Hubert Jin

1.0k total citations · 1 hit paper
8 papers, 717 citations indexed

About

Hubert Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hubert Jin has authored 8 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Hubert Jin's work include Advanced Numerical Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Hubert Jin is often cited by papers focused on Advanced Numerical Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Hubert Jin collaborates with scholars based in United States. Hubert Jin's co-authors include Hugues Hoppe, Werner Stuetzle, John A. McDonald, Tom Duchamp, Tony DeRose, James Allan, Victor Lavrenko, Richard Schwartz, Richard Evan Schwartz and Richard Schwartz and has published in prestigious journals such as Language Resources and Evaluation and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Hubert Jin

8 papers receiving 638 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.

Piecewise smooth surface reconstruction

1994 501 citations Hugues Hoppe, Tony DeRose et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hubert Jin United States	8	391	320	178	153	82	8	717
Rhaleb Zayer Germany	13	225 0.6×	200 0.6×	49 0.3×	168 1.1×	16 0.2×	31	445
Eric Shaffer United States	8	149 0.4×	195 0.6×	37 0.2×	235 1.5×	24 0.3×	18	442
Amir Hertz Israel	8	315 0.8×	268 0.8×	82 0.5×	465 3.0×	7 0.1×	12	751
Aleksander Holynski United States	11	152 0.4×	242 0.8×	119 0.7×	657 4.3×	10 0.1×	19	900
Stefan Schirra Germany	12	111 0.3×	222 0.7×	63 0.4×	131 0.9×	13 0.2×	40	538
Pavel Tokmakov United States	9	125 0.3×	139 0.4×	103 0.6×	364 2.4×	18 0.2×	17	531
Chaman L. Sabharwal United States	12	99 0.3×	84 0.3×	73 0.4×	96 0.6×	23 0.3×	60	378
Daniel R. Schikore United States	13	308 0.8×	480 1.5×	17 0.1×	409 2.7×	12 0.1×	22	774
Lutz Kettner Germany	12	208 0.5×	318 1.0×	39 0.2×	144 0.9×	12 0.1×	35	501
Ioannis Ivrissimtzis United Kingdom	13	192 0.5×	150 0.5×	24 0.1×	213 1.4×	10 0.1×	58	423

Countries citing papers authored by Hubert Jin

Since Specialization

Citations

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

Fields of papers citing papers by Hubert Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubert Jin

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

Graff, David, Tim Buckwalter, Mohamed Maamouri, & Hubert Jin. (2006). Lexicon Development for Varieties of Spoken Colloquial Arabic.. Language Resources and Evaluation. 999–1004. 10 indexed citations

2.

Allan, James, Victor Lavrenko, & Hubert Jin. (2000). First story detection in TDT is hard. 374–381. 91 indexed citations

3.

Jin, Hubert, et al.. (1999). Topic detection in broadcast news. 2451–2454. 34 indexed citations

4.

Jin, Hubert, et al.. (1999). Topic tracking for radio, TV broadcast, and newswire. 2439–2442. 28 indexed citations

5.

Jin, Hubert, et al.. (1999). Topic tracking for radio, TV broadcast, and newswire. 2439–2442. 34 indexed citations

6.

Kubala, Francis, Hubert Jin, Spyros Matsoukas, et al.. (1997). Advances in transcription of broadcast news. 927–930. 8 indexed citations

7.

Jin, Hubert, T. Duchamp, Hugues Hoppe, et al.. (1995). <title>Surface reconstruction from misregistered data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2573. 324–328. 11 indexed citations

8.

Hoppe, Hugues, Tony DeRose, Tom Duchamp, et al.. (1994). Piecewise smooth surface reconstruction. 295–302. 501 indexed citations breakdown →

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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