Toufiq Parag

1.5k total citations
21 papers, 348 citations indexed

About

Toufiq Parag is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Toufiq Parag has authored 21 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biophysics. Recurrent topics in Toufiq Parag's work include Cell Image Analysis Techniques (7 papers), Advanced Electron Microscopy Techniques and Applications (5 papers) and Face and Expression Recognition (4 papers). Toufiq Parag is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Advanced Electron Microscopy Techniques and Applications (5 papers) and Face and Expression Recognition (4 papers). Toufiq Parag collaborates with scholars based in United States, Switzerland and India. Toufiq Parag's co-authors include Ahmed Elgammal, Dmitri B. Chklovskii, Juan Nunez-Iglesias, Ryan Kennedy, Jianbo Shi, A. Mittal, Fatih Porikli, Hongcheng Wang, Longlong Jing and Yingli Tian and has published in prestigious journals such as PLoS ONE, Lecture notes in computer science and Informatics.

In The Last Decade

Toufiq Parag

21 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Toufiq Parag United States	10	193	84	79	47	39	21	348
Mojtaba Seyedhosseini United States	11	146 0.8×	140 1.7×	68 0.9×	80 1.7×	58 1.5×	15	344
Art Pope United States	6	206 1.1×	93 1.1×	20 0.3×	55 1.2×	45 1.2×	11	415
Ritwik Kumar United States	11	196 1.0×	49 0.6×	55 0.7×	23 0.5×	17 0.4×	16	307
Ahmed Fakhry United States	10	153 0.8×	60 0.7×	106 1.3×	24 0.5×	66 1.7×	18	408
Amelio Vázquez-Reina United States	8	118 0.6×	189 2.3×	20 0.3×	83 1.8×	47 1.2×	12	308
Ali K. Al-Awami Saudi Arabia	9	159 0.8×	121 1.4×	25 0.3×	20 0.4×	35 0.9×	9	285
N. Kasthuri India	9	27 0.1×	70 0.8×	22 0.3×	64 1.4×	27 0.7×	46	322
Hui Ding China	12	131 0.7×	12 0.1×	43 0.5×	9 0.2×	68 1.7×	63	467
Yujia Huang China	8	394 2.0×	79 0.9×	34 0.4×	20 0.4×	35 0.9×	21	601
Hang Zhou China	11	94 0.5×	218 2.6×	79 1.0×	12 0.3×	86 2.2×	31	452

Countries citing papers authored by Toufiq Parag

Since Specialization

Citations

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

Fields of papers citing papers by Toufiq Parag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toufiq Parag

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

20 of 20 papers shown

Kumar, Prabhat, et al.. (2022). SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 22–32. 10 indexed citations

Jing, Longlong, Toufiq Parag, Zhe Wu, Yingli Tian, & Hongcheng Wang. (2021). VideoSSL: Semi-Supervised Learning for Video Classification. 1109–1118. 48 indexed citations

Lin, Zudi, Donglai Wei, Won-Dong Jang, et al.. (2020). Two Stream Active Query Suggestion for Active Learning in Connectomics. Lecture notes in computer science. 12363. 103–120. 10 indexed citations

Wei, Donglai, et al.. (2018). Parallel Separable 3D Convolution for Video and Volumetric Data Understanding.. arXiv (Cornell University). 42. 3 indexed citations

Parag, Toufiq, et al.. (2018). Efficient Correction for EM Connectomics with Skeletal Representation.. British Machine Vision Conference. 47. 3 indexed citations

Kaynig, Verena, et al.. (2017). ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. 6 indexed citations

Haehn, Daniel, Ali K. Al-Awami, Lee Kamentsky, et al.. (2017). Scalable Interactive Visualization for Connectomics. Informatics. 4(3). 29–29. 16 indexed citations

Parag, Toufiq, et al.. (2015). A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation. PLoS ONE. 10(5). e0125825–e0125825. 18 indexed citations

Parag, Toufiq, Dan Cireşan, & Alessandro Giusti. (2015). Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. 657–665. 6 indexed citations

10.

Parag, Toufiq, et al.. (2014). A Context-aware Delayed Agglomeration Framework for EM Segmentation.. arXiv (Cornell University). 3 indexed citations

11.

Parag, Toufiq, Stephen M. Plaza, & Louis K. Scheffer. (2014). Small Sample Learning of Superpixel Classifiers for EM Segmentation. Lecture notes in computer science. 17(Pt 1). 389–397. 10 indexed citations

12.

Nunez-Iglesias, Juan, Ryan Kennedy, Toufiq Parag, Jianbo Shi, & Dmitri B. Chklovskii. (2013). Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images. PLoS ONE. 8(8). e71715–e71715. 98 indexed citations

13.

Nunez-Iglesias, Juan, Ryan Kennedy, Toufiq Parag, Jianbo Shi, & Dmitri B. Chklovskii. (2013). Machine learning of hierarchical clustering to segment n-dimensional images. 2 indexed citations

14.

Parag, Toufiq, Claus Bahlmann, Vinay Shet, & Maneesh Singh. (2012). A grammar for hierarchical object descriptions in logic programs. 33–38. 1 indexed citations

15.

Parag, Toufiq & Ahmed Elgammal. (2011). Supervised hypergraph labeling. 9. 2289–2296. 3 indexed citations

16.

Parag, Toufiq. (2011). Coupled label and intensity MRF models for IR target detection. 48. 7–13. 3 indexed citations

17.

Parag, Toufiq & Ahmed Elgammal. (2009). A voting approach to learn affinity matrix for robust clustering. 2409–2412. 1 indexed citations

18.

Parag, Toufiq, Fatih Porikli, & Ahmed Elgammal. (2008). Boosting adaptive linear weak classifiers for online learning and tracking. ANU Open Research (Australian National University). 1–8. 38 indexed citations

19.

Parag, Toufiq & Ahmed Elgammal. (2006). Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. 128.1–128.. 5 indexed citations

20.

Parag, Toufiq, Ahmed Elgammal, & A. Mittal. (2006). A Framework for Feature Selection for Background Subtraction. 2. 1916–1923. 55 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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