Yaron Singer

3.3k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

Yaron Singer is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Yaron Singer has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 17 papers in Computer Networks and Communications. Recurrent topics in Yaron Singer's work include Auction Theory and Applications (15 papers), Machine Learning and Algorithms (12 papers) and Complexity and Algorithms in Graphs (12 papers). Yaron Singer is often cited by papers focused on Auction Theory and Applications (15 papers), Machine Learning and Algorithms (12 papers) and Complexity and Algorithms in Graphs (12 papers). Yaron Singer collaborates with scholars based in United States, Israel and Switzerland. Yaron Singer's co-authors include Richard H. Byrd, Samantha Hansen, Jorge Nocedal, John Platt, Daphne Koller, Sam T. Roweis, Eric Balkanski, Lior Seeman, Michael Schapira and Naftali Tishby and has published in prestigious journals such as Sensors, Operations Research and Journal of the ACM.

In The Last Decade

Yaron Singer

54 papers receiving 1.6k citations

Hit Papers

A Stochastic Quasi-Newton Method for Large-Scale Optimiza... 2016 2026 2019 2022 2016 50 100 150 200

Peers

Yaron Singer
Comparison fields: 5 of 121
  • Artificial Intelligence 683
  • Management Science and Operations Research 648
  • Computer Science Applications 388
  • Computer Networks and Communications 370
  • Statistical and Nonlinear Physics 267
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Citations per field, relative to Yaron Singer
Yaron Singer · 1×
Citations per year, relative to Yaron Singer
Yaron Singer · 1×

Countries citing papers authored by Yaron Singer

Since Specialization
Citations

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

Fields of papers citing papers by Yaron Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaron Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Yaron Singer. A scholar is included among the top collaborators of Yaron Singer 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 Yaron Singer. Yaron Singer 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
# Work Indexed citations
1
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
84
2
Learning Diffusion using Hyperparameters
11
3
Learning to Optimize Combinatorial Functions.
6
4
Optimization for Approximate Submodularity
1
5
Approximation Guarantees for Adaptive Sampling.
3
6
The Importance of Communities for Learning to Influence
7
7
Robust Guarantees of Stochastic Greedy Algorithms.
5
8
Minimizing a Submodular Function from Samples
5
9
The Sample Complexity of Optimizing a Convex Function
3
10
The Power of Optimization from Samples
15
11
Information-theoretic lower bounds for convex optimization with erroneous oracles
7
12
Learnability of influence in networks
24
13
Pricing tasks in online labor markets
25
14
Posting Prices with Unknown Distributions.
14
15 30
16 199
17 71
18
A Novel Auto-Zero Servo-Inclinometer
1
19 39
20 15

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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