Derek Tam

1.2k total citations
11 papers, 123 citations indexed

About

Derek Tam is a scholar working on Artificial Intelligence, Emergency Medicine and Surgery. According to data from OpenAlex, Derek Tam has authored 11 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Emergency Medicine and 2 papers in Surgery. Recurrent topics in Derek Tam's work include Natural Language Processing Techniques (3 papers), Intestinal Malrotation and Obstruction Disorders (2 papers) and Topic Modeling (2 papers). Derek Tam is often cited by papers focused on Natural Language Processing Techniques (3 papers), Intestinal Malrotation and Obstruction Disorders (2 papers) and Topic Modeling (2 papers). Derek Tam collaborates with scholars based in United States, Canada and Hong Kong. Derek Tam's co-authors include Mohit Bansal, Colin Raffel, Diyi Yang, Jiaao Chen, Dian Yu, Shiyue Zhang, Steven Franconeri, R. Keith Humphries, Max Berger and Jeremy Parker and has published in prestigious journals such as Nature Communications, Blood and Cognition.

In The Last Decade

Derek Tam

11 papers receiving 117 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek Tam United States	7	62	17	12	12	9	11	123
Anees Kazi Germany	6	57 0.9×	41 2.4×	17 1.4×	8 0.7×	2 0.2×	12	156
Samuel Chapman United States	5	54 0.9×	18 1.1×	18 1.5×	7 0.6×	3 0.3×	7	113
Mehak Aggarwal India	4	68 1.1×	15 0.9×	7 0.6×	21 1.8×	1 0.1×	8	181
Heliodoro Tejeda United States	6	78 1.3×	10 0.6×	23 1.9×	9 0.8×	1 0.1×	6	190
Abhik Bhattacharjee Bangladesh	5	203 3.3×	35 2.1×	11 0.9×	24 2.0×	2 0.2×	7	265
Richard Osuala Spain	6	96 1.5×	48 2.8×	9 0.8×	4 0.3×		12	175
Priyakshi Mahanta India	6	85 1.4×	15 0.9×	75 6.3×	7 0.6×		13	234
Xiaochang Peng United States	10	291 4.7×	42 2.5×	25 2.1×	22 1.8×	2 0.2×	15	312
Katherine A. Keith United States	5	101 1.6×	20 1.2×	7 0.6×	14 1.2×		9	250
Konstantina Palla United Kingdom	5	39 0.6×	9 0.5×	7 0.6×	15 1.3×		12	79

Countries citing papers authored by Derek Tam

Since Specialization

Citations

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

Fields of papers citing papers by Derek Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Tam. A scholar is included among the top collaborators of Derek Tam 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 Derek Tam. Derek Tam 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.

Cole, Grace, Jeremy Parker, Eric Yung, et al.. (2023). Meis1 establishes the pre-hemogenic endothelial state prior to Runx1 expression. Nature Communications. 14(1). 4537–4537. 10 indexed citations

2.

Tam, Derek, et al.. (2023). Evaluating the Factual Consistency of Large Language Models Through News Summarization. 5220–5255. 19 indexed citations

3.

Chen, Jiaao, Derek Tam, Colin Raffel, Mohit Bansal, & Diyi Yang. (2023). An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. Transactions of the Association for Computational Linguistics. 11. 191–211. 59 indexed citations

4.

Cheung, Tan To, Simon C.H. Yu, Stephen L. Chan, et al.. (2022). The Hong Kong consensus statements on unresectable hepatocellular carcinoma: narrative review and update for 2021. HepatoBiliary Surgery and Nutrition. 12(3). 366–385. 7 indexed citations

5.

Cole, Grace, Jeremy S. Parker, Eric Yung, et al.. (2022). Meis1 Establishes the Pre-Hemogenic Endothelial State Prior to Runx1 Expression. Blood. 140(Supplement 1). 2857–2858. 1 indexed citations

6.

Tam, Derek, et al.. (2022). Isochrony-Aware Neural Machine Translation for Automatic Dubbing. Interspeech 2022. 1776–1780. 7 indexed citations

7.

Tam, Derek, Max Berger, & Hyunjoo Lee. (2020). Calculated decisions: Jones criteria for acute rheumatic fever diagnosis. PubMed. 17(1). CD3–CD4. 2 indexed citations

8.

Tam, Derek & Héctor Vázquez. (2019). Calculated decisions: Pediatric appendicitis risk calculator (pARC). PubMed. 16(9). CD5–CD6. 1 indexed citations

9.

Yu, Dian, Derek Tam, & Steven Franconeri. (2018). Gestalt similarity groupings are not constructed in parallel. Cognition. 182. 8–13. 10 indexed citations

10.

Bonadio, William, et al.. (2017). Lack of utility of measuring serum bilirubin concentration in distinguishing perforation status of pediatric appendicitis. The American Journal of Emergency Medicine. 35(6). 885–888. 6 indexed citations

11.

Tam, Derek, et al.. (2017). An Investigation into Campus Accessibility. Open Collections. 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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