Felix A. Gers

10.6k total citations · 2 hit papers
21 papers, 6.3k citations indexed

About

Felix A. Gers is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Felix A. Gers has authored 21 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Felix A. Gers's work include Neural Networks and Applications (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (6 papers). Felix A. Gers is often cited by papers focused on Neural Networks and Applications (8 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (6 papers). Felix A. Gers collaborates with scholars based in Switzerland, United States and Germany. Felix A. Gers's co-authors include Jürgen Schmidhuber, Fred Cummins, Juan Antonio Pérez-Ortiz, Douglas Eck, Alexander Löser, Sebastian Arnold, Philippe Cudré-Mauroux, Hugo de Garis, Benjamin Winter and Juergen Schmidhuber and has published in prestigious journals such as Neural Computation, Neural Networks and Applied Mathematics and Computation.

In The Last Decade

Felix A. Gers

19 papers receiving 6.0k 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.

Learning to Forget: Continual Prediction with LSTM

2000 3.6k citations Felix A. Gers, Jürgen Schmidhuber et al. Neural Computation profile →
Learning to forget: continual prediction with LSTM

1999 1.5k citations Felix A. Gers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felix A. Gers Switzerland	10	2.4k	1.1k	881	822	532	21	6.3k
Jan Koutník Switzerland	10	2.0k 0.8×	914 0.8×	869 1.0×	664 0.8×	357 0.7×	19	5.0k
Bas R. Steunebrink Netherlands	7	1.7k 0.7×	848 0.8×	719 0.8×	533 0.6×	363 0.7×	16	4.6k
Klaus Greff United States	10	1.8k 0.7×	873 0.8×	893 1.0×	555 0.7×	361 0.7×	15	4.8k
Shanghang Zhang China	21	1.9k 0.8×	972 0.9×	1.1k 1.2×	946 1.2×	650 1.2×	86	4.8k
James Bergstra Canada	18	4.2k 1.8×	1.2k 1.0×	2.1k 2.4×	902 1.1×	442 0.8×	25	10.1k
P. Simard United States	25	3.5k 1.5×	1.1k 0.9×	2.4k 2.7×	893 1.1×	381 0.7×	56	9.4k
Fred Cummins Ireland	21	1.7k 0.7×	674 0.6×	507 0.6×	719 0.9×	349 0.7×	81	5.0k
Ryszard Tadeusiewicz Poland	27	2.8k 1.2×	1.1k 0.9×	1.2k 1.4×	647 0.8×	267 0.5×	241	8.0k
Vladimir Cherkassky United States	30	2.5k 1.0×	744 0.7×	1.3k 1.5×	587 0.7×	378 0.7×	128	6.9k
Donald F. Specht United States	11	2.6k 1.1×	1.0k 0.9×	1.0k 1.2×	614 0.7×	396 0.7×	20	7.2k

Countries citing papers authored by Felix A. Gers

Since Specialization

Citations

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

Fields of papers citing papers by Felix A. Gers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix A. Gers

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

1.

Nejdl, Wolfgang, et al.. (2022). This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text. 172–184. 1 indexed citations

2.

Gers, Felix A., et al.. (2020). Is Language Modeling Enough? Evaluating Effective Embedding Combinations. Language Resources and Evaluation. 4739–4748.

3.

Winter, Benjamin, et al.. (2020). VisBERT: Hidden-State Visualizations for Transformers. 207–211. 20 indexed citations

4.

Brendel, Karl, et al.. (2020). TrainX – Named Entity Linking with Active Sampling and Bi-Encoders. 64–69. 1 indexed citations

5.

Arnold, Sebastian, et al.. (2019). SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. Transactions of the Association for Computational Linguistics. 7. 169–184. 39 indexed citations

6.

Löser, Alexander, et al.. (2019). IDEL: In-Database Neural Entity Linking. UvA-DARE (University of Amsterdam). 2 indexed citations

7.

Pérez-Ortiz, Juan Antonio, Felix A. Gers, Douglas Eck, & Jürgen Schmidhuber. (2003). Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks. 16(2). 241–250. 70 indexed citations

8.

Garis, Hugo de, et al.. (2003). ATR's artificial brain ("CAM-Brain") project: A sample of what individual "CoDi-1 Bit" model evolved neural net modules can do with digital and analog I/O. 12. 102–110. 4 indexed citations

9.

Garis, Hugo de, et al.. (2003). ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do. 1979–1987. 1 indexed citations

10.

Gers, Felix A., et al.. (2001). LSTM recurrent networks learn simple context-free and context-sensitive languages. IEEE Transactions on Neural Networks. 12(6). 1333–1340. 445 indexed citations

11.

Gers, Felix A. & Jürgen Schmidhuber. (2000). Recurrent nets that time and count. 189–194 vol.3. 385 indexed citations

12.

Gers, Felix A., Jürgen Schmidhuber, & Fred Cummins. (2000). Learning to Forget: Continual Prediction with LSTM. Neural Computation. 12(10). 2451–2471. 3604 indexed citations breakdown →

13.

Garis, Hugo de, et al.. (2000). Building an artificial brain using an FPGA based CAM-Brain Machine. Applied Mathematics and Computation. 111(2-3). 163–192. 23 indexed citations

14.

Garis, Hugo de, et al.. (1999). ATR's artificial brain (CAM-Brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do with digital and analog I/O. 1233–1233. 1 indexed citations

15.

Gers, Felix A.. (1999). Learning to forget: continual prediction with LSTM. 1999. 850–855. 1490 indexed citations breakdown →

16.

Cummins, Fred, Felix A. Gers, & Juergen Schmidhuber. (1999). Automatic discrimination among languages based on prosody alone. 4 indexed citations

17.

Cummins, Fred, Felix A. Gers, & Juergen Schmidhuber. (1999). Comparing Prosody Across Many Languages. SUPSI ARIS. 7 indexed citations

18.

Cummins, Fred, Felix A. Gers, & Jürgen Schmidhuber. (1999). Language identification from prosody without explicit features. 371–374. 16 indexed citations

19.

Garis, Hugo de, et al.. (1998). “CAM-brain” ATR's billion neuron artificial brain project: A three-year progress report. Artificial Life and Robotics. 2(2). 56–61. 7 indexed citations

20.

Gers, Felix A., et al.. (1997). CoDi-1Bit : A Simplified Cellular Automata Based Neuron Model. 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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