Alex Ratner

689 total citations · 1 hit paper
11 papers, 372 citations indexed

About

Alex Ratner is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Alex Ratner has authored 11 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Alex Ratner's work include Topic Modeling (6 papers), Data Quality and Management (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Alex Ratner is often cited by papers focused on Topic Modeling (6 papers), Data Quality and Management (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Alex Ratner collaborates with scholars based in United States, Switzerland and Israel. Alex Ratner's co-authors include Christopher Ré, Sen Wu, Christopher De, Jaeho Shin, Feiran Wang, Cheng-Yu Hsieh, Ranjay Krishna, Tomas Pfister, Chih‐Kuan Yeh and Yasuhisa Fujii and has published in prestigious journals such as Communications of the ACM, BMC Bioinformatics and ACM SIGMOD Record.

In The Last Decade

Alex Ratner

11 papers receiving 358 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.

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

2023 108 citations Cheng-Yu Hsieh, Chunliang Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Ratner United States	9	278	64	59	49	41	11	372
Saeedeh Shekarpour Germany	13	334 1.2×	111 1.7×	68 1.2×	53 1.1×	30 0.7×	29	402
Ricardo Usbeck Germany	14	467 1.7×	85 1.3×	111 1.9×	36 0.7×	35 0.9×	42	515
Kai Eckert Germany	10	199 0.7×	84 1.3×	33 0.6×	43 0.9×	20 0.5×	39	248
Ashwin Paranjape United States	4	195 0.7×	54 0.8×	17 0.3×	20 0.4×	39 1.0×	7	325
Michael Ley Germany	4	133 0.5×	87 1.4×	37 0.6×	22 0.4×	25 0.6×	16	242
Xueguang Ma Canada	10	334 1.2×	99 1.5×	32 0.5×	17 0.3×	99 2.4×	32	427
Anna Tordai Netherlands	8	206 0.7×	110 1.7×	31 0.5×	39 0.8×	44 1.1×	17	267
Roxane Segers Netherlands	9	320 1.2×	82 1.3×	52 0.9×	48 1.0×	57 1.4×	19	375
Anastasia Shimorina France	6	396 1.4×	50 0.8×	27 0.5×	26 0.5×	67 1.6×	11	478
Björn Buchhold Germany	9	227 0.8×	69 1.1×	40 0.7×	26 0.5×	27 0.7×	11	286

Countries citing papers authored by Alex Ratner

Since Specialization

Citations

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

Fields of papers citing papers by Alex Ratner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Ratner

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

11 of 11 papers shown

1.

Hsieh, Cheng-Yu, Chunliang Li, Chih‐Kuan Yeh, et al.. (2023). Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. 8003–8017. 108 indexed citations breakdown →

2.

Ratner, Alex, et al.. (2020). Extracting chemical reactions from text using Snorkel. BMC Bioinformatics. 21(1). 217–217. 15 indexed citations

3.

Israeli, A, et al.. (2019). Osprey. 1–11. 13 indexed citations

4.

Bach, Stephen H., Daniel Rodriguez Gutierrez, Chong Luo, et al.. (2019). Snorkel DryBell. PubMed. 2019. 362–375. 46 indexed citations

5.

Ratner, Alex, Chris Ré, & Peter Bailis. (2018). Research for practice. Communications of the ACM. 61(11). 95–97. 1 indexed citations

6.

Ratner, Alex, Braden Hancock, Jared Dunnmon, Roger E. Goldman, & Christopher Ré. (2018). Snorkel MeTaL. PubMed. 2018. 1–4. 22 indexed citations

7.

Ratner, Alex & Christopher Ré. (2018). Knowledge Base Construction in the Machine-learning Era. Queue. 16(3). 79–90. 5 indexed citations

8.

Zhang, Ce, Christopher Ré, Michael Cafarella, et al.. (2017). DeepDive. Communications of the ACM. 60(5). 93–102. 41 indexed citations

9.

De, Christopher, Alex Ratner, Christopher Ré, et al.. (2016). Incremental knowledge base construction using DeepDive. The VLDB Journal. 26(1). 81–105. 33 indexed citations

10.

De, Christopher, Alex Ratner, Christopher Ré, et al.. (2016). DeepDive: Declarative Knowledge Base Construction.. PubMed. 45(1). 60–67. 46 indexed citations

11.

De, Christopher, Alex Ratner, Christopher Ré, et al.. (2016). DeepDive. ACM SIGMOD Record. 45(1). 60–67. 42 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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