Felix Last

1.2k total citations · 1 hit paper
7 papers, 870 citations indexed

About

Felix Last is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Felix Last has authored 7 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Felix Last's work include VLSI and Analog Circuit Testing (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Felix Last is often cited by papers focused on VLSI and Analog Circuit Testing (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Felix Last collaborates with scholars based in Germany, Italy and United Kingdom. Felix Last's co-authors include Fernando Bação, Georgios Douzas, Moin Nabi, Mahdyar Ravanbakhsh, Volker Tresp, Tassilo Klein, Kayhan Batmanghelich, Ulf Schlichtmann, Félix A. Miranda and Rainer Buchty and has published in prestigious journals such as Information Sciences, IEEE Transactions on Device and Materials Reliability and IEEE Transactions on Power Apparatus and Systems.

In The Last Decade

Felix Last

6 papers receiving 839 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.

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

2018 805 citations Georgios Douzas, Fernando Bação et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felix Last Germany	4	621	242	108	89	72	7	870
Enislay Ramentol Germany	8	576 0.9×	230 1.0×	103 1.0×	64 0.7×	90 1.3×	10	796
Md. Monirul Islam India	5	706 1.1×	304 1.3×	88 0.8×	76 0.9×	96 1.3×	13	861
Sukarna Barua Bangladesh	5	702 1.1×	304 1.3×	90 0.8×	76 0.9×	97 1.3×	7	891
Haibo He United States	9	637 1.0×	279 1.2×	98 0.9×	49 0.6×	72 1.0×	15	1.1k
Biswajit Purkayastha India	16	507 0.8×	126 0.5×	116 1.1×	84 0.9×	83 1.2×	68	849
Xibei Yang China	11	543 0.9×	149 0.6×	116 1.1×	35 0.4×	75 1.0×	26	693
César García‐Osorio Spain	22	867 1.4×	189 0.8×	208 1.9×	91 1.0×	158 2.2×	56	1.3k
Şeyda Ertekin United States	12	549 0.9×	207 0.9×	132 1.2×	27 0.3×	78 1.1×	32	912
Theo G. Swart South Africa	17	495 0.8×	308 1.3×	53 0.5×	93 1.0×	66 0.9×	87	1.1k
Miriam Seoane Santos Portugal	11	479 0.8×	109 0.5×	68 0.6×	110 1.2×	54 0.8×	24	835

Countries citing papers authored by Felix Last

Since Specialization

Citations

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

Fields of papers citing papers by Felix Last

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Last

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

7 of 7 papers shown

1.

Last, Felix, et al.. (2024). Machine Learning for SRAM Stability Analysis. 1–5.

2.

Pompl, T., et al.. (2023). Predicting Failure Distributions of SRAM Arrays by Using Extreme Value Statistic, Bit Cell Simulation, and Machine Learning. IEEE Transactions on Device and Materials Reliability. 23(3). 363–369. 1 indexed citations

3.

Last, Felix & Ulf Schlichtmann. (2021). Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. 8. 1–6. 6 indexed citations

4.

Ravanbakhsh, Mahdyar, Felix Last, Tassilo Klein, et al.. (2020). Human-Machine Collaboration for Medical Image Segmentation. PubMed. 2020. 1040–1044. 52 indexed citations

5.

Last, Felix & Ulf Schlichtmann. (2020). Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. 123–128. 4 indexed citations

6.

Douzas, Georgios, Fernando Bação, & Felix Last. (2018). Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. Information Sciences. 465. 1–20. 805 indexed citations breakdown →

7.

Last, Felix, et al.. (1971). The Underground HV DC Link for the Transmission of Bulk Power from the Thames Estuary to the Centre of London. IEEE Transactions on Power Apparatus and Systems. PAS-90(4). 1893–1901. 2 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