Isabel Valera

37 papers receiving 906 citations

Isabel Valera's Hit Papers

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment 2016 · 236 citations
2360+3+6Years since publication50100150200

Peers

Isabel Valera
Comparison fields: 5 of 103
  • Safety Research 311
  • Health Informatics 39
  • Artificial Intelligence 588
  • Management Science and Operations Research 71
  • Statistics and Probability 45
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Toshihiro Kamishima Japan
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Countries citing papers authored by Isabel Valera

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Valera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Isabel Valera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isabel Valera Line = papers co-authored together Isabel Valera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Hit paper breakdown →
2016236
2 2020160
3 2021115
4
Fairness Constraints: A Flexible Approach for Fair Classification
201996
5 201949
6 201741
7
Learning and Forecasting Opinion Dynamics in Social Networks
201635
8
Shaping Social Activity by Incentivizing Users.
201421
9 202219
10 201716
11 201516
12
Fairness Constraints: A Mechanism for Fair Classification
201515
13 201414
14 202113
15 201710
16
Infinite factorial dynamical model
201510
17
Fair Decisions Despite Imperfect Predictions
20209
18
Bayesian Nonparametric Modeling of Suicide Attempts
20128
19 20188
20
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
20207

About Isabel Valera

Isabel Valera is a scholar working on Artificial Intelligence, Safety Research, Signal Processing, Statistics and Probability and Computer Networks and Communications, having authored 41 papers that have together received 936 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (11 papers), Ethics and Social Impacts of AI (8 papers), Explainable Artificial Intelligence (XAI) (6 papers), Statistical Methods and Inference (4 papers), Bayesian Modeling and Causal Inference (4 papers), Diffusion and Search Dynamics (4 papers), Point processes and geometric inequalities (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Safety Research (311 citations), Health Informatics (39 citations), Artificial Intelligence (588 citations), Management Science and Operations Research (71 citations) and Statistics and Probability (45 citations). Isabel Valera has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Manuel Gomez-Rodriguez, Krishna P. Gummadi, Muhammad Bilal Zafar, Zoubin Ghahramani, Bernhard Schölkopf, Amir-Hossein Karimi, Pablo M. Olmos, Alfredo Nazábal, Adrian Weller and Francisco J. R. Ruiz. Their work appears in journals such as Journal of Machine Learning Research, EURASIP Journal on Wireless Communications and Networking, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers in Human Behavior and PLoS Computational Biology.

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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