Doris Xin

1.7k total citations
10 papers, 297 citations indexed

About

Doris Xin is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Doris Xin has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Information Systems and Management. Recurrent topics in Doris Xin's work include Machine Learning and Data Classification (4 papers), Advanced Bandit Algorithms Research (3 papers) and Scientific Computing and Data Management (3 papers). Doris Xin is often cited by papers focused on Machine Learning and Data Classification (4 papers), Advanced Bandit Algorithms Research (3 papers) and Scientific Computing and Data Management (3 papers). Doris Xin collaborates with scholars based in United States and Austria. Doris Xin's co-authors include Aditya Parameswaran, Stephen Macke, Niloufar Salehi, Neoklis Polyzotis, Hui Miao, Deepak Agarwal, Jonathan Traupman, Bo Long, Silu Huang and Angela Lee and has published in prestigious journals such as Proceedings of the VLDB Endowment, Natural Computing and Proceedings of the 2022 International Conference on Management of Data.

In The Last Decade

Doris Xin

9 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doris Xin United States	6	170	62	55	46	40	10	297
Michael Wolverton United States	10	231 1.4×	65 1.0×	110 2.0×	50 1.1×	48 1.2×	20	386
Melinda Gervasio United States	10	231 1.4×	63 1.0×	55 1.0×	59 1.3×	72 1.8×	37	351
Stephen Macke United States	6	104 0.6×	94 1.5×	33 0.6×	33 0.7×	26 0.7×	8	237
Ilaria Tiddi Netherlands	9	198 1.2×	67 1.1×	32 0.6×	18 0.4×	19 0.5×	30	340
Νικόλαος Κωνσταντίνου Greece	12	159 0.9×	151 2.4×	47 0.9×	39 0.8×	113 2.8×	39	373
Pierre Andrews Italy	7	247 1.5×	50 0.8×	139 2.5×	19 0.4×	23 0.6×	28	380
Weitao Ma China	2	236 1.4×	54 0.9×	29 0.5×	10 0.2×	22 0.6×	6	414
Eric Breck United States	13	712 4.2×	168 2.7×	45 0.8×	29 0.6×	38 0.9×	21	839
Vikas Hassija India	9	79 0.5×	60 1.0×	30 0.5×	13 0.3×	36 0.9×	17	264
Yanghe Pan China	6	123 0.7×	45 0.7×	14 0.3×	16 0.3×	37 0.9×	19	255

Countries citing papers authored by Doris Xin

Since Specialization

Citations

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

Fields of papers citing papers by Doris Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doris Xin

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

10 of 10 papers shown

1.

Böehm, Matthias, Paroma Varma, & Doris Xin. (2022). DEEM'22: Data Management for End-to-End Machine Learning. Proceedings of the 2022 International Conference on Management of Data. 2548–2549.

2.

Xin, Doris, Hui Miao, Aditya Parameswaran, & Neoklis Polyzotis. (2021). Production Machine Learning Pipelines. 2639–2652. 37 indexed citations

3.

Xin, Doris, et al.. (2021). Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. 1–16. 61 indexed citations

4.

Macke, Stephen, et al.. (2019). A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead.. IEEE Data(base) Engineering Bulletin. 42. 59–70. 24 indexed citations

5.

Xin, Doris, et al.. (2018). HELIX. Proceedings of the VLDB Endowment. 12(4). 446–460. 36 indexed citations

6.

Xin, Doris, et al.. (2018). Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. 4 indexed citations

7.

Xin, Doris, et al.. (2018). Accelerating Human-in-the-loop Machine Learning. 1–4. 79 indexed citations

8.

Xin, Doris, et al.. (2017). Folding. 201–209. 4 indexed citations

9.

Agarwal, Deepak, et al.. (2014). LASER. 173–182. 47 indexed citations

10.

Xin, Doris, et al.. (2014). Parallel computation using active self-assembly. Natural Computing. 14(2). 225–250. 5 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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