Naomi Saphra

799 total citations
9 papers, 158 citations indexed

About

Naomi Saphra is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naomi Saphra has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naomi Saphra's work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Software Engineering Research (2 papers). Naomi Saphra is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Software Engineering Research (2 papers). Naomi Saphra collaborates with scholars based in United Kingdom, United States and France. Naomi Saphra's co-authors include Mohammad Tahaei, Kami Vaniea, Adam Lopez, Juho Kannala, Andrea Vedaldi, Subhransu Maji, Matthew B. Blaschko, David Weiß, Iasonas Kokkinos and Ross Girshick and has published in prestigious journals such as Nature Machine Intelligence, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.

In The Last Decade

Naomi Saphra

9 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naomi Saphra United Kingdom	6	74	48	39	33	12	9	158
Dimitra Gkatzia United Kingdom	9	202 2.7×	48 1.0×	28 0.7×	12 0.4×	7 0.6×	33	248
Fabian Bohnert Australia	7	157 2.1×	47 1.0×	92 2.4×	19 0.6×	9 0.8×	16	243
Naveen Arivazhagan United States	3	214 2.9×	55 1.1×	28 0.7×	13 0.4×	3 0.3×	4	249
Avishek Joey Bose United States	6	89 1.2×	34 0.7×	34 0.9×	12 0.4×	4 0.3×	19	148
Anna Gerber Australia	7	51 0.7×	21 0.4×	49 1.3×	6 0.2×	5 0.4×	16	128
Kaixiang Mo Hong Kong	8	103 1.4×	29 0.6×	33 0.8×	17 0.5×	38 3.2×	8	172
Alex Marin United States	9	184 2.5×	19 0.4×	24 0.6×	8 0.2×	6 0.5×	20	208
Ziyu Yao United States	8	117 1.6×	26 0.5×	41 1.1×	7 0.2×	3 0.3×	27	163
Daniele Metilli Italy	8	51 0.7×	49 1.0×	10 0.3×	11 0.3×	8 0.7×	19	154
Annajiat Alim Rasel Bangladesh	7	73 1.0×	21 0.4×	32 0.8×	15 0.5×	6 0.5×	70	164

Countries citing papers authored by Naomi Saphra

Since Specialization

Citations

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

Fields of papers citing papers by Naomi Saphra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Saphra

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Saphra. A scholar is included among the top collaborators of Naomi Saphra 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 Naomi Saphra. Naomi Saphra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Saphra, Naomi, et al.. (2024). First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. 2310–2326. 1 indexed citations

2.

Saphra, Naomi, et al.. (2024). Dynamic Masking Rate Schedules for MLM Pretraining. 477–487. 1 indexed citations

3.

Hupkes, Dieuwke, Mario Giulianelli, Verna Dankers, et al.. (2023). A taxonomy and review of generalization research in NLP. Nature Machine Intelligence. 5(10). 1161–1174. 29 indexed citations

4.

Tahaei, Mohammad, Kami Vaniea, & Naomi Saphra. (2020). Understanding Privacy-Related Questions on Stack Overflow. Edinburgh Research Explorer. 1–14. 56 indexed citations

5.

Saphra, Naomi & Adam Lopez. (2020). LSTMs Compose—and Learn—Bottom-Up. Edinburgh Research Explorer (University of Edinburgh). 2797–2809. 5 indexed citations

6.

Saphra, Naomi & Adam Lopez. (2018). Language Models Learn POS First. Edinburgh Research Explorer. 328–330. 3 indexed citations

7.

Saphra, Naomi & Adam Lopez. (2015). AMRICA: an AMR Inspector for Cross-language Alignments. Edinburgh Research Explorer (University of Edinburgh). 36–40. 6 indexed citations

8.

Vedaldi, Andrea, Stavros Tsogkas, Subhransu Maji, et al.. (2014). Understanding Objects in Detail with Fine-Grained Attributes. SPIRE - Sciences Po Institutional REpository. 3622–3629. 50 indexed citations

9.

Schneider, Nathan, Brendan O’Connor, Naomi Saphra, et al.. (2013). A Framework for (Under)specifying Dependency Syntax without Overloading Annotators. arXiv (Cornell University). 51–60. 7 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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