Hanna Wallach

12.6k citations

67 papers · 4.9k indexed · 8 hit papers · h-index 26

Impact in

General Social Sciences top 0.01%
- Computational and Text Analysis Methods
Health Informatics top 0.5%

Papers in

General Social Sciences 7
- Computational and Text Analysis Methods 7
Safety Research 17
- Ethics and Social Impacts of AI 17

Co-authors: David Mimno Jennifer Wortman Vaughan Andrew McCallum Edmund M. Talley Iain Murray Ruslan Salakhutdinov Ming Yin Michael Madaio
Journals: Proceedings of the ACM on Human-Computer Interaction (3 papers)Communications of the ACM (2 papers)Child Abuse & Neglect (1 paper)Machine Learning (1 paper)The Journal of Politics (1 paper)
Partner nations: United States United Kingdom Israel

In The Last Decade

Hanna Wallach

65 papers receiving 4.6k citations

Hit Papers

8 papers align trajectories log scale

Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support 2022 · 88 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Proceedings of the ACM on Human-Computer Interaction
2020 Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI
2020 Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
2019 Understanding the Effect of Accuracy on Trust in Machine Learning Models
2011 ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
2009 Edinburgh Research Explorer (University of Edinburgh)
2009 ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
2006 Topic modeling

Peers

Countries citing papers authored by Hanna Wallach

Since Specialization

Citations

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

Fields of papers citing papers by Hanna Wallach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanna Wallach, 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 Hanna Wallach Line = papers co-authored together Hanna Wallach links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna Wallach, Alexandra Olteanu	2024	0
2	Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers Jay Cunningham, Su Lin Blodgett, Michael P. Madaio, Hal Daumé, Christina A. Harrington, Hanna Wallach	2024	5
3	Accountability in Algorithmic Systems: From Principles to Practice Daricia Wilkinson, Kate Crawford, Hanna Wallach, Deborah Raji, Bogdana Rakova, Ranjit Singh, Angelika Strohmayer, Ethan Zuckerman	2023	4
4	Taxonomizing and Measuring Representational Harms: A Look at Image Tagging Proceedings of the AAAI Conference on Artificial Intelligence ·Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna Wallach, Solon Barocas	2023	12
5	FairPrism: Evaluating Fairness-Related Harms in Text Generation Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna Wallach	2023	5
6	Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert B. Sim, Hanna Wallach	2021	96
7	Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI Michael Madaio, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach Hit paper breakdown →	2020	231
8	Bayesian Poisson tucker decomposition for learning the structure of international relations International Conference on Machine Learning ·Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach	2016	9
9	Flexible Models for Microclustering with Application to Entity Resolution Neural Information Processing Systems ·Brenda Betancourt, Giacomo Zanella, Jeffrey W. Miller, Hanna Wallach, Abbas Zaidi, Rebecca C. Steorts	2016	13
10	Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI SSRN Electronic Journal ·Sarah Bird, Solon Barocas, Kate Crawford, Fernando Díaz, Hanna Wallach	2016	13
11	Computational Social Science Cambridge University Press eBooks ·Rubén Álvarez, Gary King, Christopher Warshaw, Margaret E. Roberts, John Beieler, Betsy Sinclair, Peter Foley, Daniel Conn, Joshua A. Tucker, Justin Grimmer, Brian K. Griepentrog, Inés Levin, Phillip N. Price, Hanna Wallach	2016	50
12	The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. International Conference on Artificial Intelligence and Statistics ·Fangjian Guo, Charles Blundell, Hanna Wallach, Katherine Heller	2015	20
13	Characterization of contact offenders and child exploitation material trafficking on five peer-to-peer networks Child Abuse & Neglect ·George Bissias, Brian Neil Levine, Marc Liberatore, Brian Lynn, J. Elton Moore, Hanna Wallach, Janis Wolak	2015	26
14	Summarizing Topics: From Word Lists to Phrases Neural Information Processing Systems ·Lauren A. Hannah, Hanna Wallach	2014	1
15	Topic-Partitioned Multinetwork Embeddings ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·P. M. Krafft, J. Elton Moore, Bruce Desmarais, Hanna Wallach	2012	6
16	Optimizing Semantic Coherence in Topic Models ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·David Mimno, Hanna Wallach, Edmund M. Talley, Miriam Leenders, Andrew McCallum Hit paper breakdown →	2011	816
17	Rethinking LDA: Why Priors Matter ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Hanna Wallach, David Mimno, Andrew McCallum Hit paper breakdown →	2009	380
18	Intelligent email: aiding users with AI ScholarWorks@UMassAmherst (University of Massachusetts Amherst) ·Mark Dredze, Hanna Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira	2008	15
19	Structured Topic Models for Language Hanna Wallach	2008	92
20	Efficient Training of Conditional Random Fields Hanna Wallach	2002	70

About Hanna Wallach

Hanna Wallach is a scholar working on General Social Sciences, Safety Research, Computational Mathematics, Artificial Intelligence and Computer Science Applications, having authored 67 papers that have together received 4.9k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Ethics and Social Impacts of AI (17 papers), Natural Language Processing Techniques (8 papers), Advanced Text Analysis Techniques (8 papers), Bayesian Methods and Mixture Models (7 papers), Computational and Text Analysis Methods (7 papers), Explainable Artificial Intelligence (XAI) (7 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in General Social Sciences (606 citations), Health Informatics (186 citations), Artificial Intelligence (3.0k citations), Safety Research (633 citations) and Computational Mathematics (26 citations). Hanna Wallach has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include David Mimno, Jennifer Wortman Vaughan, Andrew McCallum, Andrew McCallum, Edmund M. Talley, Iain Murray, Ruslan Salakhutdinov, Ming Yin, Michael Madaio and Luke Stark. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Communications of the ACM, Child Abuse & Neglect, Machine Learning and The Journal of Politics.

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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