Zion Mengesha

776 total citations · 1 hit paper
7 papers, 441 citations indexed

About

Zion Mengesha is a scholar working on Artificial Intelligence, Language and Linguistics and General Health Professions. According to data from OpenAlex, Zion Mengesha has authored 7 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in General Health Professions. Recurrent topics in Zion Mengesha's work include Interpreting and Communication in Healthcare (2 papers), Speech and dialogue systems (2 papers) and Speech Recognition and Synthesis (2 papers). Zion Mengesha is often cited by papers focused on Interpreting and Communication in Healthcare (2 papers), Speech and dialogue systems (2 papers) and Speech Recognition and Synthesis (2 papers). Zion Mengesha collaborates with scholars based in United States. Zion Mengesha's co-authors include Allison Koenecke, Sharad Goel, Dan Jurafsky, John R. Rickford, Andrew Nam, Courtney Heldreth, Michal Lahav, Joseph M. Moran, Mahima Pushkarna and Michelle Cohn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cognitive Science.

In The Last Decade

Zion Mengesha

7 papers receiving 419 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.

Racial disparities in automated speech recognition

2020 353 citations Allison Koenecke, Andrew Nam et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zion Mengesha United States	4	259	87	44	42	42	7	441
Rachael Tatman United States	6	181 0.7×	32 0.4×	37 0.8×	24 0.6×	46 1.1×	14	297
Hansol Lee South Korea	15	230 0.9×	32 0.4×	8 0.2×	16 0.4×	32 0.8×	48	671
Xiaolei Wang United States	11	177 0.7×	7 0.1×	6 0.1×	44 1.0×	33 0.8×	23	461
Jean Baratgin France	15	242 0.9×	41 0.5×	5 0.1×	30 0.7×	84 2.0×	46	575
Mladen Raković Australia	17	274 1.1×	30 0.3×	5 0.1×	25 0.6×	34 0.8×	54	819
Albert Ziegler Germany	9	49 0.2×	40 0.5×	9 0.2×	20 0.5×	145 3.5×	22	378
Samira Shaikh United States	14	318 1.2×	8 0.1×	20 0.5×	104 2.5×	95 2.3×	54	492
Asad Sayeed Germany	12	269 1.0×	15 0.2×	4 0.1×	36 0.9×	65 1.5×	52	441
Jonathan Kilgour United Kingdom	16	333 1.3×	3 0.0×	78 1.8×	22 0.5×	19 0.5×	33	657
Diane Horton Canada	12	78 0.3×	33 0.4×	4 0.1×	16 0.4×	13 0.3×	25	397

Countries citing papers authored by Zion Mengesha

Since Specialization

Citations

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

Fields of papers citing papers by Zion Mengesha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zion Mengesha

This figure shows the co-authorship network connecting the top 25 collaborators of Zion Mengesha. A scholar is included among the top collaborators of Zion Mengesha 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 Zion Mengesha. Zion Mengesha 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:

7 of 7 papers shown

1.

Cohn, Michelle, et al.. (2024). Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models. 1–15. 19 indexed citations

2.

Cohn, Michelle, Zion Mengesha, Michal Lahav, & Courtney Heldreth. (2024). African American English speakers’ pitch variation and rate adjustments for imagined technological and human addressees. SHILAP Revista de lepidopterología. 4(4). 2 indexed citations

3.

Huo, Zhouyuan, Khe Chai Sim, M. Chua, et al.. (2024). Improving Speech Recognition for African American English with Audio Classification. 12356–12360. 1 indexed citations

4.

Mengesha, Zion, et al.. (2021). “I don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans. Frontiers in Artificial Intelligence. 4. 725911–725911. 62 indexed citations

5.

Koenecke, Allison, Andrew Nam, Zion Mengesha, et al.. (2020). Racial disparities in automated speech recognition. Proceedings of the National Academy of Sciences. 117(14). 7684–7689. 353 indexed citations breakdown →

6.

Mengesha, Zion. (2019). Interview with John R. Rickford. Journal of English Linguistics. 47(4). 335–356. 3 indexed citations

7.

Mengesha, Zion & Georgia Zellou. (2018). The interaction between phonological and lexical variation in word recall in African American English.. Cognitive Science. 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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