John Giorgi

1.1k total citations · 1 hit paper
8 papers, 603 citations indexed

About

John Giorgi is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, John Giorgi has authored 8 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 1 paper in Computational Theory and Mathematics. Recurrent topics in John Giorgi's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (3 papers). John Giorgi is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (3 papers). John Giorgi collaborates with scholars based in Canada, United States and Saudi Arabia. John Giorgi's co-authors include Gary D. Bader, Bo Wang, Bo Wang, Nicolas Corradi, Francis Martin, Manuela Krüger, Eric C. Chen, Emmanuelle Morin, Bernard Henrissat and Igor V. Grigoriev and has published in prestigious journals such as Bioinformatics, New Phytologist and The Journal of Open Source Software.

In The Last Decade

John Giorgi

8 papers receiving 586 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.

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

2021 243 citations John Giorgi, Bo Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Giorgi Canada	6	390	146	146	66	48	8	603
Henry J. Beker United Kingdom	12	102 0.3×	84 0.6×	258 1.8×	103 1.6×	79 1.6×	47	487
Lingpeng Kong China	11	204 0.5×	122 0.8×	192 1.3×	87 1.3×	10 0.2×	28	544
Sunggon Kim South Korea	9	36 0.1×	83 0.6×	86 0.6×	12 0.2×	53 1.1×	33	314
Weizhen Qi China	9	408 1.0×	30 0.2×	92 0.6×	189 2.9×	7 0.1×	14	687
Shima Khoshraftar Canada	5	113 0.3×	99 0.7×	42 0.3×	25 0.4×	6 0.1×	9	258
Jatinder Manhas India	12	186 0.5×	50 0.3×	66 0.5×	69 1.0×	8 0.2×	32	475
Saliya Ekanayake United States	9	51 0.1×	61 0.4×	33 0.2×	25 0.4×	6 0.1×	27	247
Gerhard Engelbrecht Austria	14	48 0.1×	87 0.6×	153 1.0×	7 0.1×	14 0.3×	42	533
Damla Senol Cali Switzerland	10	154 0.4×	279 1.9×	63 0.4×	24 0.4×	8 0.2×	18	524
K Sreelakshmi India	8	132 0.3×	35 0.2×	58 0.4×	27 0.4×	15 0.3×	19	289

Countries citing papers authored by John Giorgi

Since Specialization

Citations

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

Fields of papers citing papers by John Giorgi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Giorgi

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

8 of 8 papers shown

1.

Giorgi, John, et al.. (2023). WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models. 16 indexed citations

2.

Giorgi, John, Luca Soldaini, Bo Wang, et al.. (2023). Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval. 8177–8199. 2 indexed citations

3.

Giorgi, John, Gary D. Bader, & Bo Wang. (2022). A sequence-to-sequence approach for document-level relation extraction. 10–25. 30 indexed citations

4.

Franz, Max, Jeffrey V. Wong, Metin Can Siper, et al.. (2021). A flexible search system for high-accuracy identification of biological entities and molecules. The Journal of Open Source Software. 6(67). 3756–3756. 1 indexed citations

5.

Giorgi, John, et al.. (2021). DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations. 879–895. 243 indexed citations breakdown →

6.

Giorgi, John & Gary D. Bader. (2019). Towards reliable named entity recognition in the biomedical domain. Bioinformatics. 36(1). 280–286. 51 indexed citations

7.

Giorgi, John & Gary D. Bader. (2018). Transfer learning for biomedical named entity recognition with neural networks. Bioinformatics. 34(23). 4087–4094. 106 indexed citations

8.

Chen, Eric C., Emmanuelle Morin, Denis Beaudet, et al.. (2018). High intraspecific genome diversity in the model arbuscular mycorrhizal symbiont Rhizophagus irregularis. New Phytologist. 220(4). 1161–1171. 154 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.

Explore authors with similar magnitude of impact