Michael Kopp

887 total citations · 1 hit paper
14 papers, 293 citations indexed

About

Michael Kopp is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Kopp has authored 14 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Kopp's work include Flood Risk Assessment and Management (2 papers), Remote-Sensing Image Classification (1 paper) and Automated Road and Building Extraction (1 paper). Michael Kopp is often cited by papers focused on Flood Risk Assessment and Management (2 papers), Remote-Sensing Image Classification (1 paper) and Automated Road and Building Extraction (1 paper). Michael Kopp collaborates with scholars based in Austria, Germany and Spain. Michael Kopp's co-authors include Pedram Ghamisi, David P. Kreil, Yonghao Xu, Omid Ghorbanzadeh, Sepp Hochreiter, Thomas Adler, Günter Klambauer, Weikang Yu, Lukas Gruber and Philipp Seidl and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Michael Kopp

12 papers receiving 281 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.

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

2022 115 citations Omid Ghorbanzadeh, Yonghao Xu et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kopp Austria	6	105	94	61	58	40	14	293
T. Hemalatha India	10	72 0.7×	99 1.1×	21 0.3×	77 1.3×	33 0.8×	39	364
S. Prabu India	9	38 0.4×	21 0.2×	75 1.2×	20 0.3×	23 0.6×	46	222
Yunsheng Li United States	8	161 1.5×	10 0.1×	161 2.6×	77 1.3×	20 0.5×	11	367
Khwairakpam Amitab India	7	68 0.6×	112 1.2×	136 2.2×	85 1.5×	33 0.8×	14	342
Mauricio Orozco‐Alzate Colombia	11	121 1.2×	15 0.2×	46 0.8×	9 0.2×	13 0.3×	45	284
Liang-Hao Huang China	9	35 0.3×	75 0.8×	28 0.5×	43 0.7×	24 0.6×	24	361
Amir Seyed Danesh Malaysia	9	61 0.6×	29 0.3×	16 0.3×	112 1.9×	34 0.8×	23	367
Ce Zhou China	3	106 1.0×	10 0.1×	92 1.5×	14 0.2×	31 0.8×	11	387
Jessica Block United States	9	19 0.2×	15 0.2×	29 0.5×	59 1.0×	12 0.3×	28	273

Countries citing papers authored by Michael Kopp

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kopp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kopp

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

14 of 14 papers shown

Chang, Shizhen, Michael Kopp, Pedram Ghamisi, & Bo Du. (2024). Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations

Auer, Andreas, J. Brandstetter, Sepp Hochreiter, et al.. (2024). xLSTM: Extended Long Short-Term Memory. 107547–107603. 1 indexed citations

Xin, Yanan, Cheng Fu, Nina Wiedemann, et al.. (2023). Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12821–12830. 5 indexed citations

Xu, Yonghao, Weikang Yu, Pedram Ghamisi, Michael Kopp, & Sepp Hochreiter. (2023). Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Transactions on Image Processing. 32. 5737–5750. 32 indexed citations

Krenn, Mario, Lorenzo Buffoni, Bruno Coutinho, et al.. (2023). Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence. 5(11). 1326–1335. 36 indexed citations

Chang, Shizhen, Michael Kopp, & Pedram Ghamisi. (2022). Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 7 indexed citations

Ghorbanzadeh, Omid, Yonghao Xu, Pedram Ghamisi, Michael Kopp, & David P. Kreil. (2022). Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 115 indexed citations breakdown →

Kopp, Michael, Yang Liu, Jingwei Xu, et al.. (2021). Traffic4cast at NeurIPS 2020 - yet more on the unreasonable effectiveness of gridded geo-spatial processes. 325–343. 3 indexed citations

Gruca, Aleksandra, Xavier Calbet, Pilar Rípodas, et al.. (2021). High-resolution multi-channel weather forecasting – First insights on transfer learning from the Weather4cast Competitions 2021. 2021 IEEE International Conference on Big Data (Big Data). 5750–5757. 5 indexed citations

10.

Ramsauer, Hubert, Johannes M. Lehner, Philipp Seidl, et al.. (2021). Hopfield Networks is All You Need. 77 indexed citations

11.

Gruca, Aleksandra, Pilar Rípodas, Christian Briese, et al.. (2021). CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. 4878–4879. 7 indexed citations

12.

Kopp, Michael, Yang Liu, Jingwei Xu, et al.. (2020). Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.. 325–343. 1 indexed citations

13.

Kreil, David P., et al.. (2019). The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019.. QRU Quaderns de Recerca en Urbanisme. 123. 232–241.

14.

Kopp, Michael. (2004). Fr�chet algebras of finite type. Archiv der Mathematik. 83(3). 1 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.

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