar Luxembourg	9	170 2.4×	46 1.0×	2 0.1×	49 1.3×	22 0.6×	44	358
Michele Scalera Italy	12	81 1.2×	4 0.1×	18 0.5×	82 2.1×	13 0.3×	26	282
Siyu Yu China	4	78 1.1×	19 0.4×	4 0.1×	22 0.6×	4 0.1×	9	270
Mohd Zaliman Mohd Yusoff Malaysia	9	64 0.9×	7 0.2×	3 0.1×	29 0.7×	22 0.6×	28	230
Ella Peltonen Finland	13	58 0.8×	3 0.1×	5 0.1×	80 2.1×	33 0.9×	38	488
Ashraf Gaffar United States	8	41 0.6×	3 0.1×	6 0.2×	57 1.5×	8 0.2×	31	220
Wan Ju Kang South Korea	3	78 1.1×	6 0.1×	51 1.3×	6 0.2×	3 0.1×	6	194
Caslon Chua Australia	9	67 1.0×	5 0.1×	5 0.1×	58 1.5×	5 0.1×	47	318
Haya Elayan United Arab Emirates	7	162 2.3×	3 0.1×	7 0.2×	96 2.5×	5 0.1×	8	484

Countries citing papers authored by Michael Guckert

Since Specialization

Citations

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

Fields of papers citing papers by Michael Guckert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Guckert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Guckert. A scholar is included among the top collaborators of Michael Guckert 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 Guckert. Michael Guckert 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

Zimmer, Gisela, Till Keller, Linda Johnson, et al.. (2024). Association of daily physical activity with pulmonary artery pressure in HFpEF and HFmrEF NYHA class III patients: a pilot trial—feasibility and first results. Clinical Research in Cardiology. 115(3). 435–448.

Keller, Till, et al.. (2023). SIGNed explanations: Unveiling relevant features by reducing bias. Information Fusion. 99. 101883–101883. 1 indexed citations

Powers, Simon T., O. Linnyk, Michael Guckert, et al.. (2023). The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI. IEEE Technology and Society Magazine. 42(4). 95–106. 10 indexed citations

Schulze, Christian, et al.. (2023). A Hybrid AI-Based Method for ICD Classification of Medical Documents. Studies in health technology and informatics. 305. 1–4. 1 indexed citations

Schulze, Christian, et al.. (2022). An Ontology-based transfer learning method improving classification of medical documents. 2846. 407–412. 2 indexed citations

Urquhart, Neil, et al.. (2022). An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos. Empirical Software Engineering. 27(7). 180–180. 6 indexed citations

Powers, Simon T., et al.. (2022). Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science. 3(5). 2 indexed citations

Guckert, Michael, et al.. (2022). EvolveDB. 61–65. 1 indexed citations

Powers, Simon T., et al.. (2021). An overview of agent-based traffic simulators. Research Output (Edinburgh Napier University). 56 indexed citations

10.

Hamm, Christian W., et al.. (2021). Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis. Frontiers in Digital Health. 2. 584555–584555. 25 indexed citations

11.

Keller, Till, et al.. (2021). A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms. European Heart Journal. 42(Supplement_1). 1 indexed citations

12.

Keller, Till, et al.. (2020). Detecting myocardial scar using electrocardiogram data and deep neural networks. Biological Chemistry. 402(8). 911–923. 21 indexed citations

13.

Urquhart, Neil, et al.. (2020). Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation.. Research Output (Edinburgh Napier University). 141–156. 1 indexed citations

14.

Beck, Markus, et al.. (2020). Optimizing the Energy Consumption of Neural Networks. 2312–2319.

15.

Schulze, Christian, et al.. (2020). Term Extraction from Medical Documents Using Word Embeddings. 328–333. 4 indexed citations

16.

Guckert, Michael. (2019). Simulating Dynamic Vehicle Routing Problems with Athos. 7–7. 1 indexed citations

17.

Guckert, Michael, et al.. (2019). Simulating Dynamic Vehicle Routing Problems With Athos. Research Output (Edinburgh Napier University). 296–302. 1 indexed citations

18.

András, Péter, Lukas Esterle, Michael Guckert, et al.. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technology and Society Magazine. 37(4). 76–83. 83 indexed citations

19.

Guckert, Michael & Gabriele Taentzer. (2015). PLATTFORMUNABHÄNGIGE ENTWICKLUNG MOBILER ANWENDUNGEN MIT AUGMENTED REALITY-FUNKTIONALITÄT. 5–5. 1 indexed citations

20.

Guckert, Michael, et al.. (2014). AGADE how Individual guidance leads to group behaviour and how this can be simulated.. Research Output (Edinburgh Napier University). 234–250.

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