Nicol N. Schraudolph
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Signal Processing top 5%
- Co-authors
- S. V. N. VishwanathanRichard K. BelewKarsten BorgwardtRisi KondorSimon GünterPetros KoumoutsakosDirk BücheTerrence J. Sejnowski
- Topics
- Neural Networks and Applications (15 papers)Blind Source Separation Techniques (9 papers)Sparse and Compressive Sensing Techniques (8 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- SwitzerlandAustraliaUnited States
In The Last Decade
Nicol N. Schraudolph
43 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 541
- Molecular Biology 425
- Computational Theory and Mathematics 424
- Signal Processing 231
Countries citing papers authored by Nicol N. Schraudolph
This map shows the geographic impact of Nicol N. Schraudolph'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 Nicol N. Schraudolph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicol N. Schraudolph more than expected).
Fields of papers citing papers by Nicol N. Schraudolph
This network shows the impact of papers produced by Nicol N. Schraudolph. 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 Nicol N. Schraudolph. The network helps show where Nicol N. Schraudolph may publish in the future.
Co-authorship network of co-authors of Nicol N. Schraudolph
This figure shows the co-authorship network connecting the top 25 collaborators of Nicol N. Schraudolph. A scholar is included among the top collaborators of Nicol N. Schraudolph 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 Nicol N. Schraudolph. Nicol N. Schraudolph is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 8 | |
| 3 | 276 | |
| 4 | A Quasi-Newton Approach to Nonsmooth Convex Optimization | 2 |
| 5 | 2 | |
| 6 | 75 | |
| 7 | 3D Hand Tracking in a Stochastic Approximation Setting | 1 |
| 8 | A stochastic quasi-Newton method for online convex optimization | 155 |
| 9 | 23 | |
| 10 | 44 | |
| 11 | Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation | 18 |
| 12 | 3D hand tracking by rapid stochastic gradient descent using a skinning model | 37 |
| 13 | 20 | |
| 14 | Combining Conjugate Direction Methods with Stochastic Approximation of Gradients | 24 |
| 15 | Empirical Entropy Manipulation for Real-World Problems | 50 |
| 16 | Plasticity-Mediated Competitive Learning | 0 |
| 17 | Temporal Difference Learning of Position Evaluation in the Game of Go | 61 |
| 18 | Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain | 18 |
| 19 | 38 | |
| 20 | Competitive Anti-Hebbian Learning of Invariants | 18 |
About Nicol N. Schraudolph
Nicol N. Schraudolph is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Blind Source Separation Techniques (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computational Theory and Mathematics (424 citations) and Computer Vision and Pattern Recognition (541 citations). Nicol N. Schraudolph has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include S. V. N. Vishwanathan, Richard K. Belew, Karsten Borgwardt, Risi Kondor, Simon Günter, Petros Koumoutsakos, Dirk Büche, Terrence J. Sejnowski, Jin Yu and Kevin Murphy. Their work appears in journals such as Cell, Neural Computation and Machine Learning.
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.