Siddharth Gopal

1.4k total citations
11 papers, 303 citations indexed

About

Siddharth Gopal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Siddharth Gopal has authored 11 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Siddharth Gopal's work include Text and Document Classification Technologies (4 papers), Machine Learning and Data Classification (4 papers) and Bayesian Methods and Mixture Models (3 papers). Siddharth Gopal is often cited by papers focused on Text and Document Classification Technologies (4 papers), Machine Learning and Data Classification (4 papers) and Bayesian Methods and Mixture Models (3 papers). Siddharth Gopal collaborates with scholars based in United States. Siddharth Gopal's co-authors include Yiming Yang, Yiming Yang, Jaime Carbonell, Bing Bai, Alexandru Niculescu-Mizil, Daqing He, Zhen Yue and Abhay Harpale and has published in prestigious journals such as Machine Learning, ACM Transactions on Knowledge Discovery from Data and Figshare.

In The Last Decade

Siddharth Gopal

11 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siddharth Gopal United States	9	240	105	76	38	25	11	303
Hwee-Boon Low Singapore	4	244 1.0×	65 0.6×	122 1.6×	39 1.0×	18 0.7×	7	285
Muyun Yang China	11	362 1.5×	77 0.7×	77 1.0×	14 0.4×	17 0.7×	72	422
Franca Debole Italy	5	342 1.4×	71 0.7×	178 2.3×	25 0.7×	21 0.8×	12	393
Tianlei Hu China	9	159 0.7×	103 1.0×	85 1.1×	26 0.7×	18 0.7×	28	244
Atulya Velivelli United States	6	186 0.8×	56 0.5×	102 1.3×	30 0.8×	11 0.4×	11	277
Sabri Boutemedjet Canada	8	188 0.8×	197 1.9×	55 0.7×	29 0.8×	15 0.6×	12	315
Ruizhe Huang China	4	216 0.9×	94 0.9×	52 0.7×	51 1.3×	10 0.4×	7	252
Yongduo Sui China	7	187 0.8×	39 0.4×	44 0.6×	14 0.4×	11 0.4×	17	228
Carl Sable United States	8	244 1.0×	100 1.0×	91 1.2×	31 0.8×	57 2.3×	12	337
Chew‐Lim Tan Singapore	11	247 1.0×	133 1.3×	96 1.3×	31 0.8×	12 0.5×	20	363

Countries citing papers authored by Siddharth Gopal

Since Specialization

Citations

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

Fields of papers citing papers by Siddharth Gopal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Gopal

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

Gopal, Siddharth & Yiming Yang. (2018). Transformation-based Probabilistic Clustering with Supervision. Figshare. 270–279. 1 indexed citations

2.

Gopal, Siddharth & Yiming Yang. (2018). Distributed training of Large-scale Logistic models. Figshare. 28. 289–297. 15 indexed citations

3.

Gopal, Siddharth, Yiming Yang, Bing Bai, & Alexandru Niculescu-Mizil. (2018). Bayesian models for Large-scale Hierarchical Classification. Figshare. 25. 2411–2419. 9 indexed citations

4.

Gopal, Siddharth & Yiming Yang. (2018). Von Mises-Fisher Clustering Models. International Conference on Machine Learning. 32. 154–162. 23 indexed citations

5.

Gopal, Siddharth. (2016). Adaptive sampling for SGD by exploiting side information. International Conference on Machine Learning. 364–372. 16 indexed citations

6.

Gopal, Siddharth & Yiming Yang. (2015). Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification. ACM Transactions on Knowledge Discovery from Data. 9(3). 1–23. 26 indexed citations

7.

Gopal, Siddharth & Yiming Yang. (2013). Recursive regularization for large-scale classification with hierarchical and graphical dependencies. 257–265. 84 indexed citations

8.

Gopal, Siddharth, et al.. (2011). Statistical Learning for File-Type Identification. Figshare. 68–73. 21 indexed citations

9.

Yang, Yiming & Siddharth Gopal. (2011). Multilabel classification with meta-level features in a learning-to-rank framework. Machine Learning. 88(1-2). 47–68. 39 indexed citations

10.

Harpale, Abhay, Yiming Yang, Siddharth Gopal, Daqing He, & Zhen Yue. (2010). CiteData. 549–558. 7 indexed citations

11.

Gopal, Siddharth & Yiming Yang. (2010). Multilabel classification with meta-level features. 315–322. 62 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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