Hans-Martin Heyn

593 total citations
21 papers, 365 citations indexed

About

Hans-Martin Heyn is a scholar working on Atmospheric Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Hans-Martin Heyn has authored 21 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Hans-Martin Heyn's work include Arctic and Antarctic ice dynamics (7 papers), Software Engineering Research (4 papers) and Cryospheric studies and observations (3 papers). Hans-Martin Heyn is often cited by papers focused on Arctic and Antarctic ice dynamics (7 papers), Software Engineering Research (4 papers) and Cryospheric studies and observations (3 papers). Hans-Martin Heyn collaborates with scholars based in Sweden, Norway and Germany. Hans-Martin Heyn's co-authors include Dirk Uwe Sauer, Christian Fleischer, Wladislaw Waag, Roger Skjetne, Eric Knauss, Mogens Blanke, Sveinung Løset, Raed Lubbad, Patrizio Pelliccione and Wenjun Lü and has published in prestigious journals such as Journal of Power Sources, IEEE Software and Journal of Systems and Software.

In The Last Decade

Hans-Martin Heyn

20 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans-Martin Heyn Sweden 7 269 245 63 39 25 21 365
Yandong Hou China 8 175 0.7× 131 0.5× 95 1.5× 39 1.0× 104 4.2× 24 320
Xiaochi Li China 7 109 0.4× 210 0.9× 86 1.4× 10 0.3× 10 0.4× 12 350
Yakup Özkazanç Türkiye 7 168 0.6× 269 1.1× 83 1.3× 12 0.3× 7 0.3× 21 369
Huajun Zhang Singapore 11 45 0.2× 259 1.1× 122 1.9× 11 0.3× 66 2.6× 20 343
Matthew T Lawder United States 5 460 1.7× 541 2.2× 286 4.5× 27 0.7× 11 0.4× 8 751
Yongqiang Liu China 13 31 0.1× 235 1.0× 115 1.8× 6 0.2× 26 1.0× 51 395
Jan Christian Meyer Norway 8 101 0.4× 167 0.7× 39 0.6× 7 0.2× 6 0.2× 24 267
Fulin Fan United Kingdom 12 55 0.2× 260 1.1× 130 2.1× 3 0.1× 7 0.3× 45 406
Xiao Kou United States 10 47 0.2× 360 1.5× 174 2.8× 2 0.1× 14 0.6× 36 429
Geng Zhang China 11 71 0.3× 37 0.2× 276 4.4× 5 0.1× 24 1.0× 31 338

Countries citing papers authored by Hans-Martin Heyn

Since Specialization
Citations

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

Fields of papers citing papers by Hans-Martin Heyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-Martin Heyn. 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 Hans-Martin Heyn. The network helps show where Hans-Martin Heyn may publish in the future.

Co-authorship network of co-authors of Hans-Martin Heyn

This figure shows the co-authorship network connecting the top 25 collaborators of Hans-Martin Heyn. A scholar is included among the top collaborators of Hans-Martin Heyn 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 Hans-Martin Heyn. Hans-Martin Heyn 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.
2.
Heyn, Hans-Martin, Gregory Gay, Jennifer Horkoff, et al.. (2024). Requirements and software engineering for automotive perception systems: an interview study. Requirements Engineering. 29(1). 25–48. 4 indexed citations
3.
Heyn, Hans-Martin, et al.. (2024). Automated Configuration Synthesis for Machine Learning Models: A Git-Based Requirement and Architecture Management System. Chalmers Research (Chalmers University of Technology). 488–491.
4.
Heyn, Hans-Martin, Eric Knauss, & Patrizio Pelliccione. (2023). A compositional approach to creating architecture frameworks with an application to distributed AI systems. Journal of Systems and Software. 198. 111604–111604. 10 indexed citations
5.
Heyn, Hans-Martin, et al.. (2023). Identifying and managing data quality requirements: a design science study in the field of automated driving. Software Quality Journal. 32(2). 313–360. 8 indexed citations
6.
Heyn, Hans-Martin, et al.. (2023). Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. KTH Publication Database DiVA (KTH Royal Institute of Technology). 13–24. 3 indexed citations
7.
Heyn, Hans-Martin & Roger Skjetne. (2022). Fast onboard detection of ice drift changes under stationkeeping in ice. Cold Regions Science and Technology. 196. 103483–103483. 2 indexed citations
8.
Heyn, Hans-Martin & Eric Knauss. (2022). Structural causal models as boundary objects in AI system development. 43–45. 1 indexed citations
9.
Bencomo, Nelly, Jin Guo, Rachel Harrison, Hans-Martin Heyn, & Tim Menzies. (2021). The Secret to Better AI and Better Software (Is Requirements Engineering). IEEE Software. 39(1). 105–110. 4 indexed citations
10.
Bergenhem, Carl, et al.. (2020). On Perception Safety Requirements and Multi Sensor Systems for Automated Driving Systems. SAE International Journal of Advances and Current Practices in Mobility. 2(6). 3035–3043. 3 indexed citations
11.
Heyn, Hans-Martin, Mogens Blanke, & Roger Skjetne. (2019). Ice Condition Assessment Using Onboard Accelerometers and Statistical Change Detection. IEEE Journal of Oceanic Engineering. 45(3). 898–914. 13 indexed citations
12.
Heyn, Hans-Martin & Roger Skjetne. (2018). Time-frequency analysis of acceleration data from ship-ice interaction events. Cold Regions Science and Technology. 156. 61–74. 11 indexed citations
13.
Lü, Wenjun, Hans-Martin Heyn, Raed Lubbad, & Sveinung Løset. (2018). A large scale simulation of floe-ice fractures and validation against full-scale scenario. International Journal of Naval Architecture and Ocean Engineering. 10(3). 393–402. 11 indexed citations
14.
Heyn, Hans-Martin, et al.. (2017). Distributed motion sensing on ships. BIBSYS Brage (BIBSYS (Norway)). 1 indexed citations
15.
Lü, Wenjun, Hans-Martin Heyn, Raed Lubbad, & Sveinung Løset. (2017). Large scale simulations of floe-ice fractures and validation against full-scale data. 2 indexed citations
16.
Heyn, Hans-Martin, et al.. (2017). A System for Automated Vision-Based Sea-Ice Concentration Detection and Floe-Size Distribution Indication From an Icebreaker. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 6 indexed citations
17.
18.
Fleischer, Christian, Wladislaw Waag, Hans-Martin Heyn, & Dirk Uwe Sauer. (2014). On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models part 2. Parameter and state estimation. Journal of Power Sources. 262. 457–482. 120 indexed citations
19.
Fleischer, Christian, Wladislaw Waag, Hans-Martin Heyn, & Dirk Uwe Sauer. (2014). On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models. Journal of Power Sources. 260. 276–291. 154 indexed citations
20.

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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